Management Information Systems Manager

JOB TITILE : Deputy Manager/Manager - MIS1. Job PurposeTo 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 ResponsibilitiesA. PAN India Sales MIS & Performance AnalyticsDevelop 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 AnalyticsAnalyse 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 ReportingDemonstrate 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 AnalyticsMonitor 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 AnalyticsDevelop 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 IntelligenceDevelop 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 AnalyticsDevelop 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 AutomationDesign 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 ManagementLead 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 QualificationMBA / PGDM / postgraduate qualification in Business Analytics, Data Science, Information Systems, Finance, Operations, or a related discipline from a premier institute; orB.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 Requirements10–12 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 CompetenciesSAP 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 ProfileAn 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.