Salary
≈ $15k – $30k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 4+ years exp
First seen by Alion on Oct 23, 2026.
Overview
Company
Impact
Profile match
Mahindra Group is a multinational conglomerate with businesses across 21 key industries such as automotive, aerospace, construction, IT, defence, energy, education, etc and operates in 100+ countries.
To strategically lead and support the Business Intelligence function, driving data-informed decision-making across the organisation. This role ensures the effective delivery and continuous evolution of BI solutions using Power BI, Databricks SQL, and PySpark; aligns analytics initiatives with business priorities; and provides expert guidance on modern data engineering, data warehousing, and BI best practices within a scalable Lakehouse architecture.
Responsibilities:
- Lead a team of analysts who facilitate business intelligence.
- Delivery and maintenance of the business intelligence program that will support and fulfil organisational priorities.
- Collaboratively and extensively investigating, analysing and interpreting business information needs based on a strong understanding of business processes, drivers and priorities.
- Working with senior management to develop goals, objectives, and strategies for improving business performance using BI tools.
- Ensure that the use of business intelligence applications using Power BI and Databricks (PySpark, SQL) enhances business decision-making capabilities.
- Providing high-level conceptual and technical expertise and understanding of data warehousing and business intelligence best practices.
- Monitoring industry trends to identify upcoming challenges or opportunities for the organisation.
- Manage subordinate staff in the day-to-day performance of their jobs.
- Working knowledge of using AI tools (Copilot, ChatGPT, Databricks Genie) to assist in SQL, DAX, Python, and BI development.
- Able to write effective prompts to accelerate analysis, automate tasks, and improve productivity in reporting and data engineering workflows.
Decision-Making Authority:
- Decisions made alone - Management/maintenance/bug fixes/stakeholder management.
- All items requiring key architectural calls, investments, or additional expense should be consulted with the manager and above.
Key Challenges:
- Provide approvals for dashboards going live.
- Authorise/Set Permissions of Power BI Dashboards for Users.
- Define users' roles in the Power BI PROD server.
- Define the developer's role in the Power PROD server.
- Actively participate in the hiring process for developers.
Skills
BI, Databricks, Power BI, PySpark, SQL, data warehousing
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