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data & applied scientist ii

data analyst

data analyst, legal analytics Jobs in Mangaluru

data analyst, legal analytics

data science analyst

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Role And The Team
 
 
 
 eBay&rsquo;s
 
 India Analytics Center
 
 is a vital hub within our global analytics organization, bringing together a team of 75+ talented business analysts, data scientists, and machine learning engineers. We partner across key business areas &mdash; including Customer Service, Finance, Category Management, Seller Experience, Shipping &amp; Logistics, and Monetization &mdash; to deliver data-driven insights that shape eBay&rsquo;s strategy and customer experience.
 
 
 We&rsquo;re looking for a
 
 Data Science Analyst
 
 to join our
 
 Customer Service Science
 
 team, with deep expertise in
 
 Large Language Models (LLMs)
 
 and
 
 natural language understanding (NLU)
 
 . In this role, you&rsquo;ll help evolve
 
 Nexus
 
 , our intelligent AI-powered system that analyzes, summarizes, and surfaces customer pain points from massive volumes of unstructured data &mdash; spanning eBay&rsquo;s listing posts, customer support conversations, surveys, and social media feedback.
 
 
 As part of this team, you&rsquo;ll play a key role in transforming how eBay listens to and acts on customer feedback. You&rsquo;ll work at the intersection of
 
 AI research, data science, and business intelligence
 
 , collaborating closely with product managers, UX researchers, engineers, and analysts. You&rsquo;ll design and deploy models that turn qualitative feedback into actionable insights and integrate seamlessly with a
 
 JavaScript-based front end
 
 that empowers business and product stakeholders to explore and act on customer sentiment in real time.
 
 
 
 What You Will Accomplish
 
 
 
 <ul>
 <li>
 Modeling &amp; NLP Development
 </li>
 <ul>
 <li>
 Design LLM-based pipelines (e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.
 </li>
 <li>
 Develop summarization, clustering, and topic modeling approaches to group recurring themes across markets and product lines.
 </li>
 <li>
 Apply prompt engineering, retrieval-augmented generation (RAG), and embedding search to improve model accuracy and relevance.
 </li>
 <li>
 Use machine learning methods in concert with LLM.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Data Engineering &amp; Processing
 </li>
 <ul>
 <li>
 Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).
 </li>
 <li>
 Ensure data quality, scalability, and compliance with internal governance and data privacy policies.
 </li>
 <li>
 Productionize models and integrate outputs with downstream systems and dashboards.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Insights Delivery &amp; Visualization
 </li>
 <ul>
 <li>
 Design and build interactive visualizations (in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.
 </li>
 <li>
 Partner with Insights teams to create data stories and presentations that influence business strategy using clear, human-readable summaries of complex findings.
 
 </li>
 </ul>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Ability to derive insight from data, visualize it appropriately and influence others to drive outcomes
 </li>
 <li>
 MSc or PhD in Computer Science, Data Science, Statistics, or a related field.
 </li>
 <li>
 4+ years of experience in machine learning, NLP, or data-driven product development.
 </li>
 <li>
 Strong coding proficiency in Python (Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.)
 </li>
 <li>
 Strong experience with front end development with JavaScript and data visualization libraries (e.g. D3.js)
 </li>
 <li>
 Experience deploying and managing machine learning services in containerized environments using Docker and Kubernetes.
 </li>
 <li>
 Deep understanding of vector databases, semantic search, and embedding-based retrieval systems.
 </li>
 <li>
 Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows).
 </li>
 <li>
 Proven experience working with large-scale unstructured text data.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Science Analyst

Annalect India

<div>
 
 Location: Hyderabad, Chennai, Bangalore, Coimbatore
 
 
 
 
 
 Experience: 7-8 years
 
 
 
 
 
 Overview:
 
 
 
 
 
 We are an integral part of Omnicom Group, one of the largest media and advertising agencies 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.
 
 
 
 
 
 Omnicom Global Solutions 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 Solutions, Consulting &amp; Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together.
 
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Managing day-to-day technical relationships with top-tier ad agencies, brands, and media partners
 </li>
 <li>
 Prepping, launching, and maintaining technical aspects of all campaigns
 </li>
 <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>
 
 
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 A full-time graduate degree (Mandatory)
 </li>
 <li>
 7 to 8 years of experience in digital campaign management and team supervision
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Attention to detail coupled with exceptional critical thinking and problem-solving skills
 </li>
 <li>
 Proficiency in Microsoft Excel, Word, and PowerPoint
 </li>
 <li>
 Familiarity with Prisma and third-party ad servers (e.g., CM 360, Adform, Flashtalking, etc.)
 </li>
 <li>
 Capability to multi-task, collaborate effectively with teams, and perform under pressure
 </li>
 <li>
 Outstanding time management skills
 </li>
 <li>
 Strong leadership abilities.
 </li>
 </ul>
 
 
</div>

Ad operations - Associate Manager

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

IQVIA India

<div>
 
 
 Project Role:
 
 Digital Media Data Delivery - Data Analyst
 
 ,
 
 (Healthcare Marketing)
 
 
 
 Work Experience:
 
 2+ years
 
 
 
 Work location
 
 : Bangalore
 
 
 
 Mode of work:
 
 Remote
 
 
 
 Work Timings:
 
 4:30 PM &ndash; 1:30 AM (India Standard Time
 
 
 
 
 
 
 About the Job
 
 
 
 Join IQVIA&rsquo;s Digital Media Data Delivery team as a Data Analyst, Healthcare Marketing and help shape the future of digital healthcare engagement. In this role, you&rsquo;ll be instrumental in building and delivering consumer modeled audiences powered by IQVIA&rsquo;s industry-leading health data and advanced analytics&mdash;enabling precise targeting and impactful marketing campaigns across top advertising platforms.
 
 
 As part of our global team, you&rsquo;ll thrive in a fast-paced, collaborative environment where innovative thinkers work together to deliver solutions that drive customer success. You&rsquo;ll have the opportunity to apply your analytical skills and creativity to develop products and services that empower healthcare marketers to reach, engage, and measure audiences more effectively.
 
 
 If you&rsquo;re passionate about data, digital marketing, and making a difference in healthcare, IQVIA offers a dynamic workplace where your contributions help create a healthier world.
 
 
 
 
 
 
 Summary of Essential Job Functions
 
 
 <ul>
 <li>
 Collaborating with Digital Media Data Delivery, IQVIA Product, Applied AI Science and Data Science teams
 </li>
 <li>
 Maintain and proactively update project tracking tools
 </li>
 <li>
 Execute the consumer modeled audience build process from start to finish, following established workflows and checkpoints
 </li>
 <li>
 Use product tools to generate audience builds, manage file transfers, update documentation, and maintain project trackers daily
 </li>
 <li>
 Prioritize multiple builds and consistently meet deadlines in a fast-paced environment.
 </li>
 <li>
 Perform rigorous quality checks and implement quality assurance measures throughout the audience build process.
 </li>
 <li>
 Advanced Excel skills, including pivot tables and VLOOKUP
 </li>
 <li>
 Demonstrate excellent quantitative and analytical abilities to support data-driven decision-making.
 </li>
 <li>
 Demonstrates the ability to rapidly acquire new skills and knowledge, proactively identifying and resolving challenges with effective problem-solving strategies
 </li>
 <li>
 Assist in maintaining and updating internal operations documentation and standard operating procedures.
 </li>
 <li>
 Exhibit strong adaptability and independent learning ability while managing multiple priorities with accuracy - responding efficiently to urgent requests, applying critical thinking to ad-hoc needs, working with new tools and platforms, and maintaining a high level of attention to detail to support consistent project delivery.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required
 </li>
 <li>
 2+ years of relevant experience; pharmaceutical or healthcare background strongly preferred
 </li>
 </ul>
 
 
 
 
 
 Relevant Skills
 
 
 <ul>
 <li>
 Exceptionally organized, with extreme attention to detail and excellent communication skills
 </li>
 <li>
 Proven ability to learn quickly and solve problems effectively
 </li>
 <li>
 Advanced Microsoft Excel skills
 </li>
 <li>
 Proven ability to organize and prioritize tasks in a dynamic environment
 </li>
 <li>
 Excellent interpersonal skills and ability to collaborate across teams
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 General knowledge of digital advertising is helpful, but not required
 </li>
 <li>
 Experience with Health Information Management or other healthcare billing/coding (e.g. ICD-10, CPT/HCPCS and NDC coding structures)
 </li>
 <li>
 Familiarity with healthcare/pharma terminology
 </li>
 <li>
 Strong qualitative and quantitative research capabilities
 </li>
 </ul>
 
 
</div>

Digital Media Data Analyst (Healthcare Marketing )

AstraZeneca

<div>
 
 Title: Associate - Data Analyst
 
 
 
 <ul>
 <li>
 Work Location: Manyata Tech Park, Bangalore, India
 </li>
 <li>
 Work Schedule: Three days on-site, two days remote (3/2)
 </li>
 <li>
 Work Hours: 9 am to 6 pm IST or 2 pm to 11 pm IST basis business needs (Transport available as per company policy)
 </li>
 <li>
 Career Level: C2 - Individual Contributor
 
 
 </li>
 </ul>
 
 Role Summary
 
 
 
 As an Associate Data Analyst, you will be at the forefront of driving operational excellence and technical proficiency in data management for the US BBU. You will facilitate effective communication and streamline issue resolution. This involves translating complex business needs into actionable data solutions that enhance decision-making and operational efficiency.
 
 
 Your expertise in data management will be key in guiding the development and deployment of innovative data products. You'll leverage your analytical skills to provide insightful analyses that influence business strategy. By fostering a collaborative environment, you'll work closely with cross-functional teams to implement user-centric design approaches and agile methodologies, ensuring data products meet the evolving needs of the business. Your proactive approach will help the organization stay at the cutting edge of industry trends and best practices.
 
 
 Your ability to interpret complex data and deliver clear, actionable insights will establish you as a valuable partner in driving business transformation. By embedding a strategic mindset and fostering stakeholder engagement, you'll ensure the data products not only meet but exceed user expectations.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Provide operational and technical support for US BBU data management activities &ndash; data quality management, business process workflows and data management needs for downstream applications and tools.
 </li>
 <li>
 Provide appropriate operational troubleshoot and triaging related to data processing, business user queries, data investigation and ad-hoc analytics
 </li>
 <li>
 Perform data validation, reconciliation, and basic ad-hoc analyses to support business teams.
 </li>
 <li>
 Act as a liaison between Commercial/Medical stakeholders and IT for escalations and issue resolution.
 </li>
 <li>
 Assist in managing access, user roles, and updates across platforms like Sharp.
 
 
 </li>
 </ul>
 
 Essential For The Role
 
 
 
 <ul>
 <li>
 Quantitative bachelor&rsquo;s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science.
 </li>
 <li>
 Proficient in PBI, PowerApps [development &amp; troubleshooting], SQL, Python, Databricks, and AWS S3 operations.
 </li>
 <li>
 Strong understanding of data governance, privacy standards, and operational best practices.
 </li>
 <li>
 Excellent communication and influencing skills with demonstrated ability to develop and effectively
 </li>
 <li>
 Experience working in a business support or operational data management environment.
 </li>
 <li>
 Define and document detailed user stories, acceptance criteria, and non-functional requirements for the data products.
 </li>
 <li>
 Advocate for a user-centric design approach, ensuring that the data products are intuitive, accessible, and meet the needs of the target users.
 </li>
 <li>
 Collaborate with the development team to plan and execute agile sprints, ensuring timely delivery of high-quality features.
 </li>
 <li>
 Present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
 </li>
 <li>
 Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
 </li>
 <li>
 Exposure &amp; Understanding (any 7): ELAAD, APLD, HCP Segmentation, Targeting (Call plan), Alignment, SFO Structuring &amp; Sizing, HCP Campaign - Digital Promotion &amp; Measurement, Xponant data (sales data - Rx data), HCP Specialty Management Data, (DDD MD), Call Activity, Fingertip/Formulary (Plan PBM lives data)
 
 
 </li>
 </ul>
 
 Desirable To Have (any 3)
 
 
 
 <ul>
 <li>
 Knowledge of AZ brand and Science
 </li>
 <li>
 Experience of working with multiple 3rd party providers, including information technology partners
 </li>
 <li>
 Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team
 </li>
 <li>
 Understanding of US BBU commercial and medical business functions
 </li>
 <li>
 Experience with Sharp [Internal AZ platform] administration, Power Apps development or troubleshooting.
 
 
 </li>
 </ul>
 When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 
 
 AstraZeneca offers an environment where diverse cultures and perspectives come together to create a sense of belonging. Here you'll find opportunities to learn and grow alongside a team committed to transforming processes through simplification and automation. Our innovative approach ensures that data is at the heart of everything we do. As part of our journey of growth and evolution, you'll contribute to making AstraZeneca more agile and efficient while impacting society positively.
 
 
 Ready to take the next step? Apply now to join our dynamic team!
 
 
 
 Date Posted
 
 
 
 03-Dec-2025
 
 
 
 Closing Date
 
 
 
 09-Dec-2025
 
 
 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
</div>

Associate - Data Analyst

<div>
 
 
 About FM:
 
 
 
 FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.
 
 
 FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country&rsquo;s talented workforce and advance their capabilities to serve their clients better.
 
 
 
 
 
 
 Role Title: Senior Business Analyst
 
 
 
 
 Position Summary:
 
 
 
 The Senior Business Analyst is responsible for the collection, evaluation, understanding, and communication of business requirements involved in the development of new or the modification and ongoing support of existing enterprise business applications. This position is the second of four levels within the Business Analysis job family.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Participates in system requirements definition, testing, training, implementation, and support of enterprise wide business applications.
 </li>
 <li>
 Solicits business requirements through interviews, workshops, and/or existing system documentation or procedures. Uses industry standard analysis techniques to uncover business requirements, such as data flow modeling, use-case analysis, and workflow analysis.
 </li>
 <li>
 Documents the results of analysis activities using the appropriate templates and tools.
 </li>
 <li>
 Makes recommendations regarding necessary changes on deliverables expected from other groups.
 </li>
 <li>
 Works with other development groups to ensure an integrated business solution.
 </li>
 <li>
 Assumes the responsibility of project manager for projects that are limited in scope and are, generally, modifications to an existing application.
 </li>
 <li>
 Demonstrates a clear understanding of FM&rsquo;s business and business processes.
 </li>
 </ul>
 
 
 
 
 
 Skill and Experience:
 
 
 <ul>
 <li>
 3-5 years of Experience Required to Perform Essential Job Functions
 </li>
 </ul>
 
 
 
 
 
 Additional Experience Qualifier (optional):
 
 
 <ul>
 <li>
 4+ years of general business analysis experience.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL KNOWLEDGE:
 
 
 <ul>
 <li>
 Strong knowledge of techniques and tools utilized in functional design, data analysis, and data flow diagramming.
 </li>
 <li>
 Knowledge of FM's current/planned technological environment and the appropriate technologies, tools, and techniques used to solve business problems.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS
 
 
 <ul>
 <li>
 Experience gathering requirements, functional design, and working with business processes.
 </li>
 <li>
 Proven ability to work in technical environments that use tools involved in data flow diagramming, data analysis, issue tracking, and documentation and presentation.
 </li>
 </ul>
 
 
 
 
 
 SOFT SKILLS
 
 
 <ul>
 <li>
 Proven ability to multitask and establish priorities.
 </li>
 <li>
 Excellent interpersonal, oral/written communication and organizational skills.
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Communication, collaboration, and analytical skills with experience in business process modeling and data analysis
 </li>
 <li>
 Document and manage requirements throughout the product lifecycle using Agile methodologies
 </li>
 <li>
 Cross-functional teaming across all organizational levels
 </li>
 <li>
 Problem-solving mindset with a willingness to learn, experiment, and adapt
 </li>
 <li>
 Intermediate proficiency in Excel and PowerPoint for analysis and presentations
 </li>
 </ul>
 
 
 
 
 
 Education and Certifications:
 
 
 <ul>
 <li>
 Bachelor degree required. MBA preferred.
 </li>
 </ul>
 
 
 Work location:
 
 Bengaluru
 
</div>

Senior Business Analyst [T500-19310]

Waters Corporation

<div>
 
 Overview
 
 
 
 We are seeking a highly analytical and business-savvy
 
 HR Data Analyst
 
 to join our HR Data Intelligence and Governance team. This role will leverage data science techniques to support talent acquisition, employee engagement, retention, diversity and inclusion, workforce planning, and performance management. The ideal candidate is a strong communicator with a passion for data-driven decision-making in the HR domain.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and deploy metrics in addition to predictive models to solve HR problems (e.g., attrition prediction, talent sourcing, compensation modeling).
 </li>
 <li>
 Conduct exploratory data analysis and generate actionable insights on workforce trends.
 </li>
 <li>
 Partner with HRBPs, talent acquisition, Talant development and other groups across HR to develop dashboards, reports, and data visualizations.
 </li>
 <li>
 Work with large, complex datasets from various HR systems
 </li>
 <li>
 Align with the HR data governance team to ensure consistent metric definition
 </li>
 <li>
 Translate complex data insights into clear recommendations for non-technical stakeholders.
 </li>
 <li>
 Ensure data integrity, privacy, and compliance with GDPR and other relevant regulations.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Required
 </li>
 <ul>
 <li>
 B.A. or B.S degree
 </li>
 <li>
 5-7 years industry experience in reporting and analytics
 </li>
 <li>
 Attention to detail and follow-through
 </li>
 <li>
 Possess a personable and confident manner with good communication and presentation skills
 </li>
 <li>
 Ability to build strong relationships with stakeholders
 </li>
 <li>
 Experience working with human resources data, reporting, and analytics
 </li>
 <li>
 Experience working with large volumes of data and testing data flow across multiple systems
 </li>
 <li>
 Ability to document complex business and technical processes
 </li>
 <li>
 Experience with key software development processes such as requirements, sprint planning, testing, and change management
 </li>
 <li>
 Ability to collaborate with data analysts, software engineers, business partners and other stakeholders
 </li>
 <li>
 Experience with agile methodology and project management
 </li>
 <li>
 Strong critical thinking, problem solving and data analysis skills
 </li>
 <li>
 Aptitude to learn new software and data solutions
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 Preferred
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 Familiarity with SAP SuccessFactors or equivalent systems
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 Prior experience as an application Product Manager or Product Owner
 
 
 
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 Company Description
 
 
 
 Waters Corporation (NYSE:WAT) is a global leader in analytical instruments, separations technologies, and software, serving the life, materials, food, and environmental sciences for over 65 years. Our Company helps ensure the efficacy of medicines, the safety of food and the purity of water, and the quality and sustainability of products used every day. In over 100 countries, our 7,600+ passionate employees collaborate with customers in laboratories, manufacturing sites, and hospitals to accelerate the benefits of pioneering science .
 
 
 Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.
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HR Data Analyst

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