Management Information Systems Manager

JOB TITILE : Deputy Manager/Manager - MIS

1. Job Purpose

To lead the MIS, business intelligence, and advanced analytics function for the organisation's alcoholic beverages business, enabling data-driven decision-making across sales, distribution, manufacturing, supply chain, finance, and commercial operations. The incumbent will develop integrated management dashboards, analyse state-wise business performance, monitor sales and profitability, strengthen SAP-based reporting, and provide actionable insights to senior management. The role requires an understanding of the Indian alcobev industry, including state-specific excise regulations, distribution structures, depot operations, product portfolios, pricing, market dynamics, and sales performance measurement.

2. Key Responsibilities

A. PAN India Sales MIS & Performance Analytics

• Develop daily, weekly, monthly, quarterly, and annual sales MIS for all states and business units.
• Prepare state-wise, region-wise, depot-wise, distributor-wise, product-wise, brand-wise, and employee-wise dashboards.
• Monitor sales against targets across volume, value, cases, litres, product categories, brands, and sales channels, wherever applicable.
• Analyse performance across IMFL, beer, and other relevant alcoholic beverage categories based on the organisation's product portfolio.
• Track sales achievement, growth trends, target gaps, primary and secondary sales, and market penetration.
• Monitor Sales Executives, ASMs, RSMs, State Heads, and institutional sales teams against defined KPIs.
• Identify underperforming territories, depots, products, and teams; provide root-cause analysis and corrective recommendations.
• Establish a standardised PAN India reporting framework for consistent performance measurement.B. Alcobev Commercial & Market Analytics
• Analyse brand-wise and SKU-wise sales, product mix, premiumisation, price segments, and contribution to business growth.
• Monitor market share where reliable market data is available and assess competitive positioning across states and territories.
• Analyse state-wise pricing structures, approved selling prices, price revisions, product profitability, and contribution margins with Finance.
• Evaluate premium, economy, high-volume, and newly launched products.
• Track outlet coverage, outlet productivity, distribution reach, product availability, and sales conversion where data is available.
• Analyse the impact of seasonality, festivals, tourism, local demand, regulatory changes, and market conditions on sales.
• Provide analytical inputs for brand strategy, state expansion, market development, and product portfolio optimisation.C. SAP & Enterprise Reporting
• Demonstrate strong working knowledge of SAP ECC or SAP S/4HANA and its application to sales, distribution, finance, inventory, and operational reporting.
• Work with relevant SAP modules, particularly SD (Sales and Distribution), FI/CO (Finance and Controlling), and MM (Materials Management), as applicable.
• Extract, reconcile, and analyse SAP data relating to sales orders, billing, dispatches, inventory, receivables, pricing, and financial performance.
• Integrate SAP data with Power BI, SQL-based reporting environments, and other business intelligence tools.
• Ensure consistency between SAP records, depot reports, sales MIS, finance reports, and management dashboards.
• Coordinate with IT and functional teams to resolve discrepancies, improve integration, and enhance reporting capabilities.
• Support SAP reporting improvements, master data governance, and automation of recurring management reports.D. Depot, Distribution & Inventory Analytics
• Monitor depot-wise stock availability, inventory ageing, stock-outs, slow-moving products, and inventory turnover.
• Analyse production, dispatches, stock transfers, sales, and closing inventory to identify supply-demand mismatches.
• Track order fulfilment, dispatch efficiency, depot throughput, and service levels across locations.
• Identify products and locations experiencing repeated stock shortages or excess inventory.
• Support production and supply chain planning through demand forecasts and historical sales analysis.
• Analyse distributor and channel performance, where applicable, to identify distribution bottlenecks and improve product availability.
• Develop exception reports for stock discrepancies, delayed dispatches, unusual sales movements, and inventory risks.E. State-wise Excise & Regulatory Analytics
• Develop structured MIS to track state-wise excise-related commercial data, licence-linked business requirements, approved price lists, product registrations, and regulatory reporting timelines, as applicable.
• Monitor state-specific pricing approvals, product and label registration status, permitted product portfolios, and changes affecting commercial operations.
• Coordinate with State Sales, Excise, Finance, and Compliance teams to consolidate accurate and timely regulatory and business information.
• Develop dashboards for state-wise business restrictions, approval dependencies, regulatory changes, and their potential impact on sales and distribution.
• Maintain validation and audit trails for data used in excise-related and statutory reporting.
• Support compliance monitoring and management oversight without replacing authorised Excise, Legal, or Compliance personnel.F. Advanced Analytics, Forecasting & Business Intelligence
• Develop predictive and statistical models for sales forecasting, demand planning, product performance, and territory-level projections.
• Apply trend analysis, variance analysis, scenario modelling, and root-cause analysis to explain deviations from business plans.
• Analyse seasonality, brand performance, pricing changes, promotional effectiveness, and market development opportunities.
• Develop early-warning indicators for declining sales, weak market coverage, inventory risks, and deteriorating commercial performance.
• Conduct profitability analysis by state, brand, SKU, depot, and channel in collaboration with Finance.
• Translate complex datasets into actionable business recommendations for the leadership team.
• Evaluate sales schemes, incentives, promotions, and market activation initiatives using defined business metrics.G. Sales Incentive & Productivity Analytics
• Develop frameworks to monitor sales team productivity, spot sales, target achievement, and employee-wise performance.
• Evaluate the effectiveness and financial impact of incentive schemes across states, brands, and employee categories.
• Validate incentive calculations against approved eligibility criteria and underlying sales data.
• Identify unusual claims, data inconsistencies, duplicate records, and exceptions requiring management review.
• Prepare performance summaries for Sales Heads and senior management to support accountability and improvement.
• Integrate sales productivity and incentive reporting with relevant HRMS, attendance, and field-force systems where feasible.H. Dashboard Development & Reporting Automation
• Design interactive executive dashboards using Power BI, Tableau, or equivalent BI platforms.
• Develop automated reporting solutions using advanced Excel, Power Query, Power Pivot, SQL, and relevant data integration tools.
• Build dashboards with drill-down capabilities across state, region, depot, brand, SKU, channel, and sales hierarchy.
• Reduce manual data consolidation and reporting turnaround time through automated workflows and standardised data models.
• Establish data validation rules, reporting definitions, KPI dictionaries, and a single source of truth for management reporting.
• Develop management-ready presentations highlighting performance, risks, opportunities, and recommended actions.I. Leadership & Stakeholder Management
• Lead and mentor the MIS and analytics team, setting clear deliverables, reporting timelines, and quality standards.
• Work closely with Sales, Finance, Manufacturing, Supply Chain, Excise, IT, HR, and other functional stakeholders.
• Present business insights and recommendations during monthly, quarterly, and annual business reviews.
• Establish reporting governance, data ownership, standard operating procedures, and escalation mechanisms across locations.
• Drive data-driven decision-making and improve analytical capabilities within business teams.3. Educational Qualification
• MBA / PGDM / postgraduate qualification in Business Analytics, Data Science, Information Systems, Finance, Operations, or a related discipline from a premier institute; or
• B.E. / B.Tech. / equivalent technical qualification supplemented by relevant analytics experience and, preferably, a postgraduate management qualification.
• Strong analytical reasoning, commercial understanding, and the ability to apply technical expertise to business problems are essential.4. Experience Requirements
• 10–12 years of relevant experience in MIS, Business Intelligence, Commercial Analytics, or Business Analytics.
• Experience in the alcoholic beverages industry is strongly preferred, particularly in organisations with multi-state sales and distribution operations.
• Strong exposure to state-wise sales operations, depot networks, brand and SKU performance, pricing, and distribution analytics.
• Hands-on experience with SAP ERP reporting, preferably SAP ECC or SAP S/4HANA.
• Demonstrated experience developing automated management dashboards and advanced analytics solutions.
• Experience handling large datasets and presenting actionable insights to senior management.
• Proven ability to manage cross-functional stakeholders and lead an MIS or analytics team.5. Essential Technical Competencies
• SAP ERP: SAP ECC / SAP S/4HANA, with practical exposure to SD, FI/CO, and MM reporting.
• Power BI / Tableau: Advanced dashboard development, data modelling, DAX where applicable, and BI reporting.
• Microsoft Excel: Advanced formulas, Power Query, Power Pivot, pivot tables, and automated reporting.
• SQL: Advanced querying, joins, aggregations, data extraction, and data validation.
• Advanced Analytics: Statistical analysis, predictive modelling, sales forecasting, scenario analysis, and performance diagnostics.
• Data Integration: Integration of SAP, sales systems, depot data, and other enterprise sources.
• Executive Reporting: Business review presentations, KPI design, variance analysis, and management recommendations.6. Key Performance Indicators (KPIs)
• MIS Accuracy and Timeliness: Adherence to reporting schedules and accuracy of management reports.
• Reporting Automation: Reduction in manual reporting effort and turnaround time.
• Sales Analytics Effectiveness: Quality and relevance of state-wise, brand-wise, depot-wise, and employee-wise insights.
• Forecasting Accuracy: Improvement in sales and demand forecast reliability.
• SAP Data Reconciliation: Timely resolution of discrepancies between SAP and operational reporting.
• Inventory and Distribution Visibility: Effectiveness of stock monitoring, exception reporting, and distribution analysis.
• Business Intelligence Adoption: Usage and effectiveness of dashboards by senior management and functional teams.
• Commercial Insights: Quality of profitability, product mix, pricing, and sales productivity analysis.
• Regulatory Data Governance: Accuracy, completeness, and timely availability of relevant state-wise excise and compliance information.
• Team and Process Excellence: Improvement in reporting standards, team productivity, and data governance.7. Preferred Candidate Profile
• An experienced analytics professional with a strong academic background, preferably from a premier institute, and a combination of SAP expertise, advanced analytics capability, and commercial understanding of the Indian alcobev industry.
• Capable of independently managing PAN India business reporting, analysing complex sales and operational data, identifying performance gaps, and presenting strategic recommendations to senior management.
• Able to move beyond conventional MIS reporting and build an integrated, automated, analytics-driven management information system supporting profitable growth, commercial controls, distribution efficiency, and effective business planning.