Sr. Business Analyst

Job Description: Senior Business Analyst – Profitability & Product Analytics
Department: Business Intelligence & Analytics
Location: Bhopal
Experience: 6 + Years
Employment Type: Full-Time
1. Job Summary
We are looking for a results-driven Senior Business Analyst – Profitability & Product Analytics to join our Business Intelligence and Growth team. The ideal candidate will bridge business strategy, data analytics, and cross-functional operations to drive profitability, optimize business performance, and support data-driven decision-making.
The role involves profitability analysis, margin optimization, BI dashboard development, advanced SQL analytics, customer segmentation, and product/app performance evaluation. The candidate will collaborate with Product, Engineering, Marketing, Finance, and Operations teams to identify growth opportunities, improve gross margins, and streamline business processes.
2. Key Responsibilities
A. Profitability & Business Growth Analysis
Analyze profit center performance, revenue growth, gross margins, and profitability drivers.
Identify margin leakages and recommend strategies to improve profitability.
Evaluate unit economics and financial performance across B2B and B2C business channels.
Develop profitability models and provide actionable insights to support strategic decisions.
B. Business Intelligence & Reporting
Design, develop, and maintain interactive dashboards using Power BI, Looker Studio, and Tableau.
Track operational KPIs, customer metrics, conversion rates, and business performance.
Prepare weekly and monthly KPI reports for senior management.
Translate complex data into meaningful business insights and recommendations.
C. SQL, Python & Data Analytics
Write complex and optimized SQL queries to extract, transform, and analyze large datasets.
Work with databases and data warehouses such as BigQuery and MySQL.
Use Python libraries, including Pandas, NumPy, Matplotlib, and Seaborn, for data analysis and visualization.
Conduct exploratory data analysis, statistical evaluations, and customer segmentation.
Collaborate with Data Engineering and Product teams to improve data quality, reporting automation, and data infrastructure.
D. Product & Application Performance Analytics
Monitor product and application metrics, including traffic, DAU/MAU, conversion funnels, Average Order Value (AOV), and feature adoption.
Analyze user behavior and identify opportunities to improve customer journeys and conversion rates.
Evaluate self-checkout adoption and other digital engagement metrics.
Recommend data-driven improvements to enhance product performance and customer experience.
E. Business Requirements & Process Improvement
Collaborate with stakeholders to gather and document functional and technical requirements.
Prepare Business Requirement Documents (BRDs), user stories, and process flow documentation.
Coordinate User Acceptance Testing (UAT) and validate business requirements.
Map end-to-end business processes and identify operational inefficiencies.
Work with cross-functional teams to implement scalable, data-driven solutions.
3. Required Qualifications & Skills
Educational Qualifications
Bachelor's degree in Engineering, Computer Science, Agricultural Engineering, STEM, or a related field.
Relevant practical experience may be considered in place of specific educational qualifications.
Certifications or advanced training in Data Science and Machine Learning will be an added advantage.
Technical Skills
SQL & Databases: Advanced SQL, BigQuery, MySQL, and data extraction techniques.
BI & Visualization: Power BI, Looker Studio, Tableau, DAX, and Google Sheets.
Programming & Automation: Python, Pandas, NumPy, Matplotlib, Seaborn, Google Apps Script, and CRM workflows.
Business Analysis: BRDs, user stories, requirements gathering, UAT, and process mapping.
Analytics: Profitability modelling, unit economics, customer segmentation, statistical analysis, and product funnel analytics.
4. Experience & Competencies
Minimum 6+ years of relevant experience as a Business Analyst, Senior Business Analyst, or Senior Data Analyst.
Experience in e-commerce, agritech, SaaS, retail, or other data-driven business environments is preferred.
Strong understanding of profitability analysis, business performance metrics, and revenue growth.
Proven ability to build analytical dashboards and convert data into actionable business recommendations.
Excellent stakeholder management and cross-functional collaboration skills.
Strong problem-solving, analytical thinking, communication, and presentation skills.

Work arrangement
No