Top Data Analyst Jobs in Kolkata

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

Register and assist job seekers on the company job portal, support resume uploads, collect candidate information, provide phone support during specified hours, and perform basic data entry and system updates for recruitment processes.

This posting asks candidates to register on JobDials.com for a client: create an account, upload your resume/CV, and call the listed contact between 11 A.M. and 2 P.M. for instant support. The description promotes portal features (resume database, job alerts via email/SMS) but provides no Data Analyst responsibilities or qualifications.

The role involves data analytics with a focus on querying large data sets, visualization using Tableau, and applying quantitative skills, predominantly in the FMCG and Food & Distribution sectors.

The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.

Owner of company-wide reporting and analytics for Growth, Marketing, Product, Finance and Operations. Build and maintain dashboards, automated reports and data pipelines (dbt), ensure data quality and governance, run growth and product analyses (CAC, ROAS, LTV, retention), support A/B testing and ad-hoc decision support, leverage AI for automation, and coordinate VAs on data tasks.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.

Perform Salesforce data analysis and integration focused on CPQ and billing. Conduct data gap analysis, compare and standardize large datasets, and support enterprise CPQ design for subscriptions, order orchestration, invoicing, revenue recognition, taxation, payments, and general ledger integration.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Early-career Data Analyst who designs and owns core analytics, dashboards, and data pipelines. Analyze transaction, customer, and credit data to inform credit, fraud, AML, portfolio performance, unit economics, and growth. Build automations and workflows with SQL and Python, partner with cross-functional teams, and own compliance reporting and durable analytical systems.

Senior Data Analyst role based in Chennai or Bangalore requiring strong SQL and visualization skills (Power BI or Tableau). 8+ years experience required. Python and PowerAutomate familiarity preferred. Responsible for analyzing data, building dashboards, and supporting reporting and automation.

Perform consultative analytics and predictive modeling to produce executive-level recommendations and ad-hoc analyses. Build dashboards and presentations for senior management, support finance and business partners with cost-benefit and workforce optimization analyses, streamline processes, and communicate insights clearly to influence decision-making.

Seeking a Data Analyst with 6-9 years' experience in Python-driven data analysis or automation. Must be strong in Python programming, basic AWS, shell scripting, and Linux to build analysis scripts, automate workflows, and operate in Linux/AWS environments.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Design, develop, and support dashboards, reports, and data models; prepare and transform data; ensure data quality and governance; partner with stakeholders to deliver end-to-end analytics solutions and drive process improvement.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Data Analyst I role involves analyzing data to solve business problems, supporting business intelligence initiatives, and developing Power BI solutions, while collaborating with various teams and stakeholders.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Collaborate with game teams to deliver actionable insights that increase user acquisition, engagement, and monetization. Design and instrument analytics events and queries, run exploratory analyses and competitor analysis, generate reports, and design/interpret A/B tests to evaluate game features and offers.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.