Senior Business Intelligence Analyst

Location: Bengaluru

Senior BI Analyst

Role Overview
The Senior BI Analyst plays a critical role in driving supply chain analytics by building key tools or applications and owning end-to-end reporting, data modeling, and data pipeline development that lead to insights and automations based on deep business domain knowledge that drive user efficiency. This role works closely with Business, Supply Chain, cross functional partners such as MP&A, Finance, Merchandising and IT teams to translate business requirements into scalable data solutions and actionable insights.
The individual is expected to independently manage projects, deliver tools/applications, datasets, build robust reporting layers, and ensure data reliability across systems. In addition to executing analytics, the Sr. BI Analyst contributes to improving system and data architecture, standardizing KPIs, improving data quality and enabling self-service analytics.
This role acts as a  “Builder” , strengthening the analytics foundation while mentoring junior analysts and improving business user effectiveness and productivity.

Core Responsibilities (Day-to-Day)
Analytics & Reporting:  Design, develop, and manage supply chain tools, optimizations, dashboards and reports using tools such as SQL, Snowflake, Micro Strategy, Python, and Sigma. Ensure accurate tracking of supply chain KPIs and provide actionable insights to stakeholders.
Answer business problems using a mix of Explanatory and Exploratory Analysis and Storytelling using Visualization.
Present findings to stakeholders in an easily consumable manner.
Dashboard Maintenance & Monitoring:  Design, initiate, maintain and enhance reporting assets based on converting data into insights. Proactively identify anomalies or data inconsistencies.
Data Engineering & ETL:  Develop and optimize SQL-based data pipelines in Snowflake or other tools. Structure datasets for scalability, performance, and reusability. Architect and implement scalable data pipeline solutions to optimize analytical frameworks and accelerate innovation and business insight
Data Management & Validation:  Collect, clean, and validate data from Enterprise Systems (e.g., SAP/Centric/Salesforce/Line Planning) and other sources.
Domain Expertise :
Work with business and product managers to influence tool and analytics roadmap to build capabilities ahead of business needs. Keep up to date understanding of business usage, the business processes it supports, data meaning and future capabilities required by the business to drive competitive advantage
Data Quality & Governance
Participate in data governance activities, including dataset documentation, metadata maintenance, and data quality checks.
Identify data issues and support root cause analysis efforts in partnership with senior team members.
Help maintain curated datasets and support publishing content to the enterprise data catalog.
Semantic Layer Development:  Lead the creation of standardized data models and semantic layers to enable self-service analytics.
Enterprise Integration Support:  Integrate data from Enterprise Systems to ensure seamless data flow, improved visibility, and consistency across business functions. Work with IT organization to ensure data dictionary, data usage and corporate standards are met.
Business Application Development:  Leverage low-code tools such as Sigma, Salesforce, Power Automate and Python to build lightweight applications that improve internal workflows and reduce manual effort. Continue to refine existing processes and tool to reduce user friction, improve efficiency and performance

Innovation:  Leverages cutting edge technologies to creatively solve business challenges. Stays current with technology innovation.
Cross-functional Enablement:  Partner with…