V Mart

Description :

- 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.

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.

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.

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.

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 :

- Bachelors or Masters degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field.

Experience :

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.