

Jennifer Ceresia
Analytics Engineering & Data Science Specialist
Analytics Engineering & Data Science Specialist
- OVERVIEW
Experienced data professional with 10+ years of expertise across the entire data lifecycle, including data acquisition, transformation, modeling, analysis, and visualization. Skilled in DBT, SQL, Python, Tableau, and machine learning/AI, with a proven ability to build scalable data pipelines and self-service analytics solutions to drive data-driven decisions.
Data Engineering
Collecting, transforming, and storing data
Analytics Engineering
Designing data for decisions
Data AnalyticsUncovering insights that matter
Machine Learning
Predicting outcomes with intelligent models
Data Visualization
Telling stories through data
Data Governance
Ensuring data is trusted, secure, and compliant
WORK EXPERIENCE
Data Scientist
Paradox (formerly eqtble)
June 2021 - Present
- Co-founded the development of an innovative people analytics SaaS product, empowering users with self-serve tools to transform people data into actionable insights.
- Engineer end-to-end data pipelines and ETL processes in DBT with Snowflake SQL and Python, integrating data from ATS, HRIS, and performance management systems to establish a robust data model that enables self-serve analytics.
- Lead data governance by building a Python-based infrastructure to validate employee and talent data, ensuring integrity and boosting customer trust.
- Design BI dashboards in Looker, showcasing analytics and key insights to empower data-driven decision-making and optimize workforce strategies.
- Define metrics in DBT, establishing a single source of truth for analytics and reporting, ensuring consistency, accuracy, and scalability throughout the data ecosystem.
- Deploy AI-driven insights by conducting statistical analyses, applying machine learning algorithms, and translating findings into actionable recommendations using OpenAI.
- Develop a metric recommender system, enabling users to ask questions about employee population and receive relevant metric suggestions. Utilize OpenAI's NLP for query interpretation and Pinecone for metric retrieval.
- Oversee customer success efforts, guiding onboarding, data integration, and troubleshooting while gathering feedback to refine product features.
Data Scientist
WeWork
June 2018 - Present
- Designed and delivered Tableau dashboards to provide leadership with data-driven insights into key HR metrics, including employee performance, attrition, and compensation.
- Engineered a centralized SQL-based data model, integrating disparate people systems into a unified platform with clear dimensions and metrics for deep analysis.
- Leveraged statistical analyses in Python to create scorecards for leadership that summarized key people metrics and highlighted areas of improvement, enabling informed decision-making.
- Developed Python-based data audits to validate and ensure the accuracy of front-end products, maintaining high data quality standards.
- Led Tableau training sessions to drive adoption of People Analytics dashboards.
Data Visualization Engineer
DoubleVerify
June 2016 - June 2018
- Designed analytical dashboards to assess ad-tech campaign success on platforms like Facebook and YouTube.
- Increased customer adoption of the company's analytical platform by optimizing existing dashboard designs
- Created advanced metrics and KPIs, enabling clients to align campaign results with business objectives.
- Engineered metric validation in Python to maintain accuracy and consistency
Data Analyst
Messina Quantitative Research
October 2014 - June 2016
- Designed Tableau dashboards to analyze and communicate insights from the 2015 UK General Election, including polling trends and voter behavior.
- Ensured data accuracy and integrity for strategic analysis through collaboration with data engineers.
- Engineered a web portal using Tableau JavaScript API, HTML, and CSS to enhance dashboard functionality and streamline navigation on Tableau Server
EDUCATION
University at BuffaloMS Management Information Systems
August 2013 - June 2014
GPA: 3.8
BS Business Administration
August 2009 - June 2013
GPA: 3.9
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