Data Analyst

Mumbai
July 28, 2026
Full Time
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Job Description

A Data Analyst collects, analyzes, and interprets large datasets to generate actionable insights that support product improvements and business decision-making. The role involves building dashboards, writing SQL queries, performing statistical analysis, automating data workflows, and collaborating with cross-functional teams to improve business performance.

Responsibilities

Data Analysis & Insights

  • Analyze large datasets to identify trends, patterns, and business opportunities.
  • Generate actionable insights to support product and business decisions.
  • Monitor key performance metrics and prepare analytical reports.
  • Ensure data accuracy, consistency, and integrity.

Dashboard & Reporting

  • Design, develop, and maintain interactive dashboards using Power BI, Tableau, and LookerML.
  • Create reports that communicate business performance effectively.
  • Automate reporting processes to improve efficiency.
  • Present findings to technical and non-technical stakeholders.

SQL & Data Management

  • Write, optimize, and maintain complex SQL queries.
  • Extract, transform, and analyze data from multiple sources.
  • Perform data validation and quality checks.
  • Manage large-scale datasets efficiently.

Data Automation & Analytics

  • Develop Python scripts for data extraction, cleaning, automation, and analysis.
  • Build reusable analytical workflows.
  • Support ETL processes and data pipeline improvements.
  • Improve data processing efficiency.

Product Analytics

  • Track user behavior and product performance using tools like Mixpanel, Amplitude, or Heap.
  • Analyze customer journeys and conversion funnels.
  • Identify opportunities to improve user engagement and retention.
  • Measure the impact of product changes.

Experimentation & Statistics

  • Design and analyze A/B tests.
  • Apply hypothesis testing, confidence intervals, and p-value analysis.
  • Validate business hypotheses using statistical methods.
  • Provide data-backed recommendations.

Cloud & Data Warehousing

  • Work with cloud platforms such as Google Cloud Platform (GCP) and BigQuery.
  • Manage and query cloud-based data warehouses.
  • Support scalable data processing and analytics.
  • Optimize cloud-based reporting solutions.

Collaboration

  • Work closely with product managers, engineers, and business stakeholders.
  • Translate business requirements into analytical solutions.
  • Define KPIs and performance metrics.
  • Document analytical processes and reporting standards.

Required Skills

Data Analysis

  • Data Analytics
  • Data Analysis
  • Product Analytics
  • Business Intelligence (BI)
  • Data Interpretation
  • Reporting

Databases & Querying

  • SQL
  • Query Optimization
  • BigQuery
  • Redshift
  • Snowflake
  • Data Warehousing

Visualization Tools

  • Power BI
  • Tableau
  • Looker
  • LookerML
  • Dashboard Development
  • Data Visualization

Programming

  • Python
  • Data Automation
  • Scripting
  • ETL
  • Data Processing

Statistics

  • A/B Testing
  • Hypothesis Testing
  • Statistical Analysis
  • Confidence Intervals
  • P-value Analysis
  • Experiment Design

Cloud Platforms

  • Google Cloud Platform (GCP)
  • BigQuery
  • Cloud Data Analytics

Analytics Tools

  • Mixpanel
  • Amplitude
  • Heap

Version Control (Preferred)

  • Git

Soft Skills

  • Analytical Thinking
  • Problem Solving
  • Communication Skills
  • Presentation Skills
  • Attention to Detail
  • Critical Thinking
  • Team Collaboration
  • Time Management
  • Business Acumen
  • Self-Motivation

Keywords

Data Analyst, Data Analytics, Product Analytics, SQL, Power BI, Tableau, Looker, LookerML, BigQuery, Google Cloud Platform (GCP), Python, Data Visualization, Dashboards, Business Intelligence (BI), Data Warehousing, Redshift, Snowflake, ETL, Mixpanel, Amplitude, Heap, A/B Testing, Statistical Analysis, Hypothesis Testing, Data Processing, Reporting, Business Insights.

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