Sudhir Rai

Business Development Executive

Mountain View, California, United States10 yrs experience
Highly Stable

Key Highlights

  • 7+ years of experience in data-driven decision making.
  • Expertise in SQL, Python, and Tableau for analytics.
  • Proven track record in optimizing data processes.
Stackforce AI infers this person is a SaaS and Fintech analytics expert with strong data engineering skills.

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Skills

Core Skills

Business Intelligence (bi)Product AnalysisBig Data Analytics

Other Skills

Agile & Waterfall MethodologiesAgile MethodologiesAmazon Web Services (AWS)AnalysisAnalyst RelationsBEx AnalyzerBEx ReportingBigQueryBusiness AnalysisCloud ComputingCustomer Relationship Management (CRM)Data AnalysisData MiningData ModelingData Pipelines

About

Product Analyst | Data Analyst | BI Analyst | Analytical Engineering Enthusiast Versatile analytics professional with 7+ years of experience driving business and product decisions through data. Skilled in A/B testing, KPI tracking, ETL pipelines, and dashboard automation, with proven expertise in SQL, Python, Tableau, and BigQuery. Adept at blending product analytics to improve user engagement and feature adoption, with business intelligence skills to deliver operational insights and process optimizations. Collaborative partner to product, engineering, and business teams, turning complex data into clear, actionable strategies. Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills, as well as revenue enhancement, process enhancement, and information technology expertise. I’m a disciplined, well organized critical thinker driven by a passion to use data and BI technologies to draw insights and drive business performance. Technical Skills: • Data & Analytics: SQL (BigQuery, MySQL, Dremel), Python, SAS, A/B Testing, Experiment Design, Predictive Analytics • Visualization & BI: Tableau, Looker, Power BI, Google Data Studio • Product Metrics: Feature Adoption, Retention Analysis, Churn Prediction, Funnel Analysis • Cloud & Data Engineering: GCP, AWS, ETL Processes, Data Warehousing, Data Cleansing, Cloud Data Pipelines • Business Skills: Stakeholder Management, Data Storytelling, Dashboard Design, Process Optimization, Cross-Functional Collaboration Organizations: Envision - Data Tells Story Sells Intelligent Analytical Society(IAS): Social Media officer Certification: Tableau Desktop specialist- Tableau Tableau Analyst- Tableau Python for Data Science - IBM Links: Tableau Public - https://public.tableau.com/profile/raisudhir/ Thank you for visiting my profile. Contact Email: sudhirrai1502@gmail.com

Experience

10 yrs
Total Experience
3 yrs 1 mo
Average Tenure
8 mos
Current Experience

Motivity labs inc

Senior Business Intelligence Analyst @ Google

Oct 2025Present · 8 mos

Google

Business Data Analyst

Oct 2020Aug 2025 · 4 yrs 10 mos · Mountain View, California, United States · Hybrid

  • Collaborated with cross-functional teams to transform complex datasets into actionable insights, enhancing product strategy and customer experience.
  • Designed and automated SQL and Python dashboards in BigQuery, reducing manual reporting efforts by 30%.
  • Developed ETL processes that optimized data pipelines, achieving an 80% reduction in processing time.
MySQLStakeholder ManagementOperations ManagementPython (Programming Language)Business Intelligence (BI)Product Analysis

Capital one

Data Engineer

Aug 2020Oct 2020 · 2 mos · Dallas, Texas, United States · Remote

  • Developed interactive Tableau dashboards to enhance leadership visibility into digital feature adoption and customer support workflows.
  • Automated ETL pipelines, significantly improving data timeliness and accuracy for strategic decision-making.
  • Collaborated with cross-functional teams to ensure seamless integration of data solutions, driving operational efficiency.
Amazon Web Services (AWS)Analyst RelationsProduct AnalysisStakeholder ManagementBig Data Analytics

Primus global services

Data Analyst

Jul 2019Nov 2019 · 4 mos · Irving, Texas, United States

  • Configured and monitored cloud watch dashboards, billing and performance alarms which decreased 20% cost
  • Grouped resources, organized the billing dashboards to understand cost vs usage by customers using AWS QuickSight
  • Organized the IAM for the team and set up roles with granular permissions
  • Developed a tool which capture images and gives the total count of railcar present at given point of time
  • Generated report to validate and improve billing practices-calculates the inflow-outflow of claimed amount which increased the claim clearance process by 30%
Amazon Web Services (AWS)

Capgemini

Associate Consultant- Data Analyst

Aug 2016Jul 2018 · 1 yr 11 mos · Hyderabad, Telangana, India

  • Transformed, cleansed unstructured financial data using Python, analyzed to understand the various sources for fraudulent transaction and found to be 60% from POS
  • Developed dynamic and interactive dashboards in Power BI to provide tracking of key financial performance indicators
  • Analyzed and confirmed legitimacy of customers fraudulent credit card transactions and updated balance which resulted in increased ongoing transactions by 10%

Wipro

Software Engineer - Data Analyst

Jan 2014Aug 2016 · 2 yrs 7 mos · Hyderabad Area, India

  • Analyzed transactional data collected over different regions, Data cleaning, modelling and filtering done using Python
  • Visualized financial data using Tableau and increased the revenue by 2.7% by decrease in fraud TPIN transaction
  • Developed the dashboard to present type of transaction causing fraud and factors contributing in fraudulent transactions
  • Encrypted Telephone PIN using IBM encryption technique in legacy system to increase the privacy and created a report using SQL to track performance of the system

Education

Naveen Jindal School of Management, UT Dallas

Master of Science - MS — ITM- Business Intelligence and Data Analytics

Jan 2018Jan 2020

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology — Information Technology

Jan 2009Jan 2013

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