2,723 Analytics Engineer jobs in India
Business Intelligence Analytics Engineer
Posted 3 days ago
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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
Posted today
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Who is this for
If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critial business challenges using core concept of analytics, critical thinking.
We are seeking a skilled Analytics Engineer who has worked in a Retail/D2C domain. The ideal candidate will possess a strong blend of functional and technical expertise, particularly in Google Analytics, Google Ads, Facebook Ads, Amazon Ads. Good understanding of the entire D2C / E-Commerce marketing value chain.
The Analytics Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions. The ideal candidate has a strong background in data engineering, analytics, and a keen eye for detail.
Key Responsibilities:
Stake Holder Management & Collaboration ( 10 % ) :-
- Work with data scientists, analysts, and stakeholders to understand data needs.
- Analyze and interpret data to identify trends, opportunities, and areas for improvement.
- Analyse business needs of stakeholders and customers.
- Gather Customer requirements via workshop questionnaires, surveys, site visit, Workflow storyboards, use cases and scenario mappings.
- Translate Business Requirements into functional requirements
- Create extensive project scope documentations to keep project and client teams on the same page.
- Collaborate with cross-functional teams to integrate analytics insights into the client’s operational processes.
Data Modeling ( 50% ) :
- Develop and maintain data models to support analytics and reporting.
- Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics
- Collaborate with business stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs
- Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards
Data Quality Management & Governance(20%) :
- Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data
- Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences
- Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data
- Provide training and support to team members on data quality best practices and validation procedures
Project and Team Management (20%) :
- Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards
- Coordinate cross-functional project teams including data engineers, analysts, and business stakeholders to achieve project objectives
- Develop detailed project plans, resource allocation strategies, and risk mitigation plans for analytics initiatives
- Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies
- Facilitate project status meetings, manage deliverable timelines, and communicate progress updates to senior leadership and clients
- Establish and maintain project documentation standards, including technical specifications, testing protocols, and deployment procedures
- Identify and resolve project bottlenecks, resource constraints, and technical challenges to ensure successful project completion
- Drive continuous improvement initiatives within the team by implementing agile methodologies and optimizing workflow processes
Key Qualifications
- Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- Experience: 2+ years of experience in analytics.
Technical Skills:
- Proficiency in SQL and database technologies
- Core expertise with dbt (data build tool).
- Experience with data pipeline tools (e.g., Apache Airflow).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud).
- Knowledge of Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Key Responsibilities:
- Data Pipeline Development: Design, build, and maintain scalable ETL processes.
- Data Modeling: Develop and maintain data models to support analytics and reporting.
- Collaboration: Work with data scientists, analysts, and stakeholders to understand data needs.
- Data Quality: Implement data quality checks and ensure data accuracy.
Analytics Engineer
Posted today
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Job Description
Your specific responsibilities will include:
- Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices
- Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
- Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for
- Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models
- Develop analytical data products for reusability, governance and compliance by design
- Align with organization strategy and implement semantic layer for analytics data products
- Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks
Education:
- B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field
Required experience:
- 3+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets)
- High proficiency in SQL, Python and AWS
- Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer
- Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders
- Experience with including feature engineering
- Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.)
- Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku)
- Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders
- Experience in analytics use cases of pharmaceutical products and vaccines
- Experience in market analytics and related use cases
Preferred experience:
- Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines
- Experience with Agile ways of working, leading or working as part of scrum teams
- Certifications in AWS and/or modern data technologies
- Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors
- Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders
- Experience with data visualization technologies (e.g, PowerBI)
Skills Required
Cloud, Sql, Python, Aws, Data Modeling
Analytics Engineer
Posted today
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We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier Data First commercial biopharma organization.
As a Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space - to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery.
Your specific responsibilities will include:
- Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices
- Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
- Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for
- Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models
- Develop analytical data products for reusability, governance and compliance by design
- Align with organization strategy and implement semantic layer for analytics data products
- Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks
Education:
- B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field
Required experience:
- 3+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets)
- High proficiency in SQL, Python and AWS
- Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer
- Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders
- Experience with including feature engineering
- Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.)
- Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku)
- Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders
- Experience in analytics use cases of pharmaceutical products and vaccines
- Experience in market analytics and related use cases
Preferred experience:
- Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines
- Experience with Agile ways of working, leading or working as part of scrum teams
- Certifications in AWS and/or modern data technologies
- Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors
- Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders
- Experience with data visualization technologies (e.g, PowerBI)
Skills Required
Cloud, Data Modeling, Sql, Python, Aws
Analytics Engineer
Posted today
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Updraft. Helping you make changes that pay off.
Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day to day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans.
- A 360 degree spending view across all your financial accounts (using Open banking)
- A free credit report with tips and guidance to help improve your credit score
- Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores
- Intelligent lending products to help reduce cost of credit
We have built scale and are getting well recognised in the UK fintech ecosystem.
- 800k+ users of the mobile app that has helped users swap c £500 m of costly credit-card debt for smarter credit, putting hundreds of thousands on a path to better financial health
- The product is highly rated by our customers. We are rated 4.8 on Trustpilot, 4.8 on the Play Store, and 4.4 on the iOS Store
- We are selected for Technation Future Fifty 2025 - a program that recognizes and supports successful and innovative scaleups to IPOs - 30% of UK unicorns have come out of this program.
- Updraft once again featured on the Sifted 100 UK startups - among only 25 companies to have made the list over both years 2024 and 2025
We are looking for exceptional talent to join us on our next stage of growth with a compelling proposition - purpose you can feel, impact you can measure, and ownership you'll actually hold. Expect a hybrid, London-hub culture where cross-functional squads tackle real-world problems with cutting-edge tech; generous learning budgets and wellness benefits; and the freedom to experiment, ship, and see your work reflected in customers' financial freedom. At Updraft, you'll help build a fairer credit system.
Role and Responsibilities
- Join our Analytics team to deliver cutting edge solutions.
- Support business and operation teams on making better data driven decisions by ingesting new data sources, creating intuitive dashboards and producing data insights
- Build new data processing workflows to extract data from core systems for analytic products
- Maintain and improve existing data processing workflows.
- Contribute to optimizing and maintaining the production data pipelines, including system and process improvements
- Contribute to the development of analytical products and dashboards with integration of internal and third-party data sources/ APIs
- Contribute to cataloguing and documentation of data
Requirements
- Bachelor’s degree in mathematics, statistics, computer science or related field
- 2-5 years experience working in data engineering/analyst and related fields
- Advanced analytical framework and experience relating data insight with business problems and creating appropriate dashboards
- Mandatory required high proficiency in ETL, SQL and database management
- Experience with AWS services like Glue, Athena, Redshift, Lambda, S3
- Python programming experience using data libraries like pandas and numpy etc
- Interest in machine learning, logistic regression and emerging solutions for data analytics
- You are comfortable working without direct supervision on outcomes that have a direct impact on the business
- You are curious about the data and have a desire to ask "why?"
Good to have but not mandatory required:
- Experience in startup or fintech will be considered a great advantage
- Awareness or Hands-on experience with ML-AI implementation or ML-Ops
- Certification in AWS foundation
Benefits
- Opportunities to Take Ownership – Work on high-impact projects with real autonomy.
- Fast Career Growth – Gain exposure to multiple business areas and advance quickly.
- Be at the Forefront of Innovation – Work on cutting-edge technologies or disruptive ideas.
- Collaborative & Flat Hierarchy – Work closely with leadership and have a real voice.
- Dynamic, Fast-Paced Environment – No two days are the same; challenge yourself every day.
- A Mission-Driven Company – Be part of something that makes a difference
Analytics Engineer
Posted today
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Job Description
Mid-Senior Analytics Engineer (dbt, Airflow, Snowflake, AWS)
Sydney (preferred) | Open to Melbourne
Permanent Role | Hybrid (2 days WFO, 3 days WFH)
$150,000 + super + excellent shares & benefits
About the Role:
Join a fast-growing, product-led scale-up reshaping the consumer experience in the wellness space. With a major product launch ahead and multiple new data sources coming online, they’re looking for a Mid-Senior Analytics Engineer to take their modern data stack to the next level.
You’ll work closely with the Staff Data Engineer and Analytics team, designing clean, reliable transformation flows in dbt that empower analysts to answer business questions with confidence. This is a hands-on role where you’ll be building out orchestration, CI/CD, and validation strategies while scaling pipelines for production use.
What you’ll be doing:
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Designing, optimising, and scaling data pipelines in Airflow , orchestrating ingestion and dbt transformations in production.
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Structuring dbt projects and layers (staging, intermediate, marts) to ensure clarity, reusability, and business alignment.
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Embedding validation checks at key points in the DAG to monitor data quality and reliability.
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Building data models in Snowflake + dbt to support marketing, growth, subscription, customer, and demographic analytics.
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Writing SQL and Python to deliver production-ready transformations, optimisations, and automation.
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Collaborating with Product, Analytics, and Engineering teams to ensure data is both technically robust and business-relevant.
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Contributing to CI/CD and deployment strategies , making sure pipelines are tested, versioned, and easily scalable.
We’re looking for:
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Proven experience as an Analytics Engineer or Data Engineer, ideally in a high-growth environment.
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Hands-on expertise with dbt, Airflow, Snowflake, SQL, and Python .
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Ability to design pipelines using software engineering best practices (testing, version control, automation).
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Understanding of data quality validation frameworks and how to embed them in orchestration.
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Strong communication skills – able to bridge technical detail with business outcomes.
Perks and benefits
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Annual learning and development budget
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Up to 18 weeks paid parental leave top-up
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Work from anywhere for up to 8 weeks each year
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Hybrid-friendly (2 days in office) and pet-friendly offices
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Wellbeing and fitness tools/subscriptions included
Interested? Apply now or message Ailbhe on Linkedin if you’re keen to know more!
Analytics Engineer
Posted today
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Job Summary:
We are seeking an Analytics Engineer who will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. This role involves implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise.
How You’ll Make an Impact (key responsibilities of role)
AI & Machine Learning Development
3D Data Processing & Computer Vision
Research & Innovation
Software Development & Integration
Collaboration & Mentorship
What You Bring (required qualifications and skills)
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Senior Associate-Business intelligence & Data Warehousing
Posted today
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Key Deliverables:
- Develop and automate daily, weekly, and ad hoc dashboards using SQL, Python, and BI tools
- Transform legacy reports into intelligent visualizations using Tableau and Power BI
- Build and maintain data pipelines across Hadoop, Teradata, and Big Data environments
- Ensure timely and high-quality reporting to support business functions
Role Responsibilities:
- Collaborate with stakeholders to understand reporting needs and deliver effective solutions
- Lead report automation and troubleshooting using Python or Alteryx
- Document reporting processes and maintain logs of risks, changes, and fixes
- Apply logical reasoning and analytics best practices to enhance data visibility
Skills Required
Advanced Sql, Python, Tableau, Alteryx, Hadoop
Capacity Analytics Engineer
Posted 2 days ago
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Job Description
A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive
**Your role and responsibilities**
Experience planning, implementing, coordinating large IT/Cloud projects.
Excellent negotiation skills.
Proven experience in infrastructure, cloud or capacity management.
Experience in liaising with internal and stakeholders such as business owners, project personnel, vendors, and end-users regarding project requirements and project progress.
Having Technical understanding /background.
Strong Communication (Spoken/Listening/Written)
Experience planning, implementing, coordinating large IT/Cloud projects.
**Required technical and professional expertise**
Proven track record of successfully managing large project teams. (preferably IT/Cloud).
Minimum of 2-4 years of experience in technical project management.
Strong understanding of IT infrastructure, security, and project management methodologies.
Familiarity with ITIL framework.
Exceptional negotiation, communication, and presentation skills
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
CX Analytics Engineer
Posted 3 days ago
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Job Description
**Key Responsibilities**
+ Design, build, and maintain scalable data pipelines to collect and analyze customer interaction data across digital and offline channels.
+ Develop and maintain dashboards and reports to monitor key CX metrics such as NPS, CSAT, CES, and churn.
+ Collaborate with CX, product, and marketing teams to identify friction points and opportunities in the customer journey.
+ Conduct A/B testing and cohort analysis to evaluate the impact of CX initiatives.
+ Integrate data from CRM, call center, survey, and web analytics platforms to create a unified customer view.
+ Work with cross-functional teams including operations, IT, and customer support
+ Participate in testing and validating analytics solutions
+ Document processes, data flows, and technical specifications
+ Present insights and recommendations to stakeholders and senior leadership.
**Qualifications**
+ 3+ years of experience in data engineering, analytics, or a related field with a focus on customer experience.
+ Proficiency in SQL and Python; experience with dbt, Airflow, or similar tools is a plus.
+ Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).
+ Familiarity with CX platforms and CRMs, such as Genesys Cloud, NICE, Qualtrics, Salesforce, and ServiceNow.
+ Experience working with cloud data platforms (AWS, or Azure).
+ Strong communication and documentation skills
**Preferred Qualifications**
+ Experience in SaaS, or CX product environments.
+ Knowledge of customer journey mapping and operational analytics.
+ Knowledge of **Python** , **R** , or **DAX** for data manipulation and analysis
+ Curiosity and a passion for improving customer experience through data
+ Excellent communication and storytelling skills with the ability to translate data into business insights.
+ Background in statistics or machine learning is a plus.
Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form ( . Complete the form and then email it as an attachment to . You may also click here to access Conduent's ADAAA Accommodation Policy ( .