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data analyst - product initiatives Jobs in Hyderabad

data analyst - product initiatives

data analyst 3

data analytics specialist

<div>
 Requisition Id : 1637229
 
 
 Role:
 
 
 The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
 
 
 Roles &amp; Responsibilities:
 
 
 Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
 
 
 Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
 
 
 Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
 
 
 Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
 
 
 Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
 
 
 Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
 
 
 Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
 
 
 Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
 
 
 Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
 
 
 Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
</div>

Data Engineer, Specialist

Aditi India

<div>
 
 
 
 
 Summary:
 
 
 
 
 Typical day role will have data quality judgements, data extraction, updating data using tools, periodically creating updates by running tools, given the guidelines.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Apply knowledge and experience to create processes and methods for curating data depending on the kind of Segment, Entity and its attributes
 
 
 </li>
 <li>
 
 
 Apply business logic for comparing data feeds in a multi-partner environment, algorithmically
 
 
 </li>
 <li>
 
 
 Always focus on improving precision levels of a given feed effectively &amp; efficiently
 
 
 </li>
 <li>
 
 
 Create useful and productive tools in the management of data using any scripting language
 
 
 </li>
 <li>
 
 
 Closely interact with program managers and the engineering teams. Support them with eliminating data quality issues earlier in the lifecycle
 
 
 </li>
 <li>
 
 
 Follow project planning and milestone driven task completion
 
 
 </li>
 <li>
 
 
 Breakdown the tasks to assignable chunks and make sure the team meets the overall timelines
 
 
 </li>
 <li>
 
 
 Timely reporting of status for the team as well as self, as determined by the manager
 
 
 </li>
 <li>
 
 
 Meaningful escalation of issues
 
 
 </li>
 <li>
 
 
 Participating in client calls &amp; Daily scrum
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 
 
 3 to 5 years of experience data analytics. Previous MS experience would be an advantage but not mandatory.
 
 
 </li>
 <li>
 
 
 Candidate performance will be measured on types of challenges handled, people abilities, communication
 
 
 </li>
 <li>
 
 
 Any degree education with relevant skills.
 
 
 </li>
 <li>
 
 
 Proven data analytics experience in similar roles
 
 
 </li>
 <li>
 
 
 Good problem-solving skills
 
 
 </li>
 <li>
 
 
 Working knowledge of MS Excel
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 #AditiIndia
 
 
 
 #
 
 
 25-22132
 
 
 
 &nbsp;
 
</div>

Data Analyst 3

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 We are excited to announce an opening for Supervisor HR Systems at MCC India.
 </li>
 <li>
 Please find below the details of the role and its responsibilities.
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 SAP Successfactor, Successfactor, Configuration, Support, HR Systems
 </li>
 </ul>
 
 
 
 
 
 Experience Range:
 
 
 <ul>
 <li>
 4 - 6 years
 </li>
 </ul>
 
 
 
 
 
 Job Description:
 
 
 
 McDonald&rsquo;s has an exciting opportunity for a Supervisor, HR Systems (Functional Solutions Specialist &ndash; Talent Acquisition (McHire and Enhancements)) role based in our India Global Business Services Office. You will be responsible for developing and managing innovative recruitment policies and programs, overseeing the McHire recruiting platform, and ensuring regulatory compliance. You will partner with the Talent Attraction People Solution Leads, Local Experience Leads, Global Technology, and Operational Delivery Leads.
 
 
 The candidate is expected to reside within India.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 In addition to following McDonald&rsquo;s policies and procedures, principal accountabilities include, but are not limited to:
 
 
 
 
 
 
 Cross-functional Collaboration &amp; Stakeholder Management:
 
 
 <ul>
 <li>
 Work closely with HR partners to design/enhance the McHire recruitment processes to better leverage the HR technology solutions
 </li>
 <li>
 Work closely with the Workforce Analytics team on reporting/analytics needs to develop and enhanced capabilities as needed
 </li>
 </ul>
 
 
 
 
 
 McHire Talent Acquisition Delivery:
 
 
 <ul>
 <li>
 Execute the deployment of innovative recruitment policies and programs in line with company and market standards, to attract top talent and meet McDonald&rsquo;s restaurant recruitment needs
 </li>
 <li>
 Serve as the primary business owner for McHire recruiting platform and liaison with the Functional Solutions team (as needed)
 </li>
 <li>
 Support the delivery of the recruitment solutions strategy
 </li>
 <li>
 Serve as the McHire recruitment system expert, coordinating solutions and tools, transactional and reporting capabilities, interfaces, testing, and any related communications or training support related to that functional capability
 </li>
 </ul>
 
 
 
 
 
 McHire Talent Acquisition System &amp; Process Management:
 
 
 <ul>
 <li>
 Continuously assess the effectiveness of the Restaurant Recruiting Policies and Strategies, as well as the performance of restaurant recruiting platforms and processes to support those strategies
 </li>
 <li>
 Help to identify required McHire platform improvements as necessary
 </li>
 <li>
 Analyze recruitment data and metrics to track the success of the platform and make data-driven decisions for improvement in collaboration with Manager, HR Systems (TA)
 </li>
 <li>
 Ensure compliance needs for Restaurant Recruiting Policies, federal regulatory, and external reporting standards are met
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Degree in Human Resources, Technology, or related field
 </li>
 <li>
 Experience working in Human Resources or HR Systems
 </li>
 <li>
 Experience operating in large, multi-national corporations in a highly matrixed, complex structure
 </li>
 <li>
 Experience working across many countries and cultures
 </li>
 <li>
 Understands the needs and challenges of global leaders
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to interpret data and make informed decisions
 </li>
 <li>
 Knowledge of learning &amp; development trends, regulations, and best practices
 </li>
 <li>
 English Proficiency (written and verbal IRL Level 4)
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 <ul>
 <li>
 SAP Success factor /Workday/Oracle HCM
 </li>
 <li>
 ATS - Paradox /Fountain / Eightfold
 </li>
 <li>
 Recruiting systems (Test &amp; Design)
 </li>
 <li>
 Onboarding systems
 </li>
 <li>
 Career sites expertise
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 HR Systems Expertise &amp; Skills
 </li>
 <li>
 Technical knowledge in HR Systems
 </li>
 <li>
 Excellent analytical, problem-solving, and data analysis skills
 </li>
 <li>
 Ability to write well and communicate effectively across all layers of the organization
 </li>
 <li>
 Knowledge of HR compliance and data privacy regulations
 </li>
 <li>
 Strong business acumen
 </li>
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 Open to learning new systems and processes
 </li>
 <li>
 Exceptional communication (verbal and written) and interpersonal skills
 </li>
 <li>
 Positive attitude and a willingness to learn; self-starter
 </li>
 <li>
 Strong ability to influence others; able to build and drive a strong business case for people as a growth driver
 </li>
 <li>
 Continuous improvement and growth mindset
 </li>
 </ul>
</div>

Supervisor HR Systems [T500-21199]

ValueMomentum

<div>
 
 
 Product Manager / Business Analyst &ndash; U.S. Banking Domain
 
 
 
 
 Experience: 10&ndash;15 Years
 
 
 
 
 Work Location: Hyderabad / Coimbatore
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking an experienced Product Manager / Business Analyst with deep expertise in the U.S. Banking and Financial Services domain to join our technology team. The ideal candidate will bring a strong understanding of core banking systems such as BANCS, Flexcube, Fiserv, or FIS, combined with hands-on exposure to data, analytics, and BI-driven product development within an IT / software organization.
 
 
 
 
 This role will focus on driving digital banking product initiatives, defining functional and data requirements, and partnering with engineering and data teams to deliver scalable technology solutions that enable data-driven decision-making for banking clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as a bridge between business and technology teams, translating banking business requirements into detailed functional and technical specifications.
 </li>
 <li>
 Lead product roadmap discussions, prioritization, and end-to-end delivery for digital and analytics-driven banking solutions.
 </li>
 <li>
 Work closely with engineering, architecture, and data teams to define integration points with core banking platforms (BANCS, Flexcube, Fiserv, FIS).
 </li>
 <li>
 Collaborate with data and analytics teams to define KPIs, dashboards, and performance insights for business growth.
 </li>
 <li>
 Perform detailed business and data analysis, process documentation, and workflow design.
 </li>
 <li>
 Create user stories, acceptance criteria, and wireframes to ensure clarity and alignment during solution design.
 </li>
 <li>
 Contribute to data migration, analytics platform enhancement, and automation initiatives related to banking operations.
 </li>
 <li>
 Support UAT and post-production validation, ensuring product quality and functional accuracy.
 </li>
 <li>
 Track product adoption and drive continuous improvement based on business feedback and outcomes.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 10&ndash;15 years of experience as a Product Manager / Business Analyst in an IT / software organization serving Banking / Financial Services clients.
 </li>
 <li>
 Strong knowledge of U.S. Banking operations, compliance, and digital transformation trends.
 </li>
 <li>
 Hands-on experience with core banking platforms &ndash; BANCS, Flexcube, Fiserv, or FIS.
 </li>
 <li>
 Experience in Business Intelligence, Data Analytics, and Reporting tools (Power BI, Tableau, Qlik, or equivalent).
 </li>
 <li>
 Strong documentation and communication skills with the ability to work effectively with cross-functional global teams.
 </li>
 <li>
 Proven ability to manage multiple stakeholders, prioritize deliverables, and ensure timely execution.
 </li>
 </ul>
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Experience with cloud-based data ecosystems (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to AI/ML-based banking analytics or predictive modeling.
 </li>
 <li>
 Experience in Agile delivery environments.
 </li>
 <li>
 Certifications such as CBAP, CSPO, PMP, or equivalent.
 </li>
 </ul>
 
 
</div>

Product Manager / Business Analyst – U.S. Banking Domain

Microsoft

<div>
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
 
 
 Within Azure Data, the data integration team builds data gravity on the Microsoft Cloud. Massive volumes of data are generated &ndash; not just from transactional systems of record, but also from the world around us.  Our data integration products &ndash; Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
 
 
 We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build cloud scale products with focus on efficiency, reliability and security.
 </li>
 <li>
 Build and maintain end-to-end Build, Test and Deployment pipelines.
 </li>
 <li>
 Deploy and manage massive Hadoop, Spark and other clusters.
 </li>
 <li>
 Contribute to the architecture &amp; design of the products.
 </li>
 <li>
 Triaging issues and implementing solutions to restore service with minimal disruption to the customer and business. Perform root cause analysis, trend analysis and post-mortems.
 </li>
 <li>
 Owning the components and driving them end to end, all the way from gathering requirements, development, testing, deployment to ensuring high quality and availability post deployment.
 
 
 </li>
 </ul>
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline
 </li>
 <li>
 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 <li>
 Experience in data integration or migrations or ELT or ETL tooling.
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
 
 
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 #azdat
 
 
 #azuredata
 
 
 #azdat #azuredata #microsoftfabric #dataintegration
 
 
 #BRAVOFY26
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer II

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

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