About the Role
This position requires strong hands-on SQL skills along with experience in analyzing business and marketing performance. A keen interest in using AI to enhance analytics speed, scalability, and impact is essential. The role encompasses comprehensive analysis of business performance across various domains including growth, customer behavior, revenue, profitability, marketing, and operations.
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Key Responsibilities
- Analyze business performance, focusing on growth, customer behavior, revenue, profitability, marketing, and operations.
- Write and optimize SQL queries independently to extract and analyze large datasets.
- Conduct in-depth analyses to identify trends, performance gaps, growth opportunities, and key drivers of the business.
- Evaluate customer behavior metrics such as acquisition, activation, retention, churn, frequency, cohorts, segmentation, and customer value.
- Analyze marketing and campaign performance across various channels, linking marketing activities to customer acquisition, engagement, conversion, retention, and revenue.
- Assess marketing efficiency metrics like CAC/CARC, ROAS, conversion rates, campaign uplift, and customer quality; recommend strategies for improved targeting and budget allocation.
- Support the development of customer segmentation and targeting strategies utilizing behavioral, lifecycle, frequency, and value-based cohorts.
- Conduct various analytical studies including pre/post, cohort, benchmark, and incrementality analyses to evaluate campaigns, promotions, and business initiatives.
- Assist in building business cases, forecasting, scenario modeling, and impact estimation for new initiatives.
- Create dashboards and recurring reports using BI and visualization tools, ensuring clear visibility across business and marketing KPIs.
- Collaborate with Marketing, Product, Commercial, Operations, and other cross-functional teams to define KPIs and generate actionable, commercially relevant insights.
- Translate complex analyses into understandable insights and practical actions for business stakeholders.
- Ensure the accuracy, consistency, and reliability of analytical outputs and the underlying measurement logic.
AI in Analytics
The successful candidate will leverage AI within the analytics workflow to:
- Accelerate SQL development, debugging, and analysis processes.
- Structure analytical methodologies and generate hypotheses.
- Automate repetitive reporting and analytical tasks.
- Facilitate faster analysis of campaign, customer, and marketing performance.
- Enhance insights generation, documentation, and communication with stakeholders.
- Build reusable analytical workflows or AI-assisted processes to boost team productivity and scalability.
Qualifications
- 3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related domain.
- Strong proficiency in SQL and Excel/Google Sheets.
- Familiarity with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.
- Excellent analytical, problem-solving, and structured thinking abilities.
- Capacity to convert data into clear business recommendations.
- Comfortable engaging with multiple stakeholders in a fast-paced environment.
- Practical experience using generative AI tools as part of analytical workflows.
Nice to Have
- Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.
- Exposure to Python programming.
- Understanding of A/B testing and experimentation methodologies.
- Experience related to customer lifecycle management, marketing strategies, pricing, retention, churn, or unit economics.
