Senior Business Analyst

- Experience: 5 to 8 Years
- Employment Type: Full time

Business Intelligence & Analytics / Operations About the Role We are looking for a data-driven and results-oriented Senior Business Analyst to join our Business Intelligence and Growth team. The ideal candidate will combine strong business acumen, advanced SQL expertise, BI reporting capabilities, and product analytics experience to drive profitability, optimize business performance, and improve customer conversion. You will work closely with cross-functional teams, including Product, Engineering, Marketing, Finance, and Operations, to translate complex datasets into actionable business insights, identify margin improvement opportunities, build scalable dashboards, and support strategic decision-making across B2B and B2C business channels. Key Responsibilities

- Profitability & Business Performance Analysis
- Business Intelligence & Dashboard Development
- SQL, Data Analytics & Automation
- Product & Customer Analytics
- Business Analysis & Stakeholder Management Required Skills & Qualifications Experience & Education Technical Skills

Preferred Qualifications Key Competencies

Analyze profit center performance, revenue trends, gross margins, and unit economics across B2B and B2C channels.

- Identify margin leakages, cost inefficiencies, and opportunities to improve profitability.
- Develop profitability models and performance reports to support business planning and strategic decisions.
- Track key financial and operational KPIs and recommend actionable improvement strategies.
- Design, develop, and maintain interactive dashboards using Power BI, Looker Studio, and Tableau.
- Build executive-level KPI reports and performance scorecards for weekly and monthly business reviews.
- Define and standardize business metrics to ensure consistent reporting across teams.
- Convert analytical findings into clear, data-driven recommendations for senior management.




- Write complex, optimized SQL queries to extract, transform, and analyze large datasets using BigQuery and MySQL.
- Perform exploratory data analysis and statistical analysis using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Automate recurring reports and workflows using Google Apps Script, Google Sheets, and relevant CRM tools.
- Collaborate with Data Engineering teams to improve data quality, reporting efficiency, and analytics infrastructure.
- Monitor product and application performance metrics, including DAU/MAU, traffic, conversion funnels, Average Order Value (AOV), and feature adoption.
- Analyze customer behavior, engagement, retention, and drop-off points across digital journeys.
- Identify opportunities to improve conversion rates, customer experience, and self-checkout adoption.
- Conduct customer segmentation and cohort analysis to support targeted growth initiatives.
- Work with business stakeholders to gather requirements, define KPIs, and translate business needs into functional and technical specifications.
- Prepare Business Requirement Documents (BRDs), user stories, and acceptance criteria.
- Facilitate User Acceptance Testing (UAT), validate business requirements, and coordinate issue resolution.
- Map end-to-end business processes, identify operational bottlenecks, and recommend scalable solutions.
- Partner with Product, Engineering, Marketing, Finance, and Operations teams to drive analytics-led initiatives.
- 5-8 years of relevant experience in Business Analysis, Business Intelligence,



Product Analytics, or Data Analytics.
- Experience in e-commerce, retail, agritech, SaaS, or other data-driven business environments is preferred.
- Bachelor’s degree in Engineering, Computer Science, Agriculture Engineering, or another STEM discipline, or equivalent practical experience.
- SQL & Databases: Advanced SQL, BigQuery, and MySQL.
- BI & Visualization: Power BI, Looker Studio, Tableau, and DAX.
- Programming & Analytics: Python, Pandas, NumPy, Matplotlib, and Seaborn.
- Reporting & Automation: Google Sheets, Google Apps Script, and CRM workflows.
- Business Analysis: BRD preparation, user story writing, requirements gathering, UAT, and process mapping.
- Analytical Expertise: Profitability analysis, financial and unit economics modeling, customer segmentation, funnel analysis, and KPI development.
- Experience working with B2B and B2C business models.
- Exposure to product-led growth, digital commerce, and mobile application analytics.
- Knowledge of data science, machine learning, and statistical modeling.
- Experience collaborating with data engineering teams and cloud-based data platforms.
- Strong analytical thinking and problem-solving skills.
- Excellent stakeholder management and cross-functional collaboration.
- Ability to translate complex data into actionable business recommendations.
- Strong communication, presentation, and documentation skills.
- Ownership mindset with a focus on business outcomes, profitability, and continuous improvement.
- Work on high-impact business and product analytics initiatives.
- Influence strategic decisions through data-driven insights.
- Collaborate with cross-functional teams to solve complex business problems.
- Drive measurable improvements in profitability, customer experience, and operational

Pay: ₹1,800,000.00 - ₹2,200,000.00 per year

Work Location: In person

📌 Senior Business Analyst (Bhopal)
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