Store Ops Analyst
Profile Code: AL-RET-04
- ₹6.5 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 6 Weeks
Skills You Learn: Retail Operations Analytics | Store Performance Management | KPI Reporting & Dashboarding | Inventory & Workforce Analysis | Omnichannel Operations Management | Process Improvement & Problem Solving | Excel, SQL & Data Visualization | Customer Experience Analytics
Overview Video
About This Course
A Store Operations Analyst in the retail (offline and omni-channel) industry focuses on improving in-store performance, operational efficiency, and customer experience through data-driven insights. This course equips learners with the skills to track KPIs such as footfall, conversion rates, sales per square foot, staff productivity, and inventory availability. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for performance analysis and reporting. The program emphasizes store performance optimization, workforce planning, and operational efficiency in multi-channel retail environments. Learners will understand how to identify bottlenecks, improve store processes, and enhance customer experience. By the end of the course, they are prepared for roles in retail operations analytics, with career progression into store management, operations leadership, and retail strategy positions.
Course Content
4 modules · 6 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Store Operations Analysts in the Retail (Offline and Omni-channel) industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, store performance analysis, sales reporting, inventory tracking, workforce planning, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, operational analytics, variance analysis, data visualization, and interactive dashboards to optimize store operations, improve productivity, and support data-driven retail decision-making.
Forecasting Tools Course
The **Forecasting Tools Course** covers basic to advanced concepts for Store Operations Analysts in the Retail (Offline and Omni-channel) industry, including demand forecasting, sales forecasting, inventory forecasting, time-series analysis, trend analysis, seasonality modeling, forecasting techniques, replenishment planning, stock optimization, predictive analytics, scenario analysis, forecasting dashboards, report generation, workflow automation, performance monitoring, statistical forecasting methods, forecast accuracy measurement, integration with ERP and BI systems, and forecasting analytics to improve inventory availability, operational efficiency, and retail planning.
SQL/BI Course
The **SQL/BI Course** covers basic to advanced concepts for Store Operations Analysts in the Retail (Offline and Omni-channel) industry, including SQL database fundamentals, SELECT queries, joins, data extraction, data transformation, Power BI data modeling, DAX calculations, KPI development, dashboard creation, interactive visualizations, sales performance reporting, inventory analytics, customer behavior analysis, operational dashboards, automated reporting, drill-through reports, forecasting visualization, data storytelling, performance monitoring, and business intelligence techniques to transform retail operational data into actionable insights for efficient store management and strategic decision-making.
Python Course
The **Python Course** covers basic to advanced concepts for Store Operations Analysts in the Retail (Offline and Omni-channel) industry, including Python fundamentals, variables, data types, control statements, functions, object-oriented programming, NumPy, Pandas, Matplotlib, data preprocessing, automation scripting, sales data analysis, inventory optimization, demand forecasting, predictive analytics, machine learning fundamentals, API integration, reporting automation, data visualization, workflow optimization, and performance analysis to automate retail operations, improve forecasting accuracy, optimize inventory management, and support intelligent business decision-making.
Key Responsibilities
- Monitor and analyze store performance metrics across physical and omnichannel retail operations
- Track sales, staffing, inventory, and customer service KPIs to improve store efficiency
- Identify operational bottlenecks and recommend process improvements
- Prepare dashboards and reports on store productivity, compliance, and customer experience
- Collaborate with store managers, merchandising, and supply chain teams to optimize retail operations and profitability
Growth Path
Tools Used
Perfect For
Business and Commerce Graduates | Retail & E-commerce Professionals | Operations and Supply Chain Aspirants | Data Analytics Enthusiasts | Store Management Professionals | Individuals Interested in Retail Operations and Performance Management
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Retail (offline + omni)
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