Summary
Overview
Work History
Education
Skills
Languages
Websites
References
Timeline
Generic
Supriya Hinge

Supriya Hinge

Overland Park,KS

Summary

Highly skilled Senior Data Analyst proficient in interpreting complex datasets, drawing conclusions and driving actionable strategies. Strong grasp of statistical analysis, predictive modeling, data mining techniques paired with ability to communicate findings effectively to stakeholders. Notably, have led successful projects resulting in improved business outcomes through insightful analytics and advanced data-driven decision making.

Overview

9
9
years of professional experience

Work History

Senior Data Analyst

Nile Group | Client - Comcast
11.2024 - Current
  • Mentored and led a team of 3 data analysts in domain-specific analytics to develop a scalable data strategy, streamlining data integration and improving accessibility.
  • Architected customer experience data marts in Snowflake, integrating Xfinity usage, subscriptions, and digital engagement data from Amazon Marketing Cloud, Google Ads, and Facebook Ads.
  • Modernized ETL workflows with Alteryx Designer, building reusable macros and error-handling routines that powered analytics on video on demand performance and service reliability metrics.
  • Developed Tableau dashboards used by regional operations teams to track network uptime, set-top box error trends, and call center case volumes, improving response time by 40%.
  • Created churn risk prediction models using Python (Pandas, Scikit-learn) on subscription and usage behavior, influencing targeted retention campaigns across customer segments.
  • Designed Snowflake reporting views integrating Xfinity product usage, customer plan tiers, and marketing response data to support executive product performance reviews.
  • Worked with product and marketing teams to define KPI definitions for streaming engagement, pay-per-view purchases, and new bundle adoption.
  • Automated monthly ETL performance regression using Python + Snowflake queries to proactively identify slowdowns across key data pipelines.
  • Led JIRA-based sprint planning and retrospectives for the analytics pod; coordinated deliverables with teams supporting Xfinity Mobile and Peacock streaming data platforms.

Data Analyst II

Regal Rexnord Corporation
Chicago, Illinois
10.2023 - 10.2024
  • Pioneered a comprehensive digital marketing dashboard using Power BI and Google Analytics for real time campaign insights into performance, engagement and conversion, leading to a 19% increase in overall campaign effectiveness.
  • Proposed pricing analysis report, highlighting market trends, advocating pricing adjustments, resulting in a 13% increase in product profitability.
  • Integrated Cost of Customer Acquisition (CAC) tracking within pricing analysis reports to emphasize the financial efficacy of marketing strategies.
  • Developed and maintained data governance frameworks to ensure data integrity and compliance with industry standards, facilitating accurate reporting and decision-making across multiple business units.
  • Developed automated Alteryx workflows for data extraction, cleansing, and enrichment from SQL Server and Salesforce, reducing reporting lag from 3 days to under 8 hours.
  • Created segmentation models using SQL Server 2019 to support territory-level performance tracking and region-specific sales attribution.
  • Integrated SQL Server and Google Analytics GA4 to build a unified sales funnel model, enabling marketing to improve lead scoring strategies and attribution logic.
  • Collaborated with digital marketing, sales ops, and finance teams to define standard metrics, aligned across dashboards and departmental reports.
  • Conducted dashboard performance tuning using Power Query optimizations, DAX calculations, and data model simplification.
  • Delivered self-service dashboard templates using Power BI Apps, adopted across 7 regional business units.
  • Contributed to a 12.5% increase in sales efficiency by enabling real-time performance tracking and lead conversion monitoring.
  • Led user training sessions and developed internal documentation to increase stakeholder adoption of BI tools and enhance data literacy.
  • Participated in Agile ceremonies and worked closely with the Product Owner to prioritize reporting requirements aligned with business initiatives.

Data Analyst

Nile Group | Client - Johnson & Johnson
06.2023 - 10.2023
  • Developed a predictive model using Python (Pandas, Scikit-learn) to forecast over the counter (OTC) product demand based on seasonal trends, geo-demographics, and historical sales, increasing forecast accuracy by 12%.
  • Built Domo BI dashboards for patient segmentation and product performance analytics, allowing marketing teams to tailor campaigns by age group, region, and therapeutic category.
  • Led multivariate A/B testing for promotional strategies across email and digital ads for medical devices, improving campaign engagement by 10% and optimizing ROI.
  • Processed and cleansed 10M+ rows of syndicated retail and e-commerce data using PySpark in Databricks, reducing processing time by 30% and enabling real-time analytics integration.
  • Integrated Google Analytics GA4 with CRM data to map physician referral journeys and analyze product page interactions and bounce patterns for healthcare websites.
  • Created KPI dashboards to track market share, competitor performance, and campaign lift for top OTC product lines.

Associate Consultant (Data Analytics)

Sogeti | Capgemini
Chicago, Illinois
07.2022 - 04.2023
  • Investigated strategic marketing opportunities using SQL and MS Excel, developing advanced models using pivot tables, VLOOKUPs, and complex formulas to support financial planning and analysis resulting in a 2% quarterly revenue growth.
  • Collaborated with cross-functional teams to implement data-driven solutions, enhancing business process performance by 30% and contributed to a $500K annual increase in business value.
  • Leveraged Tableau to execute intricate calculations and craft bespoke measures, tracking financial KPIs including gross margin trends, campaign effectiveness, and revenue variance across business units, enhancing the depth and precision of analytical outputs.
  • Analyzed key financial metrics, such as revenue growth, margin analysis, and cost control, to provide actionable insights that drove a 10% improvement in operational performance.
  • Utilized SQL (T-SQL) to identify emerging market shifts, monitor competitor pricing patterns, and surface underperforming SKUs, informing quarterly sales strategy updates.
  • Collaborated with FP&A teams to build 2-year pricing simulation models using Excel’s scenario planning features and embedded Tableau visualizations for executive presentation.
  • Created custom Tableau calculated fields to support sensitivity analysis and “what-if” planning scenarios across product portfolios.
  • Implemented dashboard performance tuning best practices, optimizing workbook load times by simplifying joins, aggregating extracts, and reducing high-cardinality dimensions.

Data Analyst

Cybage Software
Pune, Maharashtra
06.2018 - 12.2020
  • Proposed advanced analytical techniques, like GAP analysis and cost/benefit analysis, to evaluate marketing strategies and optimize resource allocation, leveraging tools like Tableau and Salesforce for driving decision making and maximizing ROI.
  • Devised a logistic regression model and developed reports through Tableau using Google Analytics to help the SEO team by gathering relevant KPIs which resulted in a 12% increase in website audience thereby increasing profitability.
  • Conducted in-depth analysis using Power BI and SQL, to identify trends, anomalies, correlations and market opportunities to improve forecasting accuracy, leading to a 15% increase in sales revenue.
  • Designed and developed Power BI dashboards to visualize campaign-level performance across organic and paid traffic sources, with automated data refresh via Power BI Gateway.
  • Collaborated with marketing to define multi-channel attribution logic, blending data from SEO tools and CRM for holistic campaign analysis.
  • Created daily, weekly, and monthly dashboards to track content performance, backlink value, and keyword rankings, used by SEO specialists and content strategists.
  • Partnered with front-end developers to implement UTM tagging and event tracking frameworks for A/B testing and funnel analysis.
  • Conducted website funnel audits and proposed optimization changes based on drop-off and page flow trends, improving conversion rates.
  • Presented campaign performance summaries to client stakeholders, translating analytical findings into actionable recommendations for content, channel mix, and targeting strategy.

Analytics Intern

Internshala
Pune, Maharashtra
06.2016 - 04.2017
  • Conducted market research and competitor analysis to understand industry trends, competitive landscape and emerging opportunities. These insights guided the launch of a new solar energy product.
  • Collected and analyzed user engagement data to identify trends in course enrollments, internship application rates, and completion ratios across various training domains.
  • Built Power BI dashboards to visualize user behavior, course feedback trends, and platform usage by location, education level, and stream.
  • Conducted competitor analysis of other Indian edtech/internship platforms to benchmark features, pricing models, and internship coverage.
  • Used MySQL queries to extract student profile and usage data for internship conversion rate analysis.
  • Assisted the analytics team in segmenting students by performance and interest to help personalize email campaigns and course recommendations.
  • Supported A/B testing efforts to measure the impact of redesigned landing pages on user retention.
  • Created Excel-based reports tracking month-over-month application growth and regional traffic contribution from social campaigns.
  • Provided data summaries and visual insights that helped refine student onboarding workflows and content engagement strategy.

Education

Master of Computer Science - Computer Science

Illinois Institute of Technology
Chicago
05.2022

Bachelor of Computer Engineering - Computer Engineering

Pune University
Pune, India
05.2018

Skills

  • Programming – PySpark, Python - NumPy, Pandas, Scikit-learn, SQL
  • Data Analysis & BI - Power BI, Tableau, Looker Studio, Snowflake, Databricks, Alteryx, Adobe Analytics, SEMRush, Domo
  • Business Intelligence - Microsoft Excel, Google Analytics(GA4), Salesforce, HubSpot
  • Database Management - OracleDB, PostgreSQL, MS SQL Server, MySQL, MongoDB
  • Software/Framework Tools - Atlassian JIRA, Agile Methodologies, Trello, Asana, Mondaycom

Languages

English
Native/ Bilingual
French
Professional
Hindi
Native/ Bilingual
Marathi
Native/ Bilingual

References

References available upon request.

Timeline

Senior Data Analyst

Nile Group | Client - Comcast
11.2024 - Current

Data Analyst II

Regal Rexnord Corporation
10.2023 - 10.2024

Data Analyst

Nile Group | Client - Johnson & Johnson
06.2023 - 10.2023

Associate Consultant (Data Analytics)

Sogeti | Capgemini
07.2022 - 04.2023

Data Analyst

Cybage Software
06.2018 - 12.2020

Analytics Intern

Internshala
06.2016 - 04.2017

Master of Computer Science - Computer Science

Illinois Institute of Technology

Bachelor of Computer Engineering - Computer Engineering

Pune University

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