data scientist

data analyst (fp&a)

data analyst l4

data engineer

global data scientist

data analyst

Viraaj HR Solutions Private Limited

<div>
 
 Industry &amp; Sector:
 
 IT services &amp; analytics &mdash; delivering data-driven business intelligence and operational analytics solutions for enterprise clients across finance, retail, and technology. Role is on-site in India and focuses on translating transactional data into actionable insights that drive commercial decisions.
 
 
 
 Primary Job Title:
 
 Data Analyst (On-site, India)
 
 
 Role &amp; Responsibilities
 
 
 <ul>
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 Design, write and optimize complex SQL queries to extract, transform and validate data from transactional and analytical databases.
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 Build and maintain automated ETL processes and clean datasets using Python (pandas) and Excel to support recurring reporting needs.
 </li>
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 Create interactive dashboards and executive reports in Power BI and Tableau that surface key metrics, trends and root-cause analysis.
 </li>
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 Perform ad-hoc analysis, A/B testing and statistical summarisation to answer business questions and recommend data-backed actions.
 </li>
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 Implement data-quality checks, monitor KPI health, and document data lineage to ensure accuracy and reproducibility of insights.
 </li>
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 Partner with product, operations and commercial stakeholders to define metrics, translate requirements into analytics deliverables, and present findings to non-technical audiences.
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Proficiency in SQL for analytical queries and data modelling
 </li>
 <li>
 Practical experience with Python (pandas) for data wrangling and automation
 </li>
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 Advanced Excel skills including pivot tables and lookups
 </li>
 <li>
 Experience building dashboards and visual reports in Power BI or Tableau
 </li>
 <li>
 Strong knowledge of data validation, ETL concepts and KPI instrumentation
 </li>
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 Bachelor's degree in a quantitative discipline or equivalent practical analytics experience
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Familiarity with cloud data platforms or modern warehouses (e.g., Snowflake, BigQuery)
 </li>
 <li>
 Experience with BI modelling tools or semantic layers (Looker/Metabase)
 
 
 </li>
 </ul>
 Benefits &amp; Culture Highlights
 
 
 <ul>
 <li>
 Competitive compensation with performance-linked incentives and clear growth path
 </li>
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 Hands-on, collaborative analytics team with mentorship and upskilling support
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 On-site role enabling close cross-functional collaboration and high-impact delivery
 
 
 </li>
 </ul>
 Keywords: Data Analyst, SQL, Python, Power BI, Tableau, ETL, dashboards, analytics, data visualization, business intelligence, on-site India.
 
 
 Skills: sql,excel,python,data visualization,data analyst
</div>

Data analyst

ExpertusONE

<div>
 
 
 Greetings from ExpertusONE!!
 
 
 
 
 
 
 Start your career with the fast growing product based company...
 
 
 
 
 
 
 Company Description:
 
 
 
 
 
 
 ExpertusONE is a leading enterprise learning platform trusted by global organizations like Johnson &amp; Johnson, Siemens, Hitachi, and ABB. The platform's award-winning LMS combines intuitive design and mobile accessibility to address diverse learning and skill development needs for employees, customers, and partners. ExpertusONE integrates seamlessly with tools such as Salesforce, Slack, and Microsoft Teams, and leverages AI to deliver personalized content, interactive training, and actionable insights. Known for its flexibility and innovation, ExpertusONE empowers organizations to optimize workforce performance and engagement.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 We&rsquo;re looking for a
 
 Product Data Analyst
 
 who can do more than just write SQL queries &mdash; someone who can support turning data into decisions and help shape the next wave of AI features in our learning platform.
 
 
 This is a hands-on role that blends
 
 data operations, product insight generation, and AI validation support.
 
 You&rsquo;ll work closely with Product, Engineering, and AI teams to ensure our data is clean, reliable, and ready to power smarter learning experiences.
 
 
 
 
 <ul>
 <li>
 
 Location: Chennai (Work From Office)
 
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 Experience: 4&ndash;8 years
 
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 
 
 
 <ul>
 <li>
 
 Own our data pipelines and analysis:
 
 Write and optimize complex SQL queries to extract and analyze data across multiple systems.
 </li>
 <li>
 
 Enable data-driven decisions:
 
 Build and maintain simple in-house dashboards (using tools like Looker Studio.
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 <li>
 
 Support AI feature development:
 
 </li>
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 Create, label, and curate
 
 test datasets
 
 for model training and validation.
 </li>
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 Conduct
 
 accuracy and quality checks
 
 on model outputs and experiments.
 </li>
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 Collaborate with AI engineers to evaluate data readiness and feature performance.
 </li>
 <li>
 
 Partner with Product teams:
 
 Translate business questions into measurable metrics and provide actionable insights.
 </li>
 <li>
 
 Ensure data hygiene:
 
 Proactively identify inconsistencies, improve data quality, and maintain source-of-truth documentation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You&rsquo;ll Need:
 
 
 
 
 
 <ul>
 <li>
 4&ndash;8 years of hands-on experience as a
 
 Data Analyst
 
 or
 
 BI Analyst
 
 .
 </li>
 <li>
 Strong SQL &amp; data analysis skills &mdash; comfortable with joins, CTEs, window functions, and performance optimization.
 </li>
 <li>
 Experience with at least one dashboarding tool (Metabase, Power BI, Looker, or equivalent).
 </li>
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 Solid understanding of data validation, sampling, and quality checks.
 </li>
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 Curiosity and comfort working with AI/ML product teams (you don&rsquo;t need to code models, but you should understand data&rsquo;s role in them).
 </li>
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 Good communication skills &mdash; you can explain data stories without jargon.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Nice-to-Haves
 
 
 <ul>
 <li>
 Exposure to Python (Pandas, basic scripting).
 </li>
 <li>
 Familiarity with
 
 feature store concepts
 
 , model evaluation metrics, or A/B testing.
 </li>
 <li>
 Prior experience with AI data workflows (labelling, synthetic data creation, validation).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us
 
 
 
 You&rsquo;ll be part of a lean, high-impact team shaping the future of digital learning. This is an opportunity to grow beyond analytics &mdash; into
 
 AI-enabled product development
 
 and
 
 data strategy
 
 .
 
 
 
 
 
 Interested candidates can apply this job post, suitable candidates will be scheduled for the interview.
 
 
 
 
 
 All the very best!!
 
 
 
 
 
 
 Warm Regards,
 
 
 
 
 Kannan Lakshmanan
 
 
 
 
 Manager - HR
 
 
 &nbsp;&nbsp;
 
 
</div>

Product Data Analyst

Tazapay

<div>
 JOB DESCRIPTION: DATA ANALYST (FP&amp;A)
 
 
 Location: Chennai, Bangalore, Delhi
 
 
 
 About Tazapay
 
 
 
 Tazapay is a leading cross-border payments platform, simplifying how businesses conduct global trade. We provide comprehensive payment solutions for collect, hold and payout to empower businesses of all sizes to scale internationally with confidence, without the need to set up local entities or work with multiple payment partners.
 
 
 A single account and integration with Tazapay enables merchants to collect via cards and stablecoins globally, and via local payment methods (like UPI, Pix, PromptPay, etc) and Virtual bank accounts in 70+ markets. Tazapay&rsquo;s platform also enables merchants to manage FX liquidity in 60+ currencies and payout to local bank accounts in 100+ countries.
 
 
 Tazapay is licensed in Singapore and Canada, and is backed by leading global investors such as Peak XV, RTP Global and PayPal.
 
 
 Our mission is to build trust in cross-border commerce by offering a secure, transparent, and efficient payments infrastructure that bridges businesses and customers globally.
 
 
 
 Role Overview
 
 
 
 We are looking for a Data Analyst (Finance) to own the development of financial and business data models that drive decision-making across Tazapay. This is an individual contributor role with project ownership responsibilities &mdash; ideal for someone who wants to build robust, scalable data infrastructure and analytics capabilities within a fast-growing fintech.
 
 
 You will design, build, and maintain data models, ensuring data reliability, transparency, and actionable insights for finance, product, and leadership stakeholders.
 
 
 Key Responsibilities
 
 
 Data Modeling &amp; Infrastructure
 
 
 <ul>
 <li>
 Build and maintain finance and business data marts
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 Translate complex financial and operational logic into well-documented, auditable SQL transformations.
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 Collaborate with FP&amp;A and data engineering teams to ensure model alignment with reporting and forecasting needs.
 </li>
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 Establish data quality checks and automated validation layers to detect anomalies early.
 
 
 
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 </ul>
 Analytics &amp; Reporting
 
 
 <ul>
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 Design and maintain dashboards and reports to monitor product and business performance using Apache Superset, AWS QuickSight, or equivalent BI tools.
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 Conduct deep-dive analyses to uncover drivers of revenue, cost, and margin variance.
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 Own and enhance recurring financial and operational reports used by Finance, Leadership, and Board.
 
 
 
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 </ul>
 Data Governance &amp; Documentation
 
 
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 Document data definitions, business logic, and SQL workflows.
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 Ensure data consistency and reproducibility across datasets and dashboards. Project Ownership
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 Lead small data initiatives end-to-end &mdash; from scoping and prioritization to delivery and stakeholder alignment.
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 Partner cross-functionally to translate business problems into data solutions.
 
 
 
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 </ul>
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors with 4 - 5 years of related work experience
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 Proficiency in SQL, Python, or R for data manipulation.
 </li>
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 Experience with BI tools (e.g. Power BI, Tableau, QuickSight, Superset) for dashboarding.
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 Experience in ETL processes and working with APIs, data warehouses, or cloud platforms (AWS, Snowflake, BigQuery).
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 Ability to work independently, manage multiple tasks, and collaborate cross-functionally.
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 Experience in payments, fintech, or financial services (Good to have).
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 Exposure to finance or accounting concepts (Good to have).
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 </ul>
</div>

DATA ANALYST (FP&A)

NielsenIQ

<div>
 
 Company Description
 
 
 
 NielsenIQ is a consumer intelligence company that delivers the Full View&trade;, the world&rsquo;s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.
 
 
 
 Job Description
 
 
 
 We are seeking a highly analytical and detail-oriented FinOps Data Analyst to join our Cloud Financial Operations team. This role focuses on analyzing cloud cost, usage, and consumption data across multiple platforms to uncover insights that drive cost efficiency, application optimization, and strategic decision-making. The ideal candidate will bridge the gap between finance, engineering, and product teams to ensure cloud investments align with business goals and deliver maximum value.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Analyze and interpret large datasets related to cloud cost, usage, and consumption across AWS, Azure, GCP, or other cloud providers.
 </li>
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 Develop and maintain Power BI dashboards and reports using DAX to monitor cloud spend, usage trends, and anomalies.
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 Perform causality and correlation analysis to understand cost drivers and usage patterns.
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 Identify cloud resource right-sizing and scaling opportunities to optimize performance and cost.
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 Collaborate with application teams to uncover application improvement opportunities based on usage and performance data.
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 Integrate and analyze application reference data and revenue streams to correlate with cloud cost (COGS) and provide actionable insights.
 </li>
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 Support billing profile optimization and recommend changes to pricing models, reservations, and commitments.
 </li>
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 Deliver executive-level reporting and presentations that translate complex data into clear, strategic insights.
 </li>
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 Partner with finance and engineering teams to support forecasting, budgeting, and cost allocation efforts.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Finance, Computer Science, Engineering, or a related field.
 </li>
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 3+ years of experience in data analysis, cloud cost optimization, or FinOps roles.
 </li>
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 Strong understanding of cloud platforms (AWS, Azure, GCP) and their pricing models.
 </li>
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 Proficiency in SQL and Python for data analysis and transformation.
 </li>
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 Advanced skills in Power BI and DAX for building interactive dashboards and performing complex data modeling.
 </li>
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 Familiarity with FinOps principles, cloud billing tools (e.g., AWS Cost Explorer, Azure Cost Management), and tagging strategies.
 </li>
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 Excellent communication skills with the ability to present complex data to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 FinOps Certified Practitioner or similar certification.
 </li>
 <li>
 Experience with COGS modeling and revenue-cost correlation analysis.
 </li>
 <li>
 Knowledge of data warehousing and ETL processes.
 </li>
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 Experience working in Agile or cross-functional teams.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
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 Strong problem-solving and critical thinking abilities.
 </li>
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 Detail-oriented with a passion for data accuracy and integrity.
 </li>
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 Ability to work independently and manage multiple priorities.
 </li>
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 Collaborative mindset with a proactive approach to stakeholder engagement.
 
 
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 </ul>
 
 Our Benefits
 
 
 
 <ul>
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 Flexible working environment
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 Volunteer time off
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 <li>
 LinkedIn Learning
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 Employee-Assistance-Program (EAP)
 
 
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 </ul>
 
 About NIQ
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
</div>

FinOps Data Analyst

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&acirc;&euro;&trade;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp;
 
 
 Experience: 5-8 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Analyst L4

<div>
 Job DescriptionProduct Owner &ndash; C1Employment Type- ;PermanentLocation
 
 
 <ul>
 <li>
 Chennai ;Responsible FunctionsProduct Vision &amp; Strategy: Perform market analysis to understand market landscape including competitor solutions, trends and customer needs to help define and communicate product vision &amp; strategy aligning with company objectivesStakeholder Engagement: Interact with diversified stakeholders to conduct JAD sessions and use variety of techniques to elicit, document, analyze and validate client requirements. Interface with Business team to conduct product demonstrations, evaluate, prioritize and build new features and functions.Requirements Management: Analyze and develop business requirement document (BRD) for client/business reference. Translate Business Requirements to user Stories to create, prioritize in backlog, sprint, DOD and releases using Jira for development consumption. Perform requirements review with external and internal stakeholders and resolve issues while suggesting corrective actions.Functional Solution Development: Responsible for end-to-end functional solution. Analyze the�business problem and validate the key business requirements to create a complete picture of workflows and technical requirements fulfilled by existing and proposed software. Identify, define and evaluate potential product solutions, including off-the-shelf and open-source components, and system architecture to ensure that they meet business requirements.Communication &amp; Collaboration: Act as a liaison between Business user and technical solutions/support groups to ensure proper communication between diversified teams. Collaborate with development team (including architecture, coding &amp; testing teams) to produce/maintain additional product and project deliverables in technical design, testing &amp; program specifications, additional test scenarios and project plan. Proactively manage expectation regarding roadblocks, in the critical path to help ensure successful delivery of the solution.Business Value: Comprehend the fundamental solution being developed/deployed &ndash; its business value &amp; blueprint how it fits with the overall architecture, risks, and more. Drive business metrics that will help optimize business &amp; also deep dive into data for insights as requiredTeam Management: Manage a small team of Business analyst, define clear goals and be accountable for the functional solution delivered by the team. Participate in recruitment and building a strong business analyst team.RFP Support: Participate in Request for information/proposal handling and support with responses &amp; solutions to questions or information requested.Client/Business Training: Work with technical writers to create training material and handle product/platform training sessions with diversified stakeholdersEssential FunctionsMulti-disciplinary technologist who enjoys designing, executing and selling Healthcare solutions, and being on the front-line of client communications and selling strategiesDeep understanding of the US Healthcare value chain and key impact drivers [Payer and/or Provider]Knowledgeable and cognizant of how data management and science is used to solve organizational problems in the healthcare contextHands-on experience in two (or more) areas of the data and analytics technical domains
 </li>
 <li>
 Enterprise cloud data warehousing, integration, preparation, and visualization along with artificial intelligence, machine learning, data science, data modeling, data management, and data governanceStrong problem solving and analytical skills: ability to break down a vague business problem into structured data analysis approaches &amp; ability to work with incomplete information and take judgment-driven decisions based on experience.Experience ramping up analytics programs with new clients, including integrating with work of other teams to ensure analytics approach is aligned with operations as well as engage in consultative sellingPrimary Internal InteractionsReview with the Product Manager &amp; AVP for improvements in the product development lifecycleAssessment meeting with VP &amp; above for additional product development features.Manage a small team of business analyst to lead the requirements effort for product developmentPrimary External InteractionsCommunicate with onshore stakeholder &amp; Executive Team Members.Help the Product Management Group set the product roadmap &amp; help in identifying future sellable ; ; ; product features. ;Client Interactions to better understands expectations &amp; streamline solutions. If required should be a bridge between the client and the technology teams. ;SkillsTechnical SkillsRequired Skills - ;SME in US Healthcare with deep Knowledge on Claims &amp; Payments Lifecycle with at least 8 years of experience working with various US Healthcare Payer clientsSkills Must HaveExcellent understanding of Software Development Life Cycle &amp; Methodologies like Agile Scrum, Waterfall etc.Strong experience in requirements elicitation techniques, functional documentation, stakeholder management, business solutions validation and user walkthroughs.Strong documentation skills to create BRD, FSD, Process Flows, User StoriesStrong presentation skills.Good knowledge of SQL.Knowledge of tools like Jira, Visio, Draw.io etc. ;Skills Nice to HaveDevelopment experience of 2 or more years will be good to haveExperience on Big Data Tools &ndash; not limited to &ndash; Python, Spark + Python, HIVE, HBASE, Sqoop, CouchDB, MongoDB, MS SQL, Cassandra, KafkaKnowledge of Data Analysis Tools ;&ndash; ;(Online analytical processing (OLAP), ETL frameworks)Knowledge of Enterprise modeling tool and data integration platform (Erwin, Embarcadero, Informatica, Talend, SSIS, DataStage, Pentaho)Knowledge of Enterprise business intelligence platform (Tableau, PowerBI, Business Objects, Microstrategy, Cognos)Knowledge of Enterprise data warehousing platform (Oracle, Microsoft, DB2, Snowflake, AWS, Azure, Google Cloud Platform) ; ;Process Specific SkillsDelivery Domain
 </li>
 <li>
 Software Development &ndash; SDLC &amp; Agile CertificationsBusiness Domain - ;US Healthcare &amp; Payer Analytics ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Payment Integrity ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Fraud, Waste &amp; Abuse ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Claims Management ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Soft SkillsUnderstanding of Healthcare business vertical and the business terms withinGood analytical skills.Strong communication skills - oral and writtenAbility to work with various stakeholders across different geographical locationsShould be able to function as an Individual Contributor as well if required.Strong aptitude to learn &amp; implement healthcare solutions.Good Leadership Skills.Working HoursGeneral Shift &ndash; 12PM to 9 PMWill be required to extend as per project release needsEducation RequirementsMaster&rsquo;s or bachelor&rsquo;s degree from top tier colleges with good grades, preferably in a relevant field including Mathematics, Statistics, Computer Science or equivalent experience ;
 </li>
 </ul>
</div>

Manager

Infosys Finacle

<div>
 
 Job Description:
 
 
 
 
 Data Scientist AI / RPA
 
 
 
 <ul>
 <li>
 Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages.
 </li>
 <li>
 Looking for an expert on using data science related packages like sk learn and data manipulation packages like pandas, dask.
 </li>
 <li>
 Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP.
 </li>
 <li>
 Experience in analyzing the problem statements and coming up with different solutions by creating POC.
 </li>
 <li>
 Must have experience in collecting relevant data as per the problem statement and cleansing the data.
 </li>
 <li>
 Basic knowledge of writing sql queries.
 </li>
 <li>
 Must have knowledge on big data concepts like Hadoop and hive.
 </li>
 <li>
 One should have experience ML programming and analytical skills.
 </li>
 </ul>
 
 
</div>

Senior Analyst - Data Science

Explore 44+ Data analyst in Chennai this November. Find roles across top companies and apply now to boost your career.