Data Analyst

5 days ago

Gurugram Gurugram India V-Mart Retail Ltd. Full time

Job Description 1. Data Collection & Preparation - Source, clean, and structure data from multiple systems including Redshift, Databricks, internal databases, and third-party marketing/product platforms. - Ensure data accuracy, completeness, and consistency by implementing quality checks and validation frameworks. - Work closely with engineering and data teams to improve data pipelines, data models, and analytical accessibility. - 2. Business & Growth Analytics - Partner with marketing, growth, and product teams to uncover actionable insights across funnels, campaigns, and user journeys. - Evaluate marketing effectiveness through metrics like CAC, LTV, ROAS, and incrementality. - Identify growth opportunities by analyzing user acquisition, engagement, retention, and monetization trends. - Support decision-making for new initiatives, product experiments, and feature launches using A/B testing and statistical modeling. - 3. Experimentation & Statistical Analysis - Design, execute, and evaluate A/B tests and controlled experiments to measure the causal impact of marketing and product interventions. - Apply statistical methods (e.g., hypothesis testing, regression, cohort analysis) to understand user behavior and business performance. - Translate complex analytical findings into actionable recommendations backed by evidence. - 4. Reporting & Visualization - Build interactive dashboards and automated reports using Power BI and Tableau for ongoing business tracking and KPI monitoring. - Present insights and business reviews in a clear, concise, and actionable manner to senior stakeholders. - Develop standardized reporting frameworks across growth, marketing, and inventory verticals. - 5. Cross-Functional Collaboration - Collaborate with growth, marketing, product, and category leaders to translate business questions into analytical solutions. - Act as a thought partner to help define KPIs, success metrics, and experiment frameworks. - Drive a culture of data-first decision making within your stakeholder teams. - Required Skills & Qualifications Education - Bachelor's or Master's degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field. - Experience - 35 years of hands-on experience in business analytics, growth analytics, marketing analytics, or product analytics, preferably within an e-commerce or consumer internet company. Technical Skills - SQL (Redshift, Databricks): Strong proficiency in writing complex queries, aggregations, and data transformations. - Excel: Advanced proficiency for quick data analysis and business modeling. - Visualization Tools: Expertise in Power BI or Tableau for dashboarding and storytelling. - Statistical Tools: Working knowledge of Python, R, or statistical packages for analysis. - A/B Testing & Experimentation: Strong understanding of experimental design, control groups, p-values, and statistical significance. - Data Platforms: Exposure to Databricks, AWS Redshift, and cloud-based data environments. - Analytical & Soft Skills - Solid foundation in statistics, business modeling, and data-driven problem solving. - Strong communication skills with the ability to translate data into actionable insights for non-technical audiences. High ownership mindset with a proven track record of delivering business impact through analytics.

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