MIS Executive

Birla Opus - Job Description

MIS SUPPORT

Position Level: Executive Level

Department: Customer Experience - Retailing

Reports To: Head Retailing (Utpal Soni)

Location: Pan India

Employment Type: Full-Time

Job Purpose

Provide comprehensive management information system support for retail operations including data analysis, performance reporting, dashboard management, and business intelligence services while ensuring accurate data collection

Strategic Context & Scope

Business Impact: MIS support for all retail touchpoints including experience stores and franchise stores with comprehensive data analysis covering sales, operations, and customer metrics.

Core Competencies Required

Data Analytics: Advanced proficiency in data analysis tools, statistical analysis, reporting platforms, and business intelligence software

Retail Operations Understanding: Knowledge of retail performance metrics, sales analysis, inventory management, and store operations analytics

Technology Skills: Expertise in MIS systems, database management, Excel advanced functions, and reporting automation tools

Process Management: Understanding of data collection processes, quality assurance, and systematic reporting methodologies

Key Result Areas & Strategic Accountabilities

• Retail Performance Analytics & Reporting
• Performance Dashboards: Create and maintain comprehensive performance dashboards covering sales metrics, customer footfall, conversion rates, and operational efficiency across all retail stores
• Sales Analysis: Conduct detailed sales analysis including trend analysis, product performance, seasonal variations, and comparative performance across store formats
• Store Performance Monitoring: Generate regular performance reports comparing individual store performance against targets, benchmarks, and peer stores
• Business Intelligence: Provide actionable insights from retail data to support strategic decision-making and operational improvements
• Data Management & Quality Assurance
• Data Collection Systems: Implement and maintain robust data collection systems ensuring accurate capture of retail metrics from all store formats
• Data Validation: Establish data quality assurance processes including validation checks, error identification, and data cleansing procedures
• Database Management: Maintain retail databases ensuring data integrity, accessibility, and security while optimizing data storage and retrieval processes
• System Integration: Coordinate integration between various retail systems including POS, inventory management, CRM, and analytics platforms
• Store Operations Support & Analysis
• Customer Analytics: Provide insights on customer behavior, purchase patterns, demographics, and satisfaction metrics across retail network
• Operational Efficiency Analysis: Monitor operational metrics including staff productivity, service times, customer wait times, and process efficiency
• Cost Analysis: Conduct cost analysis for store operations including rent, utilities, staff costs, and operational expenses with profitability assessment
• Reporting Automation & Process Improvement
• Process Standardization: Standardize data collection, processing, and reporting processes across all retail locations for consistency and efficiency
• Tool Development: Create analytical tools and templates to support retail teams in performance monitoring and decision-making
• Training Support: Provide training and support to retail teams on data interpretation, report usage, and analytical tools
  
  

Direct Reports

This position typically has no direct reports but coordinates with store teams, IT support, and data collection personnel.

Key Relationships

Internal

Frequency

Purpose

Head Retailing

Daily

Performance reporting, data insights sharing, and analytical support coordination

Store Managers

Weekly

Data collection coordination, report distribution, and performance review support

IT Team

Weekly

System integration support, technical issue resolution, and platform maintenance

Finance Team

Monthly

Financial data validation, cost analysis, and profitability reporting

Marketing Team

Monthly

Customer analytics sharing, campaign performance analysis, and market insights

Operations Team

Daily

Operational metrics reporting, efficiency analysis, and process improvement support