Business insight & Data Analyst

Job description Castrol is a global leader in lubricants and part of the bp Group, one of the worlds largest energy companies. In India, Castrol is a publicly listed company, leading in the Automotive, Industrial, and Marine lubricant sectors. With iconic brands, steadfast innovation, strong customer relationships, and a team of highly motivated employees, we have maintained our market leadership in India for over a century. Our robust manufacturing and distribution network in India helps us reach consumers through more than 135,000 outlets. At Castrol, success knows no bounds. We offer a fast-paced learning environment where you can develop your career, whether in specialized functions or on a general management track. Castrol India has a proud legacy of championing top talent for leadership roles, both locally and globally About the role: As the GME (Global Marine & Energy) Data Analyst, you will provide endtoend analytics, reporting and intelligence support across the GME performance ecosystem, acting as a recognised subjectmatter expert within the data domain. The role focuses on the design, build, maintenance and optimisation of businesscritical Power BI dashboards, reports, data queries and digital tools that support performance management, pricing, sales, operations and finance teams. Working closely with business stakeholders and technology partners (including AWS and Postgres support teams), you will enable adoption, stability and continuous improvement of analytics and intelligence solutions aligned to business strategy, governance and regulatory standards. You will flexibly operate as an SME across initiatives, supporting system changes, organisation redesigns and evolving data needs, while contributing to scalable and sustainable Business Intelligence transformation across GME. Shift Timing: 1:00pm to 10:00pm IST Key Accountabilities: Build, manage and maintain a portfolio of Power BI dashboards and reports, including highusage products such as GME Flash, Project Rigour, Pricing App and a wider standard reporting portfolio Own and prioritise analyticsrelated demand through PBI build and maintenance, balancing enhancement requests, fixes and businesscritical timelines Deliver data queries, mappings and adhoc extracts to support evolving business needs (e.g. customer, account manager and area remapping) Provide superuser governance and support across analytics tools, including access rights management during periods of organisational and system change Act as a key advisor to AWS and Postgres support teams, offering guidance on data structure, reporting logic and user requirements Support PowerApps linked to analytics workflows and ensure solutions remain functional and scalable Contribute to testing, validation and business readiness for system changes and new platforms (e.g. AWS / ORCA implementations) Enable user adoption through targeted training, guidance and daytoday support as tools and datasets evolve Contribute to the Digital, Data & Analytics change backlog, recommending enhancements and improvements based on user feedback and performance insights Act as SME for analytics initiatives across GME, supporting crossfunctional teams and global stakeholders across time zones Apply a solutionfocused mindset to scale global data products while enabling local configuration and flexibility where required Experience Required: Minimum experience 5 years Experience in delivering analytics/BI for business transformation Understanding of data domains across sales, marketing, CRM, ordering, cash collection, dedication, and product portfolio Hands-on with SQL, data sourcing, and cloud architecture Skilled in statistical modeling and ML Experience working with global, multi-functional teams Skills & Proficiencies: Strong documentation skills (scope, critical metrics, test criteria, UAT) Expertise in high-dimensional data modeling PowerBI dashboarding and PoC design Proficiency in Power BI, Power App, Power Automate, SharePoint, SQL, Python Strong influencing and organisational change skills