Hi, I’m
Nikitha Nayana S
Product Analyst - L2
Bengaluru,KA
Summary
Analytical professional with expertise in managing multi-market datasets and designing scalable data pipelines using SQL and BigQuery. Proficient in Python (Pandas, NumPy) for automating reporting workflows and improving analytical efficiency across cross-functional teams. Experienced in driving data migration and process optimization initiatives that strengthened data governance, reliability, and cost efficiency. Skilled in collaborating with product, engineering, and business stakeholders to transform analytical insights into actionable strategies that enhance performance and support data-driven decision-making across global operations.
Overview
2
years of professional experience
Work History
CommerceIQ
Product Analyst - L2
11.2024 - Current
Job overview
- Architect and optimize scalable data models using advanced SQL and BigQuery, designing analytical pipelines that process multi-market datasets and enhance data accuracy, query performance, and overall business visibility across global operations.
- Develop and maintain Python-based automation frameworks in Google Colab and Jupyter environments, utilizing libraries such as Pandas, NumPy, and Matplotlib to streamline data validation, reporting, and model evaluation workflows, resulting in notable reductions in manual effort and improved analytical efficiency.
- Play a leading role in a key migration initiative that modernizes legacy data crawling systems into a unified internal analytics platform significantly improving scalability, data reliability, and processing speed while contributing to meaningful cost optimization for the organization.
- Collaborate with cross-functional teams across Product, Engineering, and Business functions to translate analytical insights into strategic initiatives, supporting roadmap decisions, LBA optimization, and measurable operational improvements.
- Contribute as part of the core Product Analytics team responsible for onboarding and analytical governance of enterprise clients including Coca-Cola, Mondelez, PepsiCo, and LEGO, ensuring accurate data synchronization, KPI alignment, and consistent delivery excellence.
PowerSchool
Associate Technical Engineer
03.2024 - 11.2024
Job overview
- Leverage advanced SQL and large scale data analysis to identify performance trends, validate client data integrity, and uncover actionable insights that strengthen decision making and elevate SaaS product performance across multiple business environments.
- Build and maintain dynamic data models and dashboards using Google Sheets and advanced analytical techniques applying complex formulas, pivot structures, and data transformations to monitor KPIs, streamline workflows, and enhance reporting precision.
- Deliver high value analytical consulting for U.S. enterprise clients, integrating technical problem solving with data driven recommendations to improve accuracy, optimize performance outcomes, and maintain exceptional service standards for "white-glove" accounts.
HP Inc.
Technical Support Engineer
09.2023 - 03.2024
Job overview
- Delivered high-impact technical support to U.K. B2B clients by diagnosing and resolving complex hardware, software, and networking issues, ensuring minimal downtime and superior customer satisfaction through clear and confident business communication.
- Managed data-driven reporting and documentation using MS Excel and internal support tools, tracking issue trends, performance metrics, and client interactions to improve service efficiency and strengthen long-term client relationships.
Education
Dayananda Sagar Academy of Technology And ManagementBengaluru, India
Bachelor of Engineering (B.E.) from Electronics and Communication Engineering
01.2023
Skills
- SQL
- Python
- BigQuery
- Data Modeling
- Automation & ETL
- Business Analytics
- Data Governance
- Advanced Google Sheets (Formulas, Pivots, Dashboards)
- Cross-Functional Collaboration