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.
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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
.
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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.
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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.
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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.
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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.
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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.