We are seeking a highly analytical and business-oriented Senior Data Analyst to join a growing e-commerce subscription business. In this role, you will leverage advanced analytics, statistical modeling, and data storytelling to drive strategic decisions across customer acquisition, retention, personalization, and business growth initiatives.

This is an excellent opportunity for a data professional who enjoys transforming complex datasets into actionable business insights and collaborating with cross-functional teams to influence company-wide strategy.

Key ResponsibilitiesAnalytics & Business Insights

• Build and maintain dashboards, reports, and ad-hoc analyses to support strategic decision-making.
• Develop actionable insights that improve customer acquisition, retention, engagement, and growth.
• Translate complex analytical findings into clear business recommendations for stakeholders at all levels.
• Support data-driven decision-making across multiple business functions.

Statistical Analysis & Experimentation

• Lead hypothesis testing and A/B testing initiatives.
• Perform regression analysis, forecasting, and advanced statistical modeling.
• Evaluate business performance and identify growth opportunities through data analysis.
• Support experimentation frameworks and performance measurement initiatives.

Data Engineering & Automation

• Develop SQL and Python-based automation solutions.
• Support data quality monitoring and reporting processes.
• Work with modern analytics tools and workflows to improve data reliability and accessibility.
• Contribute to scalable reporting and analytics infrastructure.

Cross-Functional Collaboration

• Partner closely with Marketing, Product, Merchandising, and Engineering teams.
• Align analytical initiatives with business objectives and growth strategies.
• Present insights and recommendations to both technical and non-technical audiences.

RequirementsMust Have

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field.
• Minimum 4 years of experience in data analytics.
• At least 2 years of experience providing technical guidance, mentorship, or leadership within analytics teams.
• Strong experience working in e-commerce environments.

Advanced proficiency in:

• SQL
• Python or R
• Tableau
• Snowflake
• Strong knowledge of statistical methods and advanced analytics techniques.
• Excellent communication skills with the ability to explain technical concepts to diverse audiences.
• Experience working with business stakeholders and influencing strategic decisions through data.

Nice to Have

• Experience with machine learning applications.
• Knowledge of experimental design methodologies.
• Experience with Airflow and dbt.
• Strong understanding of subscription-based business models.
• Deep knowledge of e-commerce KPIs, customer lifecycle metrics, and personalization strategies.

Ideal Profile

We are looking for someone who:

• Is highly analytical and naturally curious.
• Enjoys solving complex business problems using data.
• Can balance technical expertise with strong business acumen.
• Is comfortable working independently in a remote environment.
• Has excellent stakeholder management and communication skills.
• Thrives in collaborative, fast-paced, and growth-oriented organizations.

Job Type: Full-time

Pay: $52,300.00 - $78,500.00 per month

Work Location: Remote