Open to opportunities

shuklima misra

@shuklimamisra

Message

Lead Data Analyst focused on trusted data accuracy, SQL pipeline monitoring, and Power BI insights.

India

Message

What I'm looking for

I’m looking for a role where I can own data accuracy end-to-end—SQL pipeline monitoring, RCA, UAT/validation, and Power BI insights—partnering with stakeholders to improve data governance and drive measurable product impact.

I’m a data professional with 7+ years of experience ensuring data accuracy, consistency, and integrity in large-scale enterprise environments. I specialize in SQL-based pipeline monitoring, root cause analysis, audit creation, and process improvement, so downstream teams can rely on the data they receive.

In my current role as Lead Data Analyst at S&PGlobal Market Intelligence, I spearheaded the BDC Auto extraction process and quality-checked 215 system-generated company datasets, achieving 98% accuracy for automated extraction across 3,000 companies. I also led Security Harmonization UAT by creating manual test plans for 46 user stories, escalating ~36 bugs, and verifying fixes to deliver improved data accuracy and engagement.

Previously, as a Data Researcher III, I developed Power BI dashboards for real-time pipeline SQL monitoring and designed 150+ SQL pipeline queries to ensure data consistency. I proactively identified and escalated Kibana service errors, supporting corrections of large record volumes, and performed structured RCA that increased data coverage.

My approach is practical and partnership-driven—I gather stakeholder requirements, validate through UAT & validation, and continuously drive exception monitoring, regression testing, and governance-ready processes. I’m energized by turning complex pipeline issues into clear fixes, measurable improvements, and trusted data delivered at speed.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Analyst

Current

S&P Global Market Intelligence

Jan 2025 - Present (1 year 5 months)

Spearheaded BDC auto-extraction by quality-checking 215 system-generated datasets and achieving 98% accuracy, enabling automated extraction for 3,000 companies. Built 25 SQL stored procedures for MACE automation, reducing manual data monitoring by 70%, and led Security Harmonization UAT across 46 user stories to reach 70% data accuracy with a 30% engagement lift.

Data Quality Management SQL Stored Procedures Root Cause Analysis Data Governance Power BI Python Data Integration

Data Researcher III

S&P Global Market Intelligence

Apr 2022 - Dec 2024 (2 years 8 months)

Developed 2 Power BI dashboards for pipeline SQL monitoring, improving product prioritization and data coverage by 30%. Designed and monitored 150+ SQL pipeline queries and led incident escalations that corrected ~500K records and improved processes by 40%, including resolution of 14K transaction IDs and ~400K security mapping record corrections.

Power BI SQL Pipeline Monitoring Data Quality Management Root Cause Analysis Data Cleaning Data Integration Kibana Error Handling

Data Researcher II

S&P Global Market Intelligence

Jul 2019 - Mar 2022 (2 years 8 months)

Led root cause analysis initiatives that reduced recurring errors by 40% and standardized a vendor escalation process across 2 workflows, improving BOT capabilities across 3 processes. Built dashboards and policy documentation shared with senior stakeholders, achieving a 40% workflow efficiency improvement.

Root Cause Analysis Data Quality Management Workflow Optimization Performance Dashboards Stakeholder Management Process Improvement Policy Documentation

Data Researcher I

S&P Global Market Intelligence

Jan 2019 - Jun 2019 (5 months)

Managed third-party data ingestion (ANNA, CGS, LSE, Bloomberg) and performed daily quality checks, training 6 colleagues on the Overdue Job process. Improved Security Management KPIs from 30% to 70% in 3 months through systematic weekly analysis and tracking.

Data Ingestion Data Quality KPI Tracking Weekly Analysis Training & Enablement Process Management Security Management