435 Analytics Engineer jobs in India

Business Intelligence Analytics Engineer

DataRobot

Posted 2 days ago

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**Job Description:**
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
**About DataRobot**
DataRobot delivers the industry-leading agentic AI applications and platform that maximize impact and minimize risk for your business. DataRobot's enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company's proven combination of cutting-edge software and world-class AI implementation, training, and support services empowers any organization, regardless of size, industry, or resources, to drive better business outcomes with AI. 
**You will be responsible for:**
+ Work with business leaders to implement best practices for measuring business processes, define critical KPIs and metrics, manage performance, and create operational rigor.
+ Drive the framework to measure marketing, demand gen, customer success, and financial processes using industry-standard metrics, e.g., bookings/ARR, financial forecast, Plan vs. actuals, conduct rigorous exploratory data analysis, and create executive-facing dashboards that drive decision-making and actions.
+ Communicate insights through reports, dashboards, and advanced analytics, and build narratives and strategic recommendations to support key decision-making.
+ Create a playbook to drive quarter-end close activities, monthly/quarterly financial forecasting
+ Influence process teams to address process gaps that result in data issues and drive process improvements.
+ Work with data engineering/data science team to establish data sources that serve teams' business needs, identifying and advocating for process improvements and industry best practices (e.g., standard metric definitions)
+ Synthesizing large volumes of data with attention to granular details, building certified data sources, and addressing data quality issues and process gaps.
+ Support multiple projects at the same time in a fast-paced, results-oriented environment.
+ Drive automation of repetitive processes and build self-serve tools (eg: Tableau Dashboards) to empower product and business stakeholders.
**Requirements** **:**
+ 4-6 years of experience
+ Understanding of GTM and post-sales business process at a SaaS business.
+ Experience building SaaS metrics such as Renewals, Churn, Customer Health Scores, Retention Rates, and ARR is required.
+ Experience with data modeling and data transformation tools like DBT.
+ Strong understanding of B2B SaaS metrics and business processes.
+ Fluent in advanced analytical SQL, Excel, and visualization tools such as Tableau, Looker, or Qlikview; experience with a statistical programming language like R or Python preferred
+ Prior work experience in a business analytics space would be highly valued. (A good understanding of A/B testing principles is preferred)
+ Analytical and problem-solving experience, exposure to large-scale data warehouses
+ Deep understanding of complex data models, BI methodologies, Data Architecture principles, Master data and metadata
+ Understanding of operational processes, systems, and data in multiple areas of Sales and operations, such as forecasting, Pipeline management, Account management, Sales performance, etc.
+ Entrepreneurial self-starter. Thrive in a fast-paced environment and independently capable of seeking information, corralling resources, and delivering results without waiting for direction.
+ Thrive on combining rigorous data-driven analysis, strong business and product judgment, and an ability to work well across teams.
+ Comfortable handling sometimes ambiguously defined problems, developing creative solutions, and delivering against aggressive timelines
+ Consistent track record of initiating and leading cross-functional and cross-organizational projects, building relationships with partners, and influencing decision-makers.
+ Strong verbal and written communication skills.
+ A data-driven mindset with a degree in any quantitative discipline, such as Engineering, Computer Science, Economics, Statistics, or Mathematics
The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
**DataRobot Operating Principles:**
+ Wow Our Customers
+ Set High Standards
+ Be Better Than Yesterday
+ Be Rigorous
+ Assume Positive Intent
+ Have the Tough Conversations
+ Be Better Together
+ Debate, Decide, Commit
+ Deliver Results
+ Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy ( .
DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website ( and connect with us on LinkedIn ( .
**_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._**
**_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._**
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Analytics Engineer

JRD Systems

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Key Responsibilities

  • Design, build, and optimize data models and transformations in BigQuery using SQL , CTEs , window functions , and incremental logic .
  • Develop modular, reusable pipelines using Dataform or dbt , ensuring proper documentation, dependencies, and version control.
  • Collaborate with data architects, analysts, and business teams to define and maintain governed data layers .
  • Maintain and validate Looker dashboards to ensure parity between legacy (Roadnet) and modernized data sources.
  • Participate in the design of data architecture and lineage , ensuring consistency, scalability, and performance optimization.
  • Partner with governance and infrastructure teams to establish best practices for data quality, model ownership, and CI/CD workflows.
  • Automate and operationalize data tasks using Python , Cloud Functions , or Terraform (as applicable).


Ideal Candidate Profile

  • 5–9 years of experience in data engineering or analytics engineering roles.
  • Proven experience in BigQuery , dbt/Dataform , and Looker within the GCP environment .
  • Strong understanding of data architecture , lineage , and governed data modeling .
  • Hands-on experience with SQL performance optimization and data quality management .
  • Excellent collaboration and communication skills to work with cross-functional teams.
  • Exposure to transportation, logistics, or routing analytics is a plus.
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Senior Analytics Engineer

Hyderabad, Andhra Pradesh Warner Bros. Discovery

Posted 2 days ago

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**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Welcome to Warner Bros. Discovery. the stuff dreams are made of.
Who We Are.
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next.
From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
**Senior Analytics Engineer - Location.**
_About Warner Bros. Discovery:_
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media's premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit our team:_
The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.
_Roles & Responsibilities:_
We are seeking a highly motivated Senior Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics. As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure.
Your work will directly support analysts, data scientists, and business stakeholders by ensuring data pipelines, models, and metrics are efficient, accurate, and accessible. This role is critical to driving a data-driven culture and enabling teams to make informed decisions.
· Architect and manage data pipelines using Databricks notebooks and Apache Spark, focusing on performance and efficiency.
· Troubleshoot and optimize Spark applications for handling large, complex datasets.
· Develop robust data transformations, data integrations, and automation scripts in SQL and Python.
· Implement best practices for code modularity, testing, and deployment within the analytics ecosystem.
· Work closely with Data Engineers, Analysts, and other stakeholders to understand data needs and deliver effective solutions.
· Provide clear documentation and training to ensure best practices are followed across the organization.
· Partner with cross-functional teams to understand evolving data needs and propose innovative solutions.
· Contribute to a culture of continuous improvement by evaluating and implementing emerging technologies and approaches.
What to Bring:
· Bachelor's degree in computer science, business analytics or similar discipline.
· 5-7+ years of experience in analytics engineering, data engineering, or a related field.
· Proficiency in SQL, Spark and ETL/ELT tools (e.g., dbt, Airflow)
· Strong Python (or similar) scripting skills for automation and data manipulation.
· Hands-on experience with Databricks and Apache Spark, including Spark tuning and cluster management.
· Strong analytical and problem-solving abilities to address complex data challenges.
· Excellent communication skills to work with both technical and non-technical stakeholders.
_How We Get Things Done._
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
_Championing Inclusion at WBD_
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
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Analytics Engineer I

Hyderabad, Andhra Pradesh Bristol Myers Squibb

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**Working with Us**
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Summary:**
The Analytics Engineer position is a specialized role within BIA Hyderabad. This role involves applying advanced analytical techniques to transform complex data into actionable insights that support strategic decision-making. The engineer will collaborate with cross-functional teams, perform in-depth analysis, build scalable data pipelines, and deliver recommendations to enhance business outcomes and foster innovation.
**Roles & Responsibilities**
+ Hands-on design, deployment, operations, maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.
+ Develop a close working relationship with data science teams to facilitate and implement best practices relating to data engineering, and MLOps.
+ Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis.
+ Build and optimize robust data pipelines and analytical workflows to enable statistical analysis, support machine learning models, and deliver insights that inform strategic decision-making.
+ Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems
+ Collaborate with data engineers and IT teams to ensure data availability, quality and reliability for analysis and modeling
+ Actively learns new data engineering tools and methods or gain proficiency in existing data engineering/Analytical tools.
+ Shows willingness to adapt to changes in technology and processes.
**Skills and competencies**
+ Proficient in **PySpark** and **Python** with strong experience in data processing, data manipulation and analysis
+ Working knowledge of **SQL** for querying and managing structured data
+ Experience with building and deploying data engineering solutions using **Git** (for version control and collaborative development)
+ Solid problem-solving skills and the ability to think critically and creatively to tackle complex business challenges
+ Solid **communication** and **presentation** skills to convey complex concepts to technical and non-technical stakeholders
+ Understanding of CI/CD practices, including the Software Development Life Cycle (SDLC).
+ Basic understanding of the Domino platform is a plus
+ Familiarity with AWS/AZURE/GCP services (like API gateway, Cloud Formation, lambda, IAM etc) is a plus
+ Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment
**Experience**
+ We welcome a bachelor's or master's in a relevant field such as Computer Science, or a related discipline.
+ Proven experience (typically 1 to 3 years) in any Engineering role preferably in IT/Pharma Industry
+ Have a strong commitment to a career in technology with a passion for healthcare
+ Experience or understanding in Agile methodology.
+ Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies.
+ Demonstrated ability to develop and implement ETL/ELT pipelines
+ Experience working with healthcare data, clinical trials, or related domains is preferable
+ Understanding of the biopharma industry, including regulatory requirements and healthcare data sources is a plus.
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :01:00.064 UTC
**Location:** Hyderabad-IN
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
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Lead Data & Analytics Engineer

Bangalore, Karnataka Vontier

Posted 2 days ago

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Job Description

We are looking for a hands-on Lead Engineer who will lead the design and implementation of our modern data AI & analytics platforms. You will be working with and be a part of a engineering and DevOps team to delivering highly-scalable, event-driven, serverless solutions in Snowflake, AWS and Azure. While you will not build machine-learning models yourself, you will be responsible for delivering ML-ready and AI read features and real-time data services that power them.
**Key responsibilities**
- Architect and develop serverless, event-driven data pipelines (batch & streaming).
- Design and implement robust Snowflake data warehouses and data lake integrations across AWS and Azure.
- Build automated data-feature preparation layers to support AI, ML inference & training workloads.
- Establish and champion modern SDLC practices, including trunk-based development, automated testing, peer review and CI/CD.
- Define and enforce data quality, observability and lineage standards.
- Collaborate with data scientists and product teams to translate feature requirements into performant data products.
- Mentor engineers through design sessions, code reviews and pair programming (no direct people management).
- 8+ years total software / data engineering experience, 3+ years in a lead or principal IC capacity.
- Proven delivery of production-grade, event-driven, architectures (AWS Lambda, Azure Functions, Step Functions, EventBridge, etc.).
- Expert-level Snowflake skills (Snowpipe, Snowpark, performance tuning, RBAC).
- Deep hands-on experience with AWS (S3, Glue, Kinesis, IAM) and Azure (ADF, Event Hubs, Functions).
- Strong SQL, Python, Node.js and JavaScript experience .
- Demonstrated knowledge of Data preprocessing and Feature Engineering .AI Deployment and Integration
- Track record automating data workflows and infrastructure
- Fluency in modern CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps, or similar).
**Preferred / nice to have**
- Streamlit application development and dashboarding experience.
- Familiarity with BI tools such as Power BI, Tableau or Looker.
- Data governance frameworks (e.g., GDPR, HIPAA, SOC-2).
Vontier (NYSE: VNT) is a global industrial technology company uniting productivity, automation and multi-energy technologies to meet the needs of a rapidly evolving, more connected mobility ecosystem. Leveraging leading market positions, decades of domain expertise and unparalleled portfolio breadth, Vontier enables the way the world moves - delivering smart, safe and sustainable solutions to our customers and the planet. Vontier has a culture of continuous improvement and innovation built upon the foundation of the Vontier Business System and embraced by colleagues worldwide. Additional information about Vontier is available on the Company's website at .
**At Vontier, we empower you to steer your career in the direction of success with a dynamic, innovative, and inclusive environment.**
Our commitment to personal growth, work-life balance, and collaboration fuels a culture where your contributions drive meaningful change. We provide the roadmap for continuous learning, allowing creativity to flourish and ideas to accelerate into impactful solutions that contribute to a sustainable future.
Join our community of passionate people who work together to navigate challenges and seize opportunities. At Vontier, you are not on this journey alone-we are dedicated to equipping you with the tools and support needed to fuel your innovation, lead with impact, and thrive both personally and professionally.
**Together, let's enable the way the world moves!**
The company in which you have expressed employment interest is a subsidiary or affiliate of Vontier Corporation. The subsidiary or affiliate is referred to as a Vontier Company. Vontier Corporation and all Vontier Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, ancestry, sex (including pregnancy, childbirth and related medical conditions), age, marital status, disability, veteran status, citizenship status, sexual orientation, gender identity or expression, and other characteristics protected by law. The "EEO is the Law" poster is available at: Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call or e-mail to request accommodation.
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AI & Data Analytics Engineer

Bangalore Urban district, Karnataka Amphenol

Posted 1 day ago

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Overview

We are seeking a highly motivated Data Analytics & Transformation Analyst to join our Internal Audit department. This role will play a critical part in modernizing and streamlining our testing processes through automation, artificial intelligence (AI) , advanced analytics, and innovative coding solutions. The Analyst will collaborate with auditors and stakeholders to design, develop, and implement automated and AI-driven testing frameworks that enhance efficiency, accuracy, and insight in our audit practices.



Key Responsibilities


  • Automation & AI Development: Design, build, and maintain automated and AI-enhanced testing solutions to support audit activities, streamline manual processes, and increase data-driven insights.
  • Coding, Scripting & AI Integration: Develop, document, and maintain scripts and tools (e.g., Python, SQL, R, or similar languages), incorporating machine learning and natural language processing (NLP) models for anomaly detection, predictive analytics, and intelligent audit sampling.
  • Data Transformation, Analytics & AI Modeling: Extract, transform, and analyze large datasets using advanced analytics and AI techniques to identify anomalies, trends, and potential risk indicators.
  • Testing Optimization: Partner with internal auditors to understand testing objectives and translate them into automated and intelligent approaches that improve efficiency, accuracy, and reliability.
  • Tool & Process Innovation: Research and recommend emerging technologies, including AI, generative AI, and machine learning frameworks, that can be applied to audit testing and continuous monitoring.
  • Collaboration: Work closely with Internal Audit team members and cross-functional stakeholders to ensure AI-enhanced solutions meet business requirements and align with audit objectives.
  • Documentation & Training : Prepare clear documentation of automated and AI-driven testing processes and provide training/support to the audit team on the use of automation and AI tools.


Qualifications:

Experience and Skills:

  • Bachelor’s Degree in data Analytics, Computer Science, Information Systems, Accounting Information Systems, or a related field.
  • Hands-on coding experience with languages such as Python, R, SQL, or similar.
  • Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience integrating machine learning models into business workflows.
  • Understanding of AI ethics , model validation, and bias detection.
  • Experience with data manipulation, automation frameworks, and analytics tools.
  • Strong understanding of data integrity, data quality, and transformation processes.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills to explain technical concepts to non-technical stakeholders.

Desirable Skills:

  • Experience in internal audit, risk management, or compliance functions.
  • Experience using generative AI tools (e.g., ChatGPT, GitHub Copilot) for process documentation, analysis, and code generation.
  • Familiarity with audit testing methodologies or audit management software.
  • Familiarity with audit testing methodologies or AI-assisted audit analytics .
  • Experience with data visualization tools (Power BI, Tableau, Qlik, etc.).
  • Exposure to ETL tools, APIs, or cloud-based data platforms.
  • Knowledge of process mining , continuous auditing, and AI-based risk detection.

Soft Skills:

  • Effective collaboration and communication skills, with a proven ability to work with interdisciplinary teams.
  • Strategic thinker with a proactive approach to fraud risk assessment and process optimization.
  • Commitment to upholding data integrity, confidentiality, and ethical standards in all forensic and data-driven activities.


Travel:

  • Between 25%-50% travel is required


Amphenol Corporation is an equal opportunity employer and we encourage applications from all qualified candidates.

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Lead Sports Analytics Engineer

570001 Mysore, Karnataka ₹70000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client is looking for a Lead Sports Analytics Engineer to join their innovative, fully remote team. In this exciting role, you will be at the forefront of leveraging data to enhance athletic performance and strategic decision-making in the sports industry. You will lead projects, mentor junior analysts, and develop cutting-edge analytical models. Your expertise will directly impact team strategies, player development, and fan engagement. The ideal candidate possesses a strong background in sports science, data engineering, and advanced statistical analysis, coupled with a proven ability to thrive in a remote work environment. You will be responsible for collecting, processing, and analyzing vast datasets from various sports metrics, including performance indicators, biomechanical data, and scouting reports. Developing predictive models for player performance, injury risk assessment, and game outcome prediction will be a core part of your duties. Collaboration with coaches, trainers, and management teams, both remotely and through virtual meetings, will be essential to translate complex data insights into actionable strategies. This role demands a deep understanding of sports principles, excellent programming skills (e.g., Python, R), and proficiency with data visualization tools. You will also contribute to the development of proprietary analytics platforms and ensure data integrity and security. We are seeking a creative thinker with a passion for sports and a dedication to pushing the boundaries of sports science through data. The ability to communicate technical findings clearly and concisely to non-technical stakeholders is paramount. This is a unique opportunity to shape the future of sports analytics from the comfort of your home office, contributing significantly to our client's success in the competitive sports landscape.
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Lead Sports Analytics Engineer

226001 Lucknow, Uttar Pradesh ₹2000000 Annually WhatJobs

Posted 20 days ago

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full-time
Our client is a forward-thinking organization in the leisure and sports sector, seeking a highly skilled Lead Sports Analytics Engineer to spearhead their data-driven performance initiatives. This is a fully remote position, allowing you to work from your preferred location. You will be responsible for designing, developing, and implementing advanced analytical models and data infrastructure to extract actionable insights from sports performance data. The ideal candidate possesses a strong background in data engineering, statistical modeling, and sports science, with a passion for leveraging technology to optimize athlete performance, game strategies, and fan engagement. You will work closely with coaches, athletes, and performance staff to translate complex data into practical recommendations, driving strategic decisions at the highest level. This role demands a blend of technical expertise, analytical prowess, and effective communication.

Key Responsibilities:
  • Design, build, and maintain robust data pipelines and analytical frameworks for sports performance data.
  • Develop and implement sophisticated statistical models and machine learning algorithms to analyze player performance, injury risk, and team dynamics.
  • Collaborate with sports scientists, coaches, and athletes to understand their data needs and provide actionable insights.
  • Create compelling data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
  • Identify and evaluate new technologies and methodologies to enhance sports analytics capabilities.
  • Ensure data integrity, accuracy, and security across all analytical platforms.
  • Lead and mentor a team of data analysts and engineers.
  • Stay current with advancements in sports science, data analytics, and relevant technologies.
  • Contribute to the development of data-informed strategies for athlete development and competitive advantage.
  • Champion the use of data analytics throughout the organization.

Qualifications:
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, Sports Science, or a related quantitative field.
  • Minimum of 7 years of experience in data engineering, advanced analytics, or a similar role, with a significant portion focused on sports analytics.
  • Proven expertise in programming languages such as Python or R, and database technologies (SQL, NoSQL).
  • Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Deep understanding of sports biomechanics, performance metrics, and relevant data sources.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong leadership and communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Experience in working remotely and managing distributed teams is a plus.
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Business Intelligence Engineer, DSP Analytics

Hyderabad, Andhra Pradesh Amazon

Posted 2 days ago

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Description
Do you enjoy diving deep into data, building data models and developing business metrics to generate actionable insights? Are you looking for an opportunity to define end to end analytics roadmap, work with cross functional teams and leverage cutting edge modern technologies and cloud solutions to develop analytics products. DSP Analytics team has an exciting opportunity for a Business Intelligence Engineer (BIE) to improve Amazon's Delivery Service Partner (DSP) program through impactful data solutions.
The goal of Amazon's DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.
We are looking for an innovative, highly-motivated and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams, product managers, program managers and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall DSP performance and delivery quality. The business coverage is broad, and you will identify and prioritize what matters most for the business, quantify what is (or is not) working, invent and simplify the current process and develop self-serve data and reporting solutions.
You should have excellent business and communication skills to be able to work with business owners to define roadmap, develop milestones, define key business questions, and build data-sets that answers those questions. The ideal candidate should have hands-on SQL and scripting language experience and excel in designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications.
Key job responsibilities
- Lead the design, implementation, and delivery of BI solutions for the Worldwide DSP Performance solutions and Network Health.
- Manage and execute entire projects from start to finish including stakeholder management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.
- Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools.
- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.
- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
- Retrieve and analyze data using a broad set of Amazon's data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.
- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by leveraging technology.
- Work closely with business stakeholders and senior leadership team to review roadmap and contributing to business strategy and how they can leverage analytics for success.
About the team
We are the core Amazon DSP BI team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.
Per the internal transfers guidelines, please reach out to the hiring manager for an informational through the "Request Informational" button on the job page.
Basic Qualifications
- 10+ years of professional or military experience
- 7+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Business Intelligence Advisor

Pune, Maharashtra NTT America, Inc.

Posted 1 day ago

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Job Description

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Business Intelligence Advisor to join our team in Pune, Mahārāshtra (IN-MH), India (IN).
The Business Intelligence Advisor will utilize analytical, statistical, and programming skills to collect, analyze, and interpret large volume data sets and use this information to develop data-driven solutions for addressing difficult business challenges. Monitor, analyze and report business performance, financial results and other KPIs defined by business.
**Responsibilities**
+ Analyze spending patterns, identify cost-savings opportunities, and provide actionable insights to improve decision making.
+ Collaborate with cross-functional teams, interpret data trends, and develop dashboards or reports to communicate findings.
+ Understand user requirements, translate complex data into user-friendly reports ensuring data accuracy.
+ Create visually compelling and insightful reports, interactive dashboards connecting Tableau or Power BI to SQL and Snowflake.
+ Lead or participate in multiple analytical projects or ad-hoc analysis by completing and updating project documentation, managing project scope, adjusting schedules when necessary, determining daily priorities, ensuring efficient and on-time delivery of project tasks and milestones.
+ Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
+ Apply statistical techniques and advanced analytical methods to solve business problems.
+ Utilize Python libraries such as Pandas, NumPy, Matplotlib for data analysis, visualization, and modeling.
+ Automate data processing and analysis workflows using Python.
+ Perform Spend analysis by gathering, cleansing, classifying, transforming procurement spend data, providing spend visibility, to facilitate category and spend management.
+ Data enrichment/gap fill, standardization, normalization, and categorization of Spend data via research through different sources like internet, specific websites, database etc.
+ Data quality check and correction, process, clean, and verify the integrity of data used for analysis.
+ Stay updated on industry trends and optimize BI tools for efficient performance.
+ Write optimized SQL & Snowflake queries for data extraction as well as integration with other applications.
+ Design workflows in Alteryx Designer to develop models using data modeling techniques as per requirements.
+ Create automated anomaly detection systems and constant tracking of its performance.
+ Create and maintain the documentation of the architecture, data models and maintenance activities.
+ Continuous process improvement and efficiency gain using automation or any other process standardization techniques.
**Technical Skills & Competencies**
+ Must have experience working on business analytics or spend analytics projects as well as handling day-to-day operational requests from the business.
+ Ability to successfully manage multiple tasks at any given point, strong relationship building skills & communication skills.
+ High proficiency with Microsoft Excel.
+ Visualization capabilities Power BI / Tableau.
+ Knowledge about Alteryx Designer tool and Snowflake is preferred.
+ Experience in requirements gathering and analysis and defining the implementation roadmap.
+ Ability to work remotely with key stakeholders and business partners.
+ Preferred to have skills of Project coordination & management.
+ Self-motivated with a high degree of learning agility and a team player.
**Experience & Education**
+ Bachelor's degree in information science, Computer Science, Mathematics, Statistics, or a quantitative discipline in science. Advanced degree preferred.
+ Minimum 10-15 years of work experience in the fields of data management and analysis.
+ At least 5 years of work experience in procurement data management, spend analysis, RFP/RPQ/quote analysis.
+ Demonstrated experience with data architecture, data integration/ETL, data warehousing, and/or business intelligence deployed in a complex environment.
+ Demonstrated experience in Python programming for data manipulation, analysis, and visualization.
+ Prior experience working on Reporting/Visualization Tools such as Power BI, Tableau.
+ Must have excellent presentation & communication (written and verbal) skills.
+ Good research and logical skills. Strong data collection, consolidation, and cleansing skills.
+ Ability to scope, plan and execute assigned projects in a fast-paced environment.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
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