Nikhil N

Results-driven BI Tableau Developer / Data Analyst with around 5 years of experience delivering end-to-end data analytics, sales funnel optimization, and executive decision support. Expert in Advanced SQL, Tableau, Excel, and Python (Pandas, NumPy) for deep-dive exploratory data analysis, forecasting, and revenue growth strategies. Proven track record of empowering sales leadership with high-impact reporting, optimizing conversion funnels, and collaborating with Data Engineering teams to streamline data pipelines and analytical infrastructure.

Senior Data Analyst / Tableau Specialist at TekWissen (2026-06 – 2026-08)

• Empowered leadership by designing four enterprise Tableau dashboards tracking commercial sales performance, key segment metrics, and revenue growth KPIs.
• Wrote optimized SQL queries using CTEs and window functions in cloud databases to extract, validate, and structure sales and operational datasets.
• Leveraged Python (Pandas, NumPy) and Tableau Prep to automate recurring reporting workflows, reducing manual data processing overhead by 35%.
• Performed ad-hoc deep-dive analyses to evaluate campaign performance, identifying process bottlenecks and revenue optimization opportunities.

Data Analyst / BI Analyst at Pinnacle Group (2024-12 – 2025-05)

• Partnered directly with cross-functional sales, marketing, and product leadership to translate strategic business objectives into actionable visual solutions.
• Built 10+ interactive dashboards in Tableau and Power BI tracking sales funnel performance, customer acquisition costs, conversion rates, and web engagement.
• Supported target setting and sales capacity planning by conducting statistical data profiling and cohort analysis in Python and Excel.
• Led requirements gathering and user walkthroughs, leveraging strong data storytelling to drive data adoption across business units.

Data Analyst / Tableau Developer at Wipro (2019-07 – 2024-11)

• Sales Performance & Revenue Analytics (Feb 2024 – Nov 2024): Partnered with Data Engineering to structure scalable data models in AWS; optimized SQL data extraction queries to improve load speeds by 25%.
• Customer Behavior & Funnel Analytics (Nov 2022 – Jan 2024): Analyzed Snowflake and GCP data using Python (Pandas) and SQL to identify customer retention patterns and drop-off points in the purchasing funnel.
• Operational Ad-hoc Analytics (Feb 2021 – Sep 2022): Validated commercial data using Python scripts; generated predictive trend analysis to support quarterly forecasting and capacity planning.
• Associate Data Analyst (Sep 2019 – Dec 2020): Analyzed multi-source retail datasets, built custom Excel dashboards, and executed SQL data cleaning workflows.

Bachelor of Technology in B.Tech – Vignana Bharathi Institute of Technology, India (2016 – 2019)