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Associate Manager - Data Science & Analytics (O5)

Business: Adani Group
Department: Digital Transformation / Data Science & Analytics
Location: Ahmedabad / Mumbai / Project Locations

Key Responsibilities Data Analytics & Business Intelligence

- Analyze large and complex datasets from multiple sources to generate actionable business insights.
- Design and develop dashboards, KPIs, scorecards, and reporting frameworks for leadership review.
- Establish data governance standards, data quality controls, and reporting accuracy mechanisms.
- Conduct trend analysis, forecasting, and root-cause analysis to support key business decisions.

Data Science & Machine Learning

- Develop predictive and prescriptive analytics models to improve business outcomes.
- Build and deploy Machine Learning (ML) and Artificial Intelligence (AI) solutions for various business functions.
- Work on demand forecasting, risk analytics, productivity optimization, cost reduction, and resource utilization models.
- Evaluate emerging AI technologies and recommend innovative use cases across the organization.

Data Engineering & Automation

- Collaborate with technology teams to build scalable data pipelines and analytics platforms.




- Automate recurring reports and analytical processes using advanced data tools.
- Ensure seamless integration of data across ERP, CRM, HRMS, Project Management, and operational systems.

Stakeholder Management

- Partner with Business Heads, Functional Leaders, and Project Teams to understand analytical requirements.
- Translate business challenges into data science use cases and measurable outcomes.
- Present analytical findings and recommendations to senior leadership in a explicit and impactful manner.

Innovation & Digital Transformation

- Drive AI-led digital transformation initiatives across business units.
- Identify opportunities for process optimization through advanced analytics.
- Benchmark industry best practices and implement innovative analytical frameworks.

Required Qualifications

- B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
- Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.

Experience

- 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
- Experience working on enterprise-scale analytics projects.
- Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.





Technical Skills

- Strong proficiency in Python, R, SQL, and data analytics tools.
- Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications.
- Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems.
- Understanding of data warehousing, ETL, and data governance frameworks.

Behavioral Competencies

- Strategic Thinking
- Business Acumen
- Analytical & Problem-Solving Skills
- Stakeholder Management
- Innovation & Continuous Improvement
- Leadership & Team Collaboration
- Result Orientation
- Communication & Presentation Skills

Key Deliverables

- Enterprise Analytics Strategy Execution
- AI & Machine Learning Solution Deployment
- Automated Reporting & Dashboarding
- Predictive Analytics Models
- Data Governance Compliance
- Business Insight Generation
- Operational Efficiency Improvements
- Digital Transformation Enablement

Grade: O5 - Associate Manager

Required Qualifications

- B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
- Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.

Experience

- 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
- Experience working on enterprise-scale analytics projects.
- Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.

📌 Lead - Data Sciences & Analytics (Mumbai)
🏢 Adani Group
📍 Mumbai