Sankalp Anand
Senior Analyst
About Me
Most business problems don’t come clearly defined—they show up as vague asks, shifting expectations, and reports that people don’t fully trust.
I work with product, analytics, and data engineering teams to bring structure to those situations.
My work focuses on:
🟆 analyzing large datasets using SQL to identify trends and performance gaps
🟆 building Power BI dashboards to track sales, inventory, and operational KPIs
🟆 using Python for data cleaning, exploration, and improving data reliability
A big part of my work is making sure what gets built actually matches the business need—whether that’s improving how requirements are defined, reducing rework, or making reporting more consistent and reliable.
I see my role at the intersection of business and data—where the goal isn’t just to build dashboards, but to create clarity. When that’s done right, teams stop questioning the numbers and can focus on making decisions with confidence.
2
PowerBI Projects
1
SQL Project
1
Machine Learning Project
1
Python Project
Key Skills
My Projects
My Experience
Senior Analyst (BI) || TREK Bicycles, Gurugram, India || Oct 2025 - Jan 2026
- Drove BI delivery across 3 Agile squads (14+ stakeholders) by owning analytics requirements and standardizing Power BI data models, reducing analytics rework by 30% and improving sprint delivery predictability by 25%.
- Defined analytics logic, dimensional model structures, and data validation standards across product, finance, and supply chain reporting, ensuring consistency in KPI reporting and downstream consumption.
- Mentored 2 junior analysts on SQL optimization, DAX best practices, and data modeling, improving code quality and reducing onboarding dependency through structured reviews and documentation.
- Partnered with data engineering teams on Azure Databricks to validate ELT pipeline outputs across bronze, silver, and gold layers, improving data reliability before BI consumption.
- Engineered a market-comparison framework in SQL to extract and profile ERP datasets across Singapore, Thailand, and Sri Lanka, ensuring data completeness before analysis.
- Developed Power BI dashboards with DAX-based KPIs (growth rate, inventory turnover, forecast accuracy), implementing Row-Level Security (RLS) to support 8+ stakeholders and increase analytics adoption by 35%.
- Executed data reconciliation against source systems and led UAT sessions with Sales, Finance, and Supply Chain teams, improving data reliability and stakeholder confidence in reporting outputs.
- Delivered APAC expansion analytics to senior leadership, informing the decision to prioritize Thailand as the expansion market based on measurable sales momentum and forecast reliability.
Business Intelligence Analyst || TREK Bicycles, Gurugram, India || Dec 2024 – Sep 2025
- Engineered complex SQL queries utilizing CTEs, window functions, and multi-table joins to analyze large operational datasets (5M+ rows), reducing reporting latency by 40% by replacing manual extraction methods.
- Built and maintained ETL/ELT workflows using Python (Pandas, NumPy) to process data from JDE ERP and ecommerce sources, reducing data preparation effort by 4 hours per weekly cycle and improving dataset reliability.
- Developed Power BI dashboards integrated with Power BI Service, enabling automated refresh and consistent KPI reporting, improving data accuracy by 30% through structured validation checks.
- Partnered with the data engineering team to test Azure Databricks pipelines, validating Spark-processed datasets against source-system records and documenting discrepancy resolutions for governance compliance.
- Served as the primary BI expert, partnering with WebTech, Data Integration, and ERP teams to design SQL-based analytics logic and Power BI reporting models for a customer self-service returns platform.
- Executed trend and variance analysis to identify critical bottlenecks in refund processing, specifically delays within validation and approval workflows.
- Built automated KPI tracking to surface these inefficiencies, driving targeted process optimizations that reduced refund cycle time by 50% and manual intervention by 40%.
Associate Analyst || NEP India Pvt. Ltd., Gurugram, India || Feb 2022 – Nov 2024
- Analyzed audience viewership datasets using SQL to identify consumption patterns, contributing to 11% increase in ratings and 4% revenue uplift.
- Built real-time Power BI dashboards to monitor signal latency, eliminating manual log reviews and ensuring adherence to SLA targets across live events.
- Developed a system log monitoring workflow to detect and escalate technical failures, reducing unplanned downtime by 20% and improving incident resolution time (MTTR).
- Partnered with production, engineering, and operations teams to translate business SLAs into measurable data tracking thresholds, improving monitoring consistency.
- Standardized operational reporting workflows using SQL and Excel, ensuring consistent metric definitions and reducing manual effort by 30%.
Assistant Broadcast Engineer || NEP India Pvt. Ltd., Gurugram, India || Dec 2017 – Jan 2022
- The broadcast operations role focused on system monitoring and live event execution.
- Developed Excel-based trackers to monitor equipment performance and maintenance schedules, providing early data visibility into failure patterns.
- Coordinated kit preparation and logistics for off-site productions, ensuring hardware availability aligned with project timelines and delivery milestones.
- Mentored interns and junior staff on configuration protocols, standardizing troubleshooting steps to reduce setup errors and improve operational consistency.
Awards & Certificate
Let's Work Together!
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.