Lead Business Intelligence and Analytics Engineer at Cognizant Technology Solutions (2021-01 – Present)
Client: Apple Maps | Domain: Operational Analytics, Workforce Planning & Productivity Analytics
- Designed and implemented KPI frameworks measuring productivity, quality, throughput, delivery performance, and operational effectiveness across global Apple Maps operations.
- Partnered with Operations, Product, Planning, and Engineering teams to define business metrics, reporting methodologies.
- Built and owned tracking for Apple Maps' Report-a-Problem (RAP) pipeline, including Time to Resolution and First Contact Resolution, surfacing resolution-speed and quality trends to operations leadership.
- Delivered analytical insights that contributed to improving First Time Pass Rate from 87% to 95%, reducing Cost of Quality from 35% to 20%, and increasing productivity by 12%.
- Led a team of 8 analysts and engineers supporting global operational analytics initiatives across US and India stakeholders, while helping scale the analytics organization from 12 to 32 members through hiring, onboarding, and mentoring.
- Architected an Apple Maps operational analytics platform using Snowflake, dbt, and AWS, creating a standardised metrics.
- Built executive Tableau dashboards tracking throughput, productivity, quality, SLA adherence, workforce utilization, defect trends, and deferred work analysis.
- Developed forecasting and capacity planning models supporting workforce allocation and market-level planning decisions.
- Coordinated business requirements, delivery milestones, and stakeholder communications across cross-functional teams.
- Presented operational performance reviews, Plan vs Actuals, KPI trends, and strategic recommendations to leadership.
- Developed scalable data ingestion and transformation frameworks and data pipelines using DAG's integrating multiple operational data sources, enabling timely and accurate reporting for business and executive stakeholders.
- Integrated Generative AI (Claude LLM) into data engineering workflows, boosting developer velocity and reducing SQL/Python development and pipeline debugging cycles by approximately 20%.
Senior Data Analyst at Ernst & Young India (EY) (2018-07 – 2020-12)
Client: EY Internal Finance Transformation | Domain: Financial Reporting & Accounting Analytics
- Automated end-to-end ETL pipelines for financial datasets including Trial Balance and Chart of Accounts, reducing financial statement preparation time from days to hours and eliminating manual reconciliation effort for the finance team.
- Designed KPI-driven financial reporting solutions supporting executive decision-making across 10+ legal entities and multiple geographies.
- Architected a multi-layered data platform serving both regulatory consolidation and management analytics from a single governed source, supporting reporting across 10+ legal entities and multiple geographies.
- Built modular SQL transformation layers in SQL Server and Azure for intercompany eliminations and multi-GAAP adjustments, enabling repeatable, audit-ready period-over-period financial analysis for senior finance stakeholders.
- Delivered executive and regulatory reporting via SSRS and Tableau, creating standardized documentation that cut audit preparation cycles and improved reporting accuracy across global entities.
- Developed financial dashboards and executive reporting solutions supporting leadership across multiple entities.
Senior Business Analyst at Tredence Analytics (2018-01 – 2018-07)
Client: Walmart | Domain: Workforce Analytics
- Developed workforce analytics solutions enabling leadership teams to track productivity, training effectiveness, completion rates, skill development, and workforce performance across large-scale retail operations.
- Designed reporting frameworks supporting workforce planning and operational decision making across large operations.
Senior Business Intelligence Engineer at Accenture (2015-07 – 2018-01)
Client: Shell | Domain: Supply chain and Procurement Analytics
- Developed enterprise analytics and reporting solutions using SAP BW/HANA and Tableau, enabling procurement and supply chain teams to monitor spend, supplier performance, and operational KPIs across multiple business units.
- Designed dimensional models, OLAP cubes, reporting datasets supporting 200+ business users and self-service analytics.
- Improved dashboard response times by ~30% through SAP HANA performance optimization, enhancing queries.
- Automated ETL workflows and data refresh processes, ensuring reliable and timely delivery of business-critical reports.
Business Intelligence Analyst at Wipro Technologies (2013-02 – 2015-07)
Client: National Grid | Domain: Supply chain and Operational Analytics
- Developed and maintained SAP BW reporting solutions and analytical datasets supporting Finance, Procurement, and Supply Chain stakeholders across multiple business domains.
