Piyush Rathore

Associate Consultant

Bengaluru, Karnataka, India9 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Proven track record in data governance and analytics.
Expert in managing cross-functional teams across multiple regions.
Skilled in developing automated reporting solutions.

Stackforce AI infers this person is a Data Analyst with expertise in Data Governance and Analytics within the SaaS industry.

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Skills

Core Skills

Data QualityData GovernanceProject ManagementData AnalysisBusiness AnalysisPythonData AutomationReportingData Visualization

Other Skills

SQLPython (Programming Language)PostgreSQLAWS S3RDSVBAExcelPowerPointOutlookFTPS3Microsoft ExcelAzure DatabricksPlayer InsightsAmazon S3

About

Experienced data analyst with a proven track record in data governance, insights generation, data analytics and project management. Acknowledged for adeptly overseeing projects from start to finish and driving the development of strategic plans. Demonstrated ability in leading and collaborating closely with diverse teams. Proficient in Python, SQL, VBA, Excel, Tableau, and more. Experienced in managing cross-functional teams, stakeholders, and clients across US/EU/India. Currently working as Senior Data Integrity Analyst at RSG India.

Experience

9 yrs

Total Experience

3 yrs

Average Tenure

3 yrs 6 mos

Current Experience

Rockstar games

2 roles

Associate Principal Data Integrity Analyst

Promoted

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India

Senior Data Integrity Analyst

Oct 2022 – Dec 2025 · 3 yrs 2 mos · Bengaluru, Karnataka, India

Collaborated with Data Scientists, Data Engineers, and Data Governance teams to ensure data quality across raw data, data models and reports.
Built parameterised QA checks to streamline data quality monitoring, validation, and issue resolution.
Explored and validated newly ingested datasets to identify inconsistencies, anomalies, and unexpected patterns.

SQLPython (Programming Language)Data QualityData Governance

Zs

3 roles

Business Technology Solutions Consultant

Jul 2022 – Oct 2022 · 3 mos

Project ManagementPython (Programming Language)

Business Technology Solutions Associate Consultant

Promoted

Jan 2020 – Jun 2022 · 2 yrs 5 mos

Technical lead for analytics projects from offshore for pharmaceutical clients across US, EU & India.
Incentive Compensation Plan Design
Developed a Python based solution to assist pharma clients in designing incentive plans for sales reps to compensate them based on their sales performance in respective territories.
Tech. stack: Python, SQL, AWS S3, RDS, business analysis, data visualization.
Reporting Ecosystem – E2E Process Automation
Created a Python-based ecosystem consisting 50+ configurable widgets across 7 modules for end-to-end automation of various reporting process ETL, Data QA/QC, report generation, delivery etc.
Tools & Tech stack: Python, SQL, VBA, Excel, PowerPoint, Outlook, FTP, S3.

Python (Programming Language)PostgreSQLData AnalysisBusiness Analysis

Business Technology Solutions Associate

Jul 2017 – Dec 2019 · 2 yrs 5 mos

- Tech. stack & skills: Excel, VBA, data visualization, reporting, dashboarding.

Microsoft ExcelPostgreSQLData Visualization

Skoda india

Intern

Jan 2017 – Jun 2017 · 5 mos · Mumbai Area, India

Worked with After Sales department at Skoda Mumbai. There I had worked with Skoda workshops to track the cars pending in service outlets. I have also worked in creating the initial tool kit for the upcoming car, Skoda Kodiaq.

Minda corporation limited

Summer Intern

May 2015 – Jul 2015 · 2 mos · Pune

This opportunity me gave an exposure to the industrial world. There, I have done 3 projects under Production Department to know about the production processes at the assembly area. The 3 projects were based on:
Cycle Time Analysis of various Assembly Lines. Suggested few activities to reduce the cycle time of TVS Jupiter line.
Packaging Cost Analysis of 10 assembly lines to improve packaging processes and cut the costs.
Defect Analysis of 2 assembly lines to know about the rejections at each work station and the root cause of those rejections.