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Job Description & How to Apply Below
Data Analyst
Experience Required :
Overall Experience 4-7 years
Minimum 2-3 years of hands-on experience in BI/dashboarding tools (Power BI, Looker Studio, or equivalent)
Experience working with ERP/CRM data (SAP SD/MM or equivalent) strongly preferred
Role Summary
The Data Analyst will be responsible for translating the Group’s data - spanning customer/stakeholder data (Teachers, Schools, Retailers, Distributors, Vendors, Partners) and factory operations data (production, dispatch, inventory, material movement) - into actionable business insights. The role owns dashboard and report development across CRM and ERP systems, surfacing coverage metrics, campaign engagement, operational efficiency, data health scores, and compliance status for SBU heads, plant leadership, and senior management.
The position works closely with the Data Management Lead, Governance Lead, Marketing Automation Lead, and SBU stakeholders to ensure data is structured, accurate, and presented in a way that drives decision-making across the organisation.
Key Responsibilities
Dashboard & Reporting
Design, build, and maintain dashboards and reports (Power BI / Looker Studio / equivalent BI tools) covering coverage metrics, campaign engagement, operational performance, data health, and compliance status across customer and factory datasets.
Translate raw CRM, ERP, and factory operations data into business-ready KPI views for SBU heads, plant leadership, and senior management.
Build and maintain a Master Dashboard consolidating departmental views into a single navigation hub for organisation-wide visibility.
Apply DAX, Power Query, and data modelling best practices (star schema, row-level security) to ensure dashboards are scalable, secure, and performant.
Data Analysis & Insights
Conduct customer/stakeholder segmentation analysis across Teachers, Schools, Retailers, Distributors, Vendors, and Partners to identify trends, inactivity, and engagement patterns; present findings and recommendations to leadership.
Analyse factory operations data - production output, dispatch, material movement, and inventory - to identify inefficiencies, optimisation opportunities, and cost-saving areas (e.g. slow-moving stock, process bottlenecks, vendor price variations).
Sanitise and centralise data from disparate CRM, ERP, and factory systems into a single, governed source of truth - ensuring consistent definitions, eliminating duplicate/conflicting records, and enabling unified reporting across the organisation.
Perform data cleansing, deduplication, and validation across CRM, ERP, and factory systems to maintain data quality and integrity.
Conduct exploratory and variance analysis to flag anomalies, policy violations, or process gaps for resolution by the relevant function (Data Management Lead, Governance Lead, SBU teams, or plant operations).
Support ad-hoc analytical requests from SBU heads, plant leadership, and senior management with quick-turnaround data pulls and visualisations.
Data Integration & ETL
Build and maintain ETL pipelines to extract, cleanse, and load data from CRM, ERP, marketing automation, and factory operations systems into reporting tools.
Maintain unique key mapping and data integration logic across systems to eliminate data silos and ensure a single source of truth for stakeholder data.
Coordinate with the Data Management Lead on data quality rules, validity standards, and master data structure to ensure reporting reflects the governed data model.
Stakeholder Support & Coordination
Gather reporting requirements from SBU heads, departmental teams, and leadership; translate business questions into dashboard and KPI specifications.
Support the Marketing Automation Lead with campaign performance reporting and ROI analysis across Whats App, email, and SMS channels.
Document dashboard logic, data definitions, and reporting SOPs to ensure consistency and ease of handover.
Train SBU users on self-service dashboard usage where applicable.
Qualifications
Bachelor’s degree in any discipline; preference for Engineering, Statistics, Commerce, or Computer Applications
MBA or equivalent specialisation in Business Analytics / Data Science is…
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