Explore numerous data analytics job opportunities in 472 Data Analytics jobs in Hyderabad
Data, Analytics,
Posted today
Job Viewed
Job Description
• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business
Data Analytics Engineer
Posted 1 day ago
Job Viewed
Job Description
India
**Location:**
Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India
**Role** - Data Analytics -AI/ML Engineer
**Job Location** - Hyderabad
**Full time/Part Time** - Full Time
**Build a career with confidence**
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
**Job Summary :**
Established professional in Data and Analytic Methods who works to achieve day-to-day objectives with moderate impact on work area. Participates in scientific and mathematical principles to collect data across processes and products. Supports in identifying problems, participates in analyzing opportunities through the use of statistical techniques. Prepares datasets and may communicate results to team.
**About the role**
**Job Description**
+ Lead the design, development, and deployment of machine learning models and algorithms.
+ Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment.
+ Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions.
+ Oversee the data collection, preprocessing, and feature engineering processes.
+ Conduct experiments and iterate on models to improve performance and accuracy.
+ Stay current with the latest research and advancements in AI and machine learning technologies.
+ Develop and implement best practices for code quality, testing, and deployment.
+ Communicate findings and recommendations to stakeholders and technical teams effectively.
**Specific responsibilities for this position will be:**
+ Collect data from IoT platform, perform data quality check and filtering techniques
+ Organize large-scale data to the required formats for data analysis for different service business use cases.
+ Data mining using state-of-the-art methods
+ Selecting features, building and optimizing classifiers using machine learning techniques
+ Enhancing data collection procedures to include information that is relevant for building analytic systems
+ Develop tools of visualization and dashboard to illustrate the data analysis results.
+ Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions.
+ Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.).
+ Take ownership and responsibility of deliverables (might involve little bit of coding as well)
**Required Skills/Education:**
+ Good knowledge of Data science life cycle
+ Hands on experience in developing analytics approaches and solutions
+ Expertise in Python, AI/ML libraries, ML, DL and problem solving
+ Working experience on MLOps on cloud platforms like AWS/Azure.
+ Knowledge of GenAI, LLM project implementation.
+ Master's degree in computer science, Statistics, Math, or Engineering with 10+ years of experience
+ Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus.
**Benefits**
- We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
- Have peace of mind and body with our health insurance
- Make yourself a priority with flexible schedules and leave Policy
- Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
**Our commitment to you**
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.
Join us and make a difference.
**Apply Now!**
**Carrier is An Equal** **Opportunity/Affirmative** **Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.**
**Job Applicant's Privacy Notice:**
Click on this link ( to read the Job Applicant's Privacy Notice
Associate Data Analytics
Posted 1 day ago
Job Viewed
Job Description
A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests.
+ Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity.
+ Complete and implement automation solutions to enhance efficiency and reduce manual effort, leveraging tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint.
+ Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests.
+ Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to deliver actionable insights and drive improvements in execution.
+ Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements.
+ Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity.
+ Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency.
+ Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership.
+ Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives.
+ Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities.
+ Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications.
**Basic Qualifications:**
+ Bachelor's degree and 0 to 3 years of Data Analytics, Computer Science, or a related field of data analysis, automation or business intelligence experience OR
+ Diploma and 4 to 7 years of Data Analytics, Computer Science, or a related field of data analysis, automation or business intelligence experience
**Preferred Qualifications:**
+ Experience with data analytics, reporting tools, and automation solutions.
+ Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau).
+ Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks.
+ Ability to work with large datasets and extract meaningful insights.
+ Proficiency in data analytics and visualization tools
+ Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency.
+ Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics.
+ Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities.
+ Experience working with self-service platforms such as ServiceNow to support business functions and automation.
+ Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems.
+ Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization.
+ Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics.
+ Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts.
+ Demonstrable ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority.
+ Solid attention to detail and ability to manage multiple tasks effectively.
+ Good communication skills, with the ability to communicate insights clearly to leadership and coordinate multi-functional data requests and updates.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
Data Analytics Manager
Posted 1 day ago
Job Viewed
Job Description
**Primary Responsibilities** :
+ Manage daily reporting refresh operations, including resolving outages, user security issues, and data security challenges.
+ Conduct weekly quality control checks on dashboards to ensure data integrity and proper functionality.
+ Develop Tableau dashboards, including creating new ones and enhancing/fixing existing dashboards to meet the needs of our 1,000+ strong user base and senior leaders.
+ Collaborate with the US-based FITRA team to explore and potentially transition from Tableau to Power BI.
+ Support as needed data, reporting, and technology projects aligned with strategic corporate goals.
**Team Management** :
+ Supervise a team of two staff members (one associate and one senior associate).
+ Ensure timely and quality-controlled delivery of work.
**Collaboration** :
+ Partner with US FITRA colleagues and FIT Data + Analytics (FITDA) colleagues to achieve shared objectives.
+ Report directly to the hiring senior manager based in Thousand Oaks, California.
**Required Skills and Qualifications** :
+ Advanced proficiency in Tableau development and Power BI development.
+ Development experience with cloud storage and ETL tools such as Databricks and Prophecy.
+ Working knowledge of Python and SQL.
+ Solid understanding of finance concepts, financial statements and financial data.
+ Effective reporting design sensibility, including an acumen for the different ways to tell a story or present insights in reporting.
+ Skill in managing large and complex datasets.
+ Strong people management and project management skills.
+ Clear, concise verbal and written business communication.
**Additional Preferred Experience** :
+ Familiarity with Oracle Hyperion, Anaplan, SAP S/4 Hana, Workday and JIRA.
+ Ability to work collaboratively with teams and stakeholders outside of FIT, including cross-functionally
+ Experience training both a team you manage and customers who use your reporting/work product
**Education/ Prior Employment Qualifications:**
+ Master's degree & 5 years of finance or analytics development experience
+ Bachelor's degree and 8 years of finance or analytics development experience
+ Diploma and 10 to 12 years of finance or analytics development experience
Data Analytics Engineer
Posted today
Job Viewed
Job Description
About the role
Job Description
Specific responsibilities for this position will be:
Required Skills/Education:
Benefits
• We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules and leave Policy
• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.
Data Analytics & BI
Posted today
Job Viewed
Job Description
• Hands-on experience in Quantitative & Qualitative and Machine Learning Algorithms
• Working knowledge on computer languages like Python, Pyspark, Google Analytics, etc.
• Strong interpersonal skills and evidence of working across teams and geographies to produce timely and accurate output.
• Strong communication and influencing skills required to be successful in this role
Data Analytics Engineer
Posted today
Job Viewed
Job Description
Country:
IndiaLocation:
Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, IndiaRole - Data Analytics -AI/ML Engineer
Job Location – Hyderabad
Full time/Part Time - Full Time
Build a career with confidence
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
Job Summary :
Established professional in Data and Analytic Methods who works to achieve day-to-day objectives with moderate impact on work area. Participates in scientific and mathematical principles to collect data across processes and products. Supports in identifying problems, participates in analyzing opportunities through the use of statistical techniques. Prepares datasets and may communicate results to team.
About the role
Job Description
- Lead the design, development, and deployment of machine learning models and algorithms.
- Manage and mentor a team of data scientists and engineers, fostering a collaborative and innovative environment.
- Collaborate with cross-functional teams to identify business problems and translate them into machine learning solutions.
- Oversee the data collection, preprocessing, and feature engineering processes.
- Conduct experiments and iterate on models to improve performance and accuracy.
- Stay current with the latest research and advancements in AI and machine learning technologies.
- Develop and implement best practices for code quality, testing, and deployment.
- Communicate findings and recommendations to stakeholders and technical teams effectively.
Specific responsibilities for this position will be:
- Collect data from IoT platform, perform data quality check and filtering techniques
- Organize large-scale data to the required formats for data analysis for different service business use cases.
- Data mining using state-of-the-art methods
- Selecting features, building and optimizing classifiers using machine learning techniques
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Develop tools of visualization and dashboard to illustrate the data analysis results.
- Support the development and implementation of end-to-end cloud-based AI/ML and Data Analytics solutions.
- Deploy analytics algorithms to the cloud-based IoT platform (e.g., Microsoft Azure, AWS etc.).
- Take ownership and responsibility of deliverables (might involve little bit of coding as well)
Required Skills/Education:
- Good knowledge of Data science life cycle
- Hands on experience in developing analytics approaches and solutions
- Expertise in Python, AI/ML libraries, ML, DL and problem solving
- Working experience on MLOps on cloud platforms like AWS/Azure.
- Knowledge of GenAI, LLM project implementation.
- Master’s degree in computer science, Statistics, Math, or Engineering with 10+ years of experience
- Ph.D in Thermal, AI/ML/Data Analytics, Statistics, Math, or Engineering is a plus.
Benefits
• We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules and leave Policy
• Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.
Our commitment to you
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.
Join us and make a difference.
Apply Now!
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
Job Applicant's Privacy Notice:
Click on this link to read the Job Applicant's Privacy Notice
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Director - Data Analytics
Posted today
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Job Description
What we are looking for:
Director of Data Analytics at Silicon Labs, who will lead the strategy, governance, and execution of data and analytics initiatives across the enterprise. Reporting to the Chief Information Officer, they will oversee a global team, deliver trusted insights, and support both strategic and day-to-day reporting needs for Sales, Operations, Finance, and other key functions. Their leadership will ensure data quality, integrity, and enable data-driven decision-making at all levels of the organization. The expectation from this role is to come up with the Data strategy for AI readiness with the ROI in mind.
Meet The Team:
Our global Data Analytics team is a high-impact group embedded within the IT organization at Silicon Labs and drives the data strategy across the company. Spanning locations across North America, Europe, and Asia, the team partners cross-functionally with Sales, Marketing, Operations, Finance, Engineering, and HR to deliver trusted, actionable insights. From real-time dashboards to long-term data governance, we enable data-informed decisions that drive business success. We’re a collaborative, technically skilled team that thrives on solving complex data challenges using tools like Azure, SQL, Tableau, and Python—while fostering a culture of mentorship, innovation, and continuous improvement.
Responsibilities:
Lead & Shape Strategy
Drive Data Architecture & Governance
Deliver Business Intelligence & Advanced Analytics
Manage Programs & Ensure Impact
Skills you will need:
Education and/or Experience:
Benefits & Perks:
Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for excellent work/life balance and to make our environment welcoming and fun.
Data Analytics Engineer
Posted today
Job Viewed
Job Description
Working in a challenging, fast-paced environment to create a meaningful impact on your work
Identify business problems & use data analysis to find answers
Code and maintain data platform & reporting analytics
Design, build and maintain data pipelines.
Qualifications
Desire to collaborate with a smart, supportive engineering team
Strong passion for data and willingness to learn new skills
Experience with NoSQL Databases (i.e. DynamoDB, Couchbase, MongoDB)
Experience with Data ETL tools (DBT and AWS Glue)
Expert knowledge in SQL and deep experience managing relational databases such as PostgreSQL
Experience coding in Python, Scala, or R
Strong understanding of how to build a data pipeline
Cloud Data Analytics
Posted today
Job Viewed
Job Description
• Proficient in integrating structured, semi-structured, and unstructured data sources to deliver analytics solutions using Data Warehouse, Data Lake, and Data Hubs
• Proficient in developing and operationalizing various data distribution patterns like, APIs, event-based, pub/sub-models
• Experience in migrating data warehouses from on-premises (Teradata or similar) to cloud (Azure Synapse Analytics or similar)
• Experience in monitoring the performance of data workflows and infrastructure through the use(00 of monitoring tools (Azure Monitor, Informatica, AppDynamics, etc.) and enabling alerts for prompt resolution
• Experience with DevOps toolset (Azure DevOps, Jenkins, Bitbucket, etc.) to collaborate and deploy code
• Knowledge of Big Data Technologies (Hadoop, Spark, etc.)