BigBasket - Product Analyst - Python/SQL (2-5 yrs)

Job Description :

Data Analysis & Insights :

- Work on diverse datasets to extract key insights and trends that impact business decisions.

- You will explore complex data, identify areas of improvement, and deliver actionable recommendations to support both short-term actions and long-term strategies.

Collaboration & Stakeholder Communication :

- Partner with various teams across the organisation to share your findings and recommendations, ensuring data-driven decisions are integrated across business and product initiatives.

- Communicate key takeaways from data analyses to nontechnical stakeholders in a clear and compelling way.

Performance Monitoring & Issue Resolution :

- Monitor key business and operational metrics to identify patterns or anomalies.

- Perform in-depth analysis to uncover root causes and provide timely solutions to support ongoing operations.

Model Evaluation & Predictive Insights :

- Analyze data outputs from internal models and compare them with actual performance data.

- Help the business understand the impact of predictions and forecasts by assessing their accuracy and suggesting adjustments.

Automation & Data Efficiency :

- Design and implement scripts or tools to streamline data analysis processes.

- Automate repetitive reporting tasks to improve efficiency and ensure consistency in data access for stakeholders.

Exploratory Data Work & Trend Identification :

- Dive deep into large datasets to explore and detect emerging patterns or business opportunities.

- Provide insights on how trends may influence future business outcomes or product developments.

Required Skills & Qualifications :

Technical Proficiency :

- Strong SQL skills for querying and managing large datasets.

- Proficiency in Python for data analysis, automation, and scripting.

- Expertise in Microsoft Excel for data manipulation, pivot tables, and advanced analysis.

Analytical Mindset :

- Ability to transform complex data into meaningful, actionable insights.

- Skilled in connecting data-driven observations to broader business goals and strategy.

Communication & Storytelling :

- Exceptional ability to present data findings in a clear, concise manner to nontechnical stakeholders.

- Strong narrative skills to translate insights into business recommendations.

Business Acumen :

- Understanding of how data insights can influence business decisions in a fast-paced, data-driven environment.

Experience :

- 2-4 years of experience in data analytics, business intelligence, or a similar role, preferably in a fast-moving, operationally intensive industry.