data analyst

data analyst (fp&a)

data analyst l4

data engineer

global data scientist

data scientist

<div>
 
 Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
 
 
 
 D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
 
 
 
 Fiche De Poste
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Defines key data sources from UPS and external sources to deliver models.
 </li>
 <li>
 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
 </li>
 <li>
 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
 </li>
 <li>
 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
 </li>
 <li>
 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
 </li>
 <li>
 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
 </li>
 <li>
 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
 </li>
 <li>
 Presents operationalized analytic findings and provides recommendations.
 </li>
 <li>
 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
 </li>
 <li>
 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in R, SQL, Python and/or any other high-level languages.
 </li>
 <li>
 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
 </li>
 <li>
 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
 </li>
 <li>
 Experience applying models from small to medium scaled problems.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
 </li>
 <li>
 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
 </li>
 <li>
 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
 </li>
 <li>
 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
 </li>
 <li>
 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
 </li>
 <li>
 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
 </li>
 <li>
 Familiarity with Java or C++ is a plus.
 </li>
 <li>
 Solid oral and written communication skills, especially around analytical concepts and methods.
 </li>
 <li>
 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
 </li>
 <li>
 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
 </li>
 </ul>
 
 Last Day Posted - 2/25/2024
 
 
 
 
 Type De Contrat
 
 
 
 en CDI
 
 
 
 Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.
 
</div>

Data Scientist

Cognizant

<div>
 
 Title: Data Scientist
 
 
 
 
 Location: Chennai
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Be a hands on problem solver with consultative approach, who can apply Machine Learning &amp; Deep Learning algorithms to solve business challenges
 </li>
 <ul>
 <li>
 Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
 </li>
 <li>
 Improve Model accuracy to deliver greater business impact
 </li>
 <li>
 Estimate business impact due to deployment of model
 </li>
 </ul>
 <li>
 Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
 </li>
 <li>
 Working with tools and scripts for sufficiently pre-processing the data &amp; feature engineering for model development &ndash; Python / R / SQL / Cloud data pipelines
 </li>
 <li>
 Design , develop &amp; deploy Deep learning models using Tensorflow / Pytorch
 </li>
 <li>
 Experience in using Deep learning models with text, speech, image and video data
 </li>
 <ul>
 <li>
 Design &amp; Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
 </li>
 <li>
 Design and develop Image recognition &amp; video analysis models using Deep learning algorithms and open source tools like OpenCV
 </li>
 <li>
 Knowledge of State of the art Deep learning algorithms
 </li>
 </ul>
 <li>
 Optimize and tune Deep Learnings model for best possible accuracy
 </li>
 <li>
 Use visualization tools/modules to be able to explore and analyze outcomes &amp; for Model validation eg: using Power BI / Tableau
 </li>
 <li>
 Work with application teams, in deploying models on cloud as a service or on-prem
 </li>
 <ul>
 <li>
 Deployment of models in Test / Control framework for tracking
 </li>
 <li>
 Build CI/CD pipelines for ML model deployment
 </li>
 </ul>
 <li>
 Integrating AI&amp;ML models with other applications using REST APIs and other connector technologies
 </li>
 <li>
 Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
 
 </li>
 </ul>
 
 Technology/Subject Matter Expertise
 
 
 
 <ul>
 <li>
 Sufficient expertise in machine learning, mathematical and statistical sciences
 </li>
 <li>
 Use of versioning &amp; Collaborative tools like Git / Github
 </li>
 <li>
 Good understanding of landscape of AI solutions &ndash; cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
 </li>
 <li>
 Develop prototype level ideas into a solution that can scale to industrial grade strength
 </li>
 <li>
 Ability to quantify &amp; estimate the impact of ML models
 
 
 </li>
 </ul>
 
 Soft Skills Profile
 
 
 
 <ul>
 <li>
 Curiosity to think in fresh and unique ways with the intent of breaking new ground.
 </li>
 <li>
 Must have the ability to share, explain and &ldquo;sell&rdquo; their thoughts, processes, ideas and opinions, even outside their own span of control
 </li>
 <li>
 Ability to think ahead, and anticipate the needs for solving the problem will be important
 </li>
 <li>
 Ability to communicate key messages effectively, and articulate strong opinions in large forums
 
 
 </li>
 </ul>
 
 Desirable Experience
 
 
 
 
 
 
 
 <ul>
 <li>
 Keen contributor to open source communities, and communities like Kaggle
 </li>
 <li>
 Ability to process Huge amount of Data using Pyspark/Hadoop
 </li>
 <li>
 Development &amp; Application of Reinforcement Learning
 </li>
 <li>
 Knowledge of Optimization/Genetic Algorithms
 </li>
 <li>
 Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
 </li>
 <li>
 Optimize and tune deep learning model for best possible accuracy
 </li>
 <li>
 Understanding of stream data processing, RPA, edge computing, AR/VR etc
 </li>
 <li>
 Appreciation of digital ethics, data privacy will be important
 </li>
 <li>
 Experience of working with AI &amp; Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
 </li>
 <li>
 Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
 </li>
 </ul>
</div>

Pfizer

<div>
 Pfizer is committed to delivering high-quality, safe, and effective products to those who need them most. Within our Digital division, we foster a science-driven, risk-aware quality culture that supports our mission to improve patient outcomes through innovation and technology.
 
 
 We are seeking a Data Scientist to join the SAP Analytics Enablement (SAE) team. This team is responsible for developing SAP-based operational analytics and machine learning solutions that drive digital transformation across the enterprise.
 
 
 As a Data Scientist and Advanced Analytics Solution Developer, you will play a critical role in designing and delivering analytical products that address complex business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with business and creation center SMEs to understand customer needs and deliver actionable, model-driven solutions.
 </li>
 <li>
 Lead the full machine learning lifecycle: research, design, experimentation, development, deployment, monitoring, and maintenance.
 </li>
 <li>
 Analyze large, complex datasets to extract meaningful insights and support decision-making.
 </li>
 <li>
 Develop prototypes and implement AI/ML algorithms in collaboration with data product owners, engineering teams, and business users.
 </li>
 <li>
 Optimize model performance through hyperparameter tuning and model selection.
 </li>
 <li>
 Continuously enhance models to better align with evolving business needs.
 </li>
 <li>
 Partner with support and operations teams to deploy new and updated analytical solutions.
 
 
 </li>
 </ul>
 
 Strategic Impact
 
 
 
 This role is central to advancing SAE&rsquo;s AI, Data &amp; Analytics strategy by:
 
 
 <ul>
 <li>
 Partnering with high-performing teams across the enterprise
 </li>
 <li>
 Supporting research and innovation initiatives
 </li>
 <li>
 Identifying and applying emerging technology trends
 </li>
 <li>
 Driving measurable value for internal and external stakeholders
 
 
 </li>
 </ul>
 
 Role &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Drive the development and enhancement of Pfizer&rsquo;s SAP Analytics systems, leading hands-on initiatives to deliver cutting-edge digital solutions and fostering innovation throughout the application lifecycle
 </li>
 <li>
 Define and set objectives for the vendor application team&rsquo;s operations, prioritizing resources and planning/deploying solution deliverables to support business requirements
 </li>
 <li>
 Provide technical and application knowledge leadership to the members of the vendor application development team, leveraging technical and functional expertise across multiple disciplines
 </li>
 <li>
 Partner with support and operations teams to share knowledge of Pfizer&rsquo;s new technologies and processes; both to define and implement support requirements and to manage the transition of products and solutions to long-term operations support.
 </li>
 <li>
 Take well-managed risks while ensuring the highest level of quality and compliance related to software development, enhancements, documentation and change management
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in technical discipline (computer science, engineering, etc.)
 </li>
 <li>
 4+ years (2+ years with MBA/MS) of experience in information technology, analytics, or related field
 </li>
 <li>
 Experience in regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, linear algebra, calculus
 </li>
 <li>
 Experience in Linear Algebra, Probability &amp; Statistics, Multivariate Calculus; programming with SQL, Python
 </li>
 <li>
 Experience in supervised and unsupervised Machine Learning algorithms and deep learning frameworks; Data Visualization; data wrangling, developing pipelines for Machine Learning
 </li>
 <li>
 Experience with building big data pipelines and Data Manipulation /data analytics / data management / Big data system.
 </li>
 <li>
 Industry experience with writing code (e.g., Python, Pytorch, PyScala, PySpark, JavaScript) and taking ML models/ algorithms to production
 </li>
 <li>
 Strong analytical skills, results-oriented, customer-oriented attitude, good strategic and conceptual thinking skills
 </li>
 <li>
 Ability to present complex information in a clear and concise manner.
 </li>
 </ul>
 <li>
 
 
 </li>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Pharmaceutical industry experience
 </li>
 <li>
 Knowledge of SAP BDC including Datasphere and Databricks
 </li>
 <li>
 Design Replication Flows in Datasphere .
 </li>
 <li>
 Develop and maintain Spaces, Local Tables, Views, Data Flow, Replication Flow, Transformation Flow, DAC, Task Chain, and Intelligent Lookup within SAP Datasphere
 
 
 </li>
 </ul>
 Work Location Assignment: Hybrid
 
 
 Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 
 
 Information &amp; Business Tech
</div>

Manager, SAP Data Scientist

Hitachi Energy

<div>
 
 The Opportunity
 
 
 
 Support decision-making based on market data, collaborating on nurturing a data-driven culture. Gather, interpret data and analyze results using analytics, research methodologies and statistical techniques, assessing BU and GPGs needs, playing a key role during the M&amp;S yearly cycle (mainly Market Input Market Outlook -MIMO, Strategic Planning, Global Target Setting -GTS).
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Being the person of reference in the GPG, together with the GPMM, on the market intelligence and analytical tools, dashboards, excel-based files, SalesBI/ PowerBI /STRATOS/Anaplan/MIS.
 </li>
 <li>
 GPG Mekko/STRATOS preparation, production and alignment for the main Hitachi Energy Global processes: Global Target Setting (GTS) and Marketing Input Market Outputs -historical product and market review- (MIMO). Order Estimates, BU forecast models, Market sizes/shares, PIE by country/product/segment and Market/segment validation.
 </li>
 <li>
 Collect data and provides sound business and competitor intelligence analyses related to market and trends. Participates with Management to contribute to definition of strategic plans and support relevant implementation.
 </li>
 <li>
 Support the key strategic initiatives of the GPG, collecting feedback and providing insights to improve hit-rate. Assists in the development of business analysis tools to support global, regional, and local marketing &amp; sales teams (eg. STRATOS/Anaplan).
 </li>
 <li>
 Support on the Demand vs supply Orders Received budget mapping (yearly, after GTS). Market Intelligence System (MIS) updates for the GPG. Master Data checks and validation for the related GPG. GPG Product portfolio analysis and support.
 </li>
 <li>
 Develop and implement data analyses, leverage data collection systems and other strategies that optimize statistical efficiency and quality in their GPG. Act as a liaison between HUBs, GPGs and BU, analyzing and interpreting data involving company procedures, policies and workflows.
 </li>
 <li>
 Evaluate key performance indicators (KPIs), provide ongoing reports, and recommend business plan updates. Proactively monitors and strives to maintain high levels of data quality and completeness.
 </li>
 <li>
 Extracting and analyzing data from sales/financial tools and other relevant sources to measure progress of specific activities or milestones for the defined processes and initiatives.
 </li>
 <li>
 Providing ad-hoc analysis based on business needs (channels, segments, geographic areas, top accounts). Developing and maintaining reports and dashboards (including but not limited to Salesforce.com).
 </li>
 <li>
 Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
 </li>
 <li>
 Living Hitachi Energy&rsquo;s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, mathematics, economics or equivalent qualification.
 </li>
 <li>
 Experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Ability to write reports and present findings in a professional way (MS power point, excel).
 </li>
 <li>
 Experience in SFDC and PowerBI for developing reports and dashboards. Basic Intermediate statistical knowledge: Linear Regression, Correlation, cross tabs, elementary probability, and intermediate logic would be beneficial.
 </li>
 <li>
 Intermediate change management skills: analysis, conclusion, recommend, present.
 </li>
 <li>
 Good marketing and sales experience (product knowledge and market drivers may help a lot while working on market estimation models).
 </li>
 <li>
 Strong attention to detail and ability to work under tight deadlines. Proactive and self-motivated.
 </li>
 <li>
 Passion, Integrity and Energy. Excellent MS Excel/PowerPoint/SharePoint skills
 </li>
 <li>
 Proficiency in both spoken &amp; written English language is required
 
 
 </li>
 </ul>
 Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives.
 
 
 With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time &ndash; balancing soaring electricity demand, while decarbonizing the power system.
 
 
 Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.
</div>

Global Data Scientist

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

SignaTech

<div>
 
 About Us
 
 
 
 Signa Tech is a rapidly growing company with a desire to transform the way people work by leveraging the power of IT. Our goal is to help companies simplify, streamline, make informed decisions, and breathe.
 
 
 
 Why you need to join us?
 
 
 
 At Signa Tech, we are not just looking for employees; we are seeking talented individuals who want to be part of a winning team. We are on the lookout for a passionate Data Engineer to join our exceptional team and play a pivotal role in our data-driven journey.
 
 
 
 About The Role
 
 
 
 We are seeking a skilled and motivated Data Engineer with around 3 years of experience in building and maintaining efficient data pipelines and ETL processes. The candidate should have a solid foundation in data concepts, SQL, and ETL development, with hands-on experience in modern data tools. Knowledge of Power BI and Alteryx will be considered an added advantage.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources.
 </li>
 <li>
 Develop and optimize SQL queries, stored procedures, and data models for analytics and reporting.
 </li>
 <li>
 Troubleshoot and optimize existing data workflows for performance and reliability.
 </li>
 <li>
 Support data visualization and reporting needs using tools like Power BI.
 </li>
 <li>
 Ensure data security, compliance, and governance best practices.
 </li>
 <li>
 Collaborate with cross-functional teams to define and implement data architecture and data flow processes.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 3+ years of experience in data engineering or related roles.
 </li>
 <li>
 Strong understanding of data warehousing concepts, ETL pipelines, and data modeling.
 </li>
 <li>
 Proficiency in SQL (T-SQL, PL/SQL, or similar).
 </li>
 <li>
 Hands-on experience with ETL tools or frameworks (e.g., SSIS, Talend, ADF, DBT, Prefect, or Airflow).
 </li>
 <li>
 Experience working with relational databases (SQL Server, PostgreSQL, MySQL, etc.).
 </li>
 <li>
 Familiarity with data visualization tools like Power BI (preferred).
 </li>
 <li>
 Basic understanding of Python or other scripting languages for data processing is a plus.
 </li>
 <li>
 Good analytical thinking, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to version control systems (Git) and CI/CD pipelines.
 </li>
 <li>
 Understanding of data governance, metadata management, and security best practices.
 
 
 </li>
 </ul>
 
 Perks:
 
 SignaTech provides individuals with a competitive salary, a full range of benefits, chances for professional advancement, and a dynamic work environment that values creativity and teamwork.
 
 
 
 Join us and be part of something great at SignaTech
 
 
 
 Skills: reporting,client delivery,data,power bi,sql,etl,concepts,pipelines,data engineering,collaboration,security,data analysis,architects,data transformation,data visualization
</div>

Data Engineer

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>
 <li>
 Design, write and optimize complex SQL queries to extract, transform and validate data from transactional and analytical databases.
 </li>
 <li>
 Build and maintain automated ETL processes and clean datasets using Python (pandas) and Excel to support recurring reporting needs.
 </li>
 <li>
 Create interactive dashboards and executive reports in Power BI and Tableau that surface key metrics, trends and root-cause analysis.
 </li>
 <li>
 Perform ad-hoc analysis, A/B testing and statistical summarisation to answer business questions and recommend data-backed actions.
 </li>
 <li>
 Implement data-quality checks, monitor KPI health, and document data lineage to ensure accuracy and reproducibility of insights.
 </li>
 <li>
 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>
 <li>
 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>
 <li>
 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>
 <li>
 Hands-on, collaborative analytics team with mentorship and upskilling support
 </li>
 <li>
 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

Explore 43+ Data scientist in Chennai this November. Find roles across top companies and apply now to boost your career.

43 data scientist jobs IN Chennai

Data Scientist

Data Scientist

Manager, SAP Data Scientist

Global Data Scientist

Senior Analyst - Data Science

Data Engineer

Data analyst