About the Role
The role involves leveraging strong hands-on SQL skills to analyze business and marketing performance, and integrating AI to enhance analytics efficiency and effectiveness. You will work with a dynamic team to drive insights that support decision-making and growth across various levels of the organization.
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Responsibilities
- Analyze business performance across growth, customer behavior, revenue, profitability, marketing, and operations.
- Independently write and optimize SQL queries to extract and analyze large datasets.
- Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.
- Analyze customer behavior related to acquisition, activation, retention, churn, frequency, cohorts, segmentation, and customer value.
- Evaluate marketing and campaign performance across relevant channels, linking marketing activities to customer acquisition, engagement, conversion, retention, and revenue.
- Assess marketing efficiency metrics such as CAC/CARC, ROAS, conversion, campaign uplift, and customer quality, providing recommendations for improved targeting and budget allocation.
- Support customer segmentation and targeting strategies using behavioral, lifecycle, frequency, and value-based cohorts.
- Conduct pre/post, cohort, benchmark, and incrementality analyses to evaluate campaigns, promotions, and business initiatives.
- Facilitate business cases, forecasting, scenario modeling, and impact estimation for new initiatives.
- Build dashboards and recurring reports using BI and visualization tools, ensuring clear visibility across business and marketing KPIs.
- Partner with Marketing, Product, Commercial, Operations, and other cross-functional teams to define KPIs and offer clear, commercially relevant recommendations.
- Translate complex analyses into clear insights and actionable recommendations for business stakeholders.
- Ensure accuracy, consistency, and reliability of analytical outputs and measurement logic.
AI in Analytics
The candidate should actively incorporate AI into their analytics workflow, including:
- Accelerating SQL development, debugging, and analysis.
- Structuring analytical approaches and generating hypotheses.
- Automating repetitive reporting and analytical tasks.
- Supporting quicker campaign, customer, and marketing performance analyses.
- Enhancing insight generation, documentation, and stakeholder communication.
- Building reusable analytical workflows or AI-assisted processes that boost team productivity and scalability.
Qualifications
- 3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.
- Strong hands-on SQL skills.
- Proficient in Excel / Google Sheets.
- Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.
- Strong analytical, problem-solving, and structured thinking skills.
- Ability to convert data into clear business recommendations.
- Comfortable working with multiple stakeholders in a fast-paced environment.
- Practical exposure to generative AI tools in analytical workflows.
Nice to Have
- Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.
- Exposure to Python.
- Understanding of A/B testing and experimentation.
- Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.
