Top Data Analyst Jobs in Gurgaon

Collect, clean, and analyze large datasets to extract insights. Create reports and dashboards, perform statistical analysis, and collaborate with stakeholders to support decision-making.

Design, build, and maintain scalable data pipelines and semantic data models in dbt and Snowflake. Profile and ingest client data, implement data quality testing and version control, and enable self-service analytics via Tableau. Collaborate with stakeholders to deliver reporting and analytic solutions, and support ML/NLP initiatives.

Serve as liaison between business and technical teams to gather requirements, profile and standardize data, perform data mapping, transformations and consolidation, document data lineage and models, and support insurance (P&C) policy, claims and reinsurance data initiatives.

Implement and maintain SQL and Power BI solutions; translate business needs into data tasks; ensure data quality and validation; create data models and semantic layers; build client-ready dashboards and reports; automate workflows using Power Apps and Power Automate; liaise with stakeholders to define reporting requirements.

Early-career platform engineer supporting development and maintenance of cloud infrastructure. Support automation of deployments, monitoring, and scaling; troubleshoot with senior engineers; apply DevOps practices; document configurations and participate in code reviews and team learning.

Validate datasets and tables produced by upstream data teams using SQL. Perform table-level source vs output checks, identify data anomalies, drive issue resolution, and collaborate with data teams to confirm expected outputs and business logic.

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.

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 Senior Network Data Analyst will design and maintain data architecture for network consolidation, standardizing legacy data into a unified model, resolving data anomalies, and ensuring data integrity for automation pipelines.

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 analytics and data modeling using cloud and database platforms; design modeling studies, address data quality, construct analytical datasets, and communicate results to mid/senior management. Learn healthcare and digital marketing data toolsets and apply statistical/datamining techniques.

Collect, clean, and analyze structured and unstructured data using SQL and MongoDB. Build dashboards and visualizations, ensure data quality, collaborate with cross-functional teams, and support predictive models and data pipelines to inform business decisions.

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.

The Data Operations Analyst will analyze data for revenue cycle management, oversee QBR deck creation, ensure data quality, and improve processes.

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.

Support EMEA Distribution by delivering actionable commercial insights, building and maintaining dashboards, automating reporting, performing advanced analytics (trend analysis, forecasting), and collaborating with stakeholders to prioritize and deliver high-impact data solutions.

Collect and validate quantitative and qualitative cargo/freight data from primary sources and web tools, reconcile discrepancies, maintain data quality, produce automated reports and daily summaries, and generate targeted prospect lists to support sales teams while meeting weekly deadlines.