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Strong employer brand plus a common mid-level analytics manager profile increases applicant competition.
Core analytics and ERP/supply-chain skills transfer across industries, though automotive domain knowledge is advantageous.
Explicit 5–8 years plus mandatory SAP/ERP, BI and data architecture experience makes screening stringent.
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Lead development and integration of enterprise analytics dashboards and digital solutions to drive data-led decision-making across sales, supply chain, inventory, and aftermarket functions.
Manage end-to-end analytics and digital transformation projects including requirement gathering, solution design, automation implementation, and stakeholder engagement within the Spares Business Unit.
Establish scalable data architecture, KPI governance, process optimization, and data governance frameworks to improve business outcomes and operational efficiency.
5 to 8 years of progressive experience in analytics and digital transformation, preferably in automotive, auto equipment, or auto components industry.
MBA (preferably from reputed institution) and Bachelor of Engineering in Computer Science, IT, Industrial Engineering, or related fields.
Proven experience with SAP, ERP, supply chain systems, and data visualization tools like Power BI; working knowledge of SQL and cloud analytics platforms preferred.
Not explicitly mentioned in the JD: Notice period or strict location requirements.
Experienced in managing large-scale analytics and digital transformation projects across multiple business functions with measurable business impact.
Strong blend of technical expertise (data visualization, ETL, AI/ML technologies) and business acumen for translating business challenges into scalable digital solutions.
Proficient in stakeholder management including senior leadership and cross-functional teams, with a disciplined approach using Lean, Six Sigma, and Agile methodologies.