Katharine Rovinsky
Verified Expert in Engineering
Data Analytics Developer
Valencia, Spain
Toptal member since January 20, 2022
Katharine is a passionate and business-focused analytics professional with ten years of experience leveraging CRM and database insights. She has proven success in supporting decision-makers across marketing, sales, and product teams at Nielsen and Dell Technologies and, most recently, managing analytics at a startup. Expert in SQL, customer database insights, dashboarding, and reporting via Looker and Tableau, Katharine loves working with data and helping inform business strategy.
Portfolio
Experience
- Customer Data - 12 years
- SQL - 10 years
- Database Analytics - 10 years
- Customer Segmentation - 9 years
- Dashboard Design - 5 years
- Tableau - 4 years
- Looker - 2 years
- Looker Modeling Language (LookML) - 2 years
Availability
Preferred Environment
SQL, PostgreSQL, MySQL, Looker, Looker Modeling Language (LookML), Tableau, Snowflake, Teradata, Google BigQuery, Oracle
The most amazing...
...outcome I've achieved was to help decision-makers refine and demonstrate their customer impact with data.
Work Experience
Business Analyst
Zoetis
- Combined and enhanced Tableau dashboards to track new product launches.
- Worked to combine/consolidate Tableau datasets using SQL for Azure/Databricks, performing UAT for database migration.
- Pulled targeted marketing campaign lists and analyzed results (ROI/lift analysis) to support sales and marketing business users.
Looker Dashboard Developer
The Estée Lauder Companies
- Migrated reports for sales and marketing to Looker, supporting the retirement of prior reporting tools with recommendations on Looker implementation.
- Led LookML development to support new data reporting schemas.
- Gathered and implemented user feedback on interactive report design and features.
Manager of Analytics
Postclick
- Managed a database analytics function for a startup specializing in landing page post-click automation.
- Led the project scoping, delivery, and development of LookML data models and data pipelines to a Snowflake data warehouse via Segment.
- Developed a data and reporting flow to track a marketing lead pipeline from the campaign touch through closed opportunity.
- Produced a monthly company KPI report for investors and the leadership team.
Senior Advisor | Consumer Insights Consultant
Dell
- Promoted from a U.S. consumer CRM data analyst to a regional B2B analytics team lead for Europe and Asia, training and developing six new hires.
- Built core datasets using SQL and developed stakeholder relationships and processes to lay the foundation for a new team of regional analysts.
- Led global and regional projects, including marketing and sales COVID-19 response.
Customer Insights Advisor
Dell
- Assisted business stakeholders with ad-hoc analytics requests, including segmentation insights, customer cohort analysis, and campaign performance.
- Developed and presented monthly customer insights dashboards for the US consumer marketing and sales leadership.
- Developed and refined core customer datasets using SQL.
Client Manager | Business Development Manager
Nielsen
- Promoted to an account manager, focusing on data and analytics support for financial, utility, and technology industry clients. Assisted with customer segmentation, market data, and data visualization software.
- Led sales presentations, project scoping, and delivery for custom projects using syndicated research data.
- Resolved business process challenges for client delivery and managed client renewal and upsell.
Client Success Manager
Nielsen
- Provided ad-hoc analytics support and data training for banking and insurance clients, assisting with customer segmentation, market data and survey data analysis, and software training.
- Received two quarterly client service awards for developing a client reporting dashboard for a large banking client.
- Served as the primary day-to-day point of contact for clients and worked to resolve service delivery issues, log technical issues, and provide necessary training.
Graduate Research Assistant
University of Illinois Chicago | Urban Transportation Center
- Collected data via video recordings, passenger surveys, and stakeholder interviews to support government-funded studies on public transportation and rail safety.
- Performed analysis on research study data using SAS and ArcGIS.
- Reported findings and recommendations to lead researchers.
Experience
Marketing Funnel Leads Reporting
I began the process by understanding the leadership team's vision and gathering definitions and dashboard requirements. I advised on data flows, pushing existing lead tagging from the marketing CRM tool to the sales CRM and ultimately to a central database, where I built a data model for the dashboard. After further refinement and stakeholder discussions, I created flexible code to accommodate new lead tagging fields planned for upcoming quarters.
Developing Datasets for Customer KPI Reporting
Global COVID-19 Guidance for Marketing and Sales
This project leveraged both customer database and third-party market insights. The most challenging aspect was pulling together insights from many regional analysts in a timely way so that recommendations could inform some significant strategic decisions. Ultimately, the recommendations did reflect in the strategy set by marketing and sales leadership, contributing to successful pivots in resources and focus.
Report Migration to Looker
The report migration allowed for cost savings, with the maintenance of the custom-built versions sunsetted and the opportunity for more responsive development of new reports, features, and edits through the implementation of Looker and LookML data models.
Education
Master's Degree in Urban Planning
University of Illinois Chicago - Chicago, United States
Bachelor's Degree in Economics
University of Central Florida - Orlando, United States
Certifications
Looker Certified LookML Developer
Google Cloud
Developing Data Models with LookML
Google Cloud
Managing Big Data with MySQL
Coursera
Hadoop Application and Framework
Coursera
Machine Learning
Coursera
Getting and Cleaning Data
Coursera
Data Visualization and Communication with Tableau
Coursera
Skills
Libraries/APIs
ArcGIS, PySpark, Pandas
Tools
Looker, Tableau, Salesforce Sales Cloud, GIS, BigQuery, Slack, Trello, Tableau Desktop Pro, Microsoft Power BI, Toad, MapInfo
Languages
SQL, Looker Modeling Language (LookML), Snowflake, SAS, Python
Paradigms
Key Performance Metrics, Business Intelligence (BI), B2B, B2C, ETL, User Acceptance Testing (UAT)
Storage
Relational Databases, PostgreSQL, MySQL, Data Pipelines, Database Migration, Teradata, Netezza, Microsoft SQL Server
Frameworks
Hadoop
Platforms
Oracle, Google Cloud Platform (GCP), Databricks, Azure
Other
Surveys, Analytics, Demographic Data, Dashboard Design, Data Visualization, Customer Data, Stakeholder Management, Customer Segmentation, Data Quality, Data Cleansing, Analysis, Database Analytics, Data Analysis, Data Analytics, Forecasting, Research, Data Engineering, Presentations, Global Project Management, B2C Marketing, B2B Sales Pipeline, Marketing Analytics, Cohort Analysis, Predictive Analytics, Client Success, Client Management, Market Research & Analysis, Market Segmentation, Market Research, Writing & Editing, User Requirements, Funnel Marketing, Dashboards, Business to Business (B2B), Google BigQuery, Econometrics, Segment, ETL Tools, Tableau Server, A/B Testing, Software, Training, Data Collection, Focus Groups, Interviews, Machine Learning, Regression, Clustering, Data Entry Analysis, Web Dashboards, Cloud Migration, Migration, Data Migration, Data Migration Testing
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