data scientist

data analyst

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data analyst, risk

analyst - data quality

data analyst hadoop

Tata Consultancy Servicess

<div>
 
 
 Job Title:
 
 Data Analyst (Hadoop)
 
 
 📍
 
 Location:
 
 Hyderabad
 
 
 💼
 
 Experience:
 
 3&ndash;8 Years
 
 
 
 
 
 We are looking for a
 
 Data Analyst
 
 with expertise in
 
 Hadoop
 
 to join our team in Hyderabad. The ideal candidate should have strong analytical skills and experience working with large datasets to generate insights and support business decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets using Hadoop and related tools.
 </li>
 <li>
 Develop dashboards, reports, and visualizations to present insights.
 </li>
 <li>
 Collaborate with business stakeholders to understand requirements and deliver data-driven solutions.
 </li>
 <li>
 Perform data validation, quality checks, and ensure accuracy of analysis.
 </li>
 <li>
 Support data migration and transformation activities.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 3&ndash;8 years of experience in data analysis or data engineering.
 </li>
 <li>
 Strong knowledge of
 
 Hadoop ecosystem
 
 (Hive, Pig, HDFS, MapReduce, Spark preferred).
 </li>
 <li>
 Proficiency in SQL and data visualization tools (Tableau/Power BI).
 </li>
 <li>
 Good understanding of data warehousing and BI concepts.
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re passionate about turning data into insights and want to work on cutting-edge big data projects, let&rsquo;s connect!
 
</div>

Data Analyst (Hadoop)

UNP Consultancy & Training PVT. LTD.

<div>
 
 
 Job Title:
 
 Data Scientist (PhD)
 
 
 
 Location:
 
 Hyderabad, Telangana
 
 
 
 Employment Type:
 
 Full-Time / Permanent
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a highly skilled
 
 Data Scientist with a PhD
 
 in Computer Science, Statistics, Mathematics, Data Science, or a related field to join our team. The ideal candidate will bring advanced research, analytical, and problem-solving skills to design and implement data-driven solutions that drive strategic business decisions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and develop advanced machine learning and statistical models to solve complex business challenges.
 </li>
 <li>
 Conduct in-depth research and experimentation to innovate and improve data science methodologies.
 </li>
 <li>
 Collect, clean, and analyze large, structured and unstructured datasets to extract actionable insights.
 </li>
 <li>
 Collaborate with cross-functional teams (Engineering, Product, Business) to integrate models into production systems.
 </li>
 <li>
 Perform hypothesis testing, predictive modeling, and optimization to support strategic initiatives.
 </li>
 <li>
 Publish internal technical reports and, where appropriate, contribute to research papers/patents.
 </li>
 <li>
 Stay updated with the latest research trends in AI/ML, deep learning, NLP, and data analytics.
 </li>
 <li>
 Mentor junior data scientists and provide thought leadership within the team.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 PhD
 
 in Computer Science, Statistics, Applied Mathematics, Data Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 Proven experience in applying machine learning, deep learning, and statistical techniques to real-world problems.
 </li>
 <li>
 Strong programming skills in Python, R, or similar languages, with expertise in libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
 </li>
 <li>
 Proficiency in SQL and working with large-scale data platforms (Hadoop, Spark, or similar).
 </li>
 <li>
 Strong background in mathematics, probability, linear algebra, and optimization.
 </li>
 <li>
 Experience with research publication or contribution to open-source projects is a plus.
 </li>
 <li>
 Excellent communication and presentation skills to explain complex technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience working with cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Exposure to natural language processing (NLP), computer vision, or reinforcement learning.
 </li>
 <li>
 Strong domain expertise in [Healthcare, Finance, Retail, etc. &ndash; customize as per your industry].
 </li>
 <li>
 Track record of academic publications or patents in AI/ML/Data Science.
 </li>
 </ul>
 
 
</div>

Data Scientist

Novartis India

<div>
 
 Summary
 
 
 
 The incumbent act as a data analyst supporting multiple use cases, digital lighthouse projects as part of DLC teams collaborating closely with business, data strategy teams and IT
 
 
 The incumbent would be expected to demonstrate good business domain understanding, ability to articulate user requirements, understand system-specific data flows, perform statistical analysis to identify challenges / solutions, and thereby help prepare data specification &amp; user requirement documents to propose appropriate solutions &amp; their feasibility to business.
 
 
 The incumbent would be expected to analyze and assess all components of a problem and have excellent skill to communicate.
 
 
 2-4 years of experience in a Global company as a data analyst, business analyst or business requirement analyst
 
 
 Domain expertise in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
 
 
 
 About The Role
 
 
 
 
 Data Analyst
 
 
 
 
 Location &ndash;
 
 Hyderabad Hybrid
 
 
 
 
 About The Role:
 
 
 
 
 Data Analyst needs to support multiple data centric activities such as data engineering, data quality, data analytics other data management activities by working closely with business, data strategy teams and IT.  Work under the guidance of Data Manager in agile team to build the data solutions using approved tech stack and should be able to support the ongoing engagements with Novartis business teams.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Creating and maintaining the sanity of the Master Data (e.g., Customer, Products etc.)
 </li>
 <li>
 Supporting consolidation/ harmonization of data (master and transactional data). Support setting up business rules for creating and maintaining master data
 </li>
 <li>
 Querying, analyzing, and profiling various datasets
 </li>
 <li>
 Supporting data migration activities by validating business data and maintaining data pipelines
 </li>
 <li>
 Ensure the data quality and process governance.
 </li>
 <li>
 Help build &amp; implement data quality checks and KPI reporting. Closely work along with Business partner &amp; liaising with IT for resolving issues
 </li>
 <li>
 Ensuring processes documentation in form of SOP&rsquo;s, QC list &amp; Process flows diagrams.
 
 
 </li>
 </ul>
 
 
 Essential Requirements:
 
 
 
 
 <ul>
 <li>
 Education: Bachelors/ Masters in computer sciences/ IT or other quantitative sciences
 </li>
 <li>
 2-4 years&rsquo; experience in a Global company as data steward, data analyst, data engineer or business analyst
 </li>
 <li>
 Bring deep business understanding of pharmaceutical industry and data standards with domain experience in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales
 </li>
 <li>
 Hands-on experience in Master Data Management (MDM), Data Stewardship and Data Quality
 </li>
 <li>
 Hands-on experience of ETL and programming/scripting skills (SQL, Alteryx, Databricks &amp; Dataiku) for data preparation and analysis. Understanding of data modeling (conceptual, logical, and physical)
 
 
 </li>
 </ul>
 
 
 Desirable Requirements:
 
 
 
 
 <ul>
 <li>
 Proficient with MS office (especially MS Excel). Adept with Agile ways of working. Excellent communication and presentation skills with business stakeholder engagement experience
 </li>
 <li>
 Experience in gathering and documenting business requirements
 
 
 </li>
 </ul>
 
 Why Novartis:
 
 Our purpose is to reimagine medicine to improve and extend people&rsquo;s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 You&rsquo;ll receive:
 
 You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards
 
 
 
 
 Commitment To Diversity And Inclusion:
 
 
 
 
 Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
 
 
 
 Join our Novartis Network:
 
 If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network.
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Data Analyst

PepsiCo

<div>
 
 Overview
 
 
 
 This position will be part of the GBS organization supporting Frito Lay North America business retail customer team. The TPM analyst is critical to maintain promotions backend data both on internal systems and external systems. The analyst will be also responsible to process promotion invoices and sharing new item information with the retailer teams. The analyst will be working with the Lead analyst who will channel work on various work groups mentioned above or outside of it. The analyst role is business impacting and time bound; accuracy and timeliness of completion of tasks is critical for the PC team&rsquo;s success in turn the sales teams&rsquo;. The TPM analyst will be expected to work on transformation initiatives of their respective processes and bring in their learnings to streamling, automate and effectively lay down processes with the Lead analyst support.
 
 
 
 Responsibilities
 
 
 
 Functional Responsibilities
 
 
 <ul>
 <li>
 Associate TPM analysts work with the Lead analyst to pick up format / region responsibilities.
 </li>
 <li>
 Ensure delivering below work tasks adhering to SLAs and OLAs.
 </li>
 <li>
 Promo data ingestion in Pepsico internal systems and customer external portals for trade planning, demand planning.
 </li>
 <li>
 Contract management which is an agreement between retailer and Pepsico to be managed end to end for upcoming promotions.
 </li>
 <li>
 Update TPM events , Deal sheets and New item maintenance based on promotions discussion with retailers and price changes.
 </li>
 <li>
 Processing and reconciliations of Payments/Deduction invoices and monitor approvals from Stakeholders and its timeliness
 </li>
 <li>
 Invoice analysis, breakdown by segmentation and ensure timely closure of tactics post payments and manage trade Spend in respective accounts.
 </li>
 <li>
 Communicate Risks and Opportunities to Sales team /Control/Finance.
 </li>
 <li>
 Validate Tactic pricing with Pricing Grids for any discrepancy in accruals and invoice
 </li>
 <li>
 Payments and funding tracking for vendors
 </li>
 <li>
 Manage expectations through verbal and written interactions with internal teams that includes sales, Finance and Control
 </li>
 <li>
 Ensure delivery of accurate and timely payment data in accordance with agreed service level agreements (SLA)
 </li>
 <li>
 Implement continued improvements and simplifications of processes, standardization of reporting and optimal use of technology (Automation)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3-5 years of experience in Operations Finance/Sales (for L4)
 </li>
 <li>
 Bachelor&rsquo;s in commerce/business administration/marketing or Finance, Master&rsquo;s degree is a plus
 </li>
 <li>
 Prior Fast Moving Consumer Goods (FMCG) company experience preferred
 </li>
 <li>
 Analytical Skills: Good data skills and ability work through large data sets
 </li>
 <li>
 Communication: Strong communication skills and collaboration skills
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Excellent organisation and prioritisation skills
 </li>
 <li>
 Proactive, responsive and results driven
 </li>
 <li>
 Highly proficient in Microsoft Office especially Excel and PowerPoint
 </li>
 </ul>
</div>

Assistant Manager : Sales

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.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
 </li>
 <li>
 Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
 </li>
 <li>
 Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
 </li>
 <li>
 Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 
 Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 3+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Good working knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work hours:
 
 
 
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer II [T500-20274]

Omnicom Media Group

<div>
 
 Skill: Cm360, Prisma, Ad Servers, GAM, Advanced Excel, Google ads.
 
 
 Location: Hyderabad, Chennai, Coimbatore, Bangalore.
 
 
 Experience: 4 to 8 Years.
 
 
 
 
 
 
 
 
 We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom&rsquo;s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world&rsquo;s creative best.
 
 
 Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data &amp; analytics), Market Research, Business Support Services, Media Services, Consulting &amp; Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients&rsquo; pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together.
 
 
 
 
 
 
 This is an exciting role and would entail you to :
 
 
 
 
 
 <ul>
 <li>
 Finalize consideration sets, help Analyst/Sr. Analyst to craft RFPs and work with the team to review all proposals from publishers/vendors
 </li>
 <li>
 Lead and oversee Analyst/Sr. Analyst to ensure campaign readiness to launch, campaigns are executed with excellence and plans stay within approved budget
 </li>
 <li>
 Keep abreast of industry trends and assist in knowledge sharing across the team and agency
 </li>
 <li>
 Lead the creation of POVs where necessary of new opportunities and/or vendor updates along with the Manager
 </li>
 <li>
 Assist in reconciliation of discrepant billing issues
 </li>
 <li>
 Serve as an escalation point for Analyst/Senior Analyst to help troubleshoot operational issues
 </li>
 <li>
 Lead by example while developing, motivating, and coaching the Analyst /Senior Analyst.
 </li>
 </ul>
 
 
 
 
 
 This may be the right role for you if you have:
 
 
 
 
 
 <ul>
 <li>
 6 to 9 years of experience in digital campaign management and managing a team
 </li>
 <li>
 Excellent verbal and written communication skills
 </li>
 <li>
 Detail-oriented with exceptional critical thinking and problem-solving abilities
 </li>
 <li>
 Proficiency with Microsoft Excel, Word, and PowerPoint
 </li>
 <li>
 Proficiency with Prisma and 3rd party ad servers
 </li>
 <li>
 Ability to multi-task, work successfully with teams, and work under pressure
 </li>
 <li>
 Excellent time management skills
 </li>
 <li>
 Strong leadership.
 </li>
 </ul>
 
 
</div>

Marketing Specialist

MassMutual India

<div>
 
 You'll be an integral part of our esteemed Corporate Technology Team, comprised of 6 stacks: Investments, Finance, Risk &amp; Law, HR &amp; Employee Experience (EE), Data Engineering &amp; Analytics and Portfolio, and Strategy. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Analyst, you will lead the charge in extracting value from data by facilitating the creation of high-quality data solutions that drive decision-making and operational efficiency. You&rsquo;ll use your skills to provide subject matter expertise and complete in-depth data analysis, which contributes to the strategic efforts of the team. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed.
 
 
 
 
 
 
 The Impact:
 
 
 <ul>
 <li>
 &bull; Analyze data related to Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing to generate actionable insights.
 </li>
 <li>
 &bull; Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation.
 </li>
 <li>
 &bull; Partner with Business Analysts, Architects and Data engineers to validate datasets, optimize queries and perform reconciliation.
 </li>
 <li>
 &bull; Support the design and delivery of Investment data and reporting solutions, including data pipelines, reporting dashboards.
 </li>
 <li>
 &bull; Collaborate with Data Engineers, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals.
 </li>
 <li>
 &bull; Manage and oversee investment data, ensuring its accuracy, consistency, and completeness.
 </li>
 </ul>
 
 
 
 
 
 The Minimum Qualifications
 
 
 
 Education: Bachelor&rsquo;s or Master&rsquo;s degree in Finance, Computer Science, Information Systems or related field. Experience:
 
 
 &bull; 7-9 years of experience as a Data Analyst or similar role supporting data analytics projects. &bull; 5+ years of Mastery in SQL.
 
 
 &bull; 5+ years of experience in financial services, insurance, or related industry.
 
 
 &bull; Experience with data manipulation using Python.
 
 
 &bull; Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing.
 
 
 &bull; Investment Operations exposure - Critical Data Elements (CDE), data traps and other data recons. &bull; Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses.
 
 
 &bull; Experience with BI tools like Power BI, MicroStrategy, Tableau.
 
 
 &bull; Excellent communication, problem-solving, and stakeholder management skills.
 
 
 &bull; Experience in Agile/Scrum and working with cross-functional delivery teams.
 
 
 &bull; Proficiency in financial reporting tools (e.g., Power BI, Tableau).
 
 
 
 
 
 The Ideal Qualifications Technical Skills:
 
 
 &bull; Familiarity with regulatory requirements and compliance standards in the investment management industry.
 
 
 &bull; Ability to lead cross-functional teams and manage complex projects.
 
 
 &bull; Hands-on experience with IBOR&rsquo;s such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart.
 
 
 &bull; Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.
 
 
 &bull; Experience with cloud data platforms like Snowflake and Databricks.
 
 
 &bull; Background in data governance, metadata management, and data lineage frameworks.
 
</div>

Data Analyst - Investment Management

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