Data Analyst

2 days ago

Gurgaon, Haryana, India V-Mart Retail Ltd. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

  • 3–5 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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