Jennifer Benson Email & Phone Number

Boston, Ma, Us

Translated business needs into executable data transformation models using a combination of Python, SQL, and PySpark to deliver key data products to the customer-facing application and prototyped new data products in Looker for customer calls. Provided leadership in data modeling and testing by pioneering the transition of our data to new data infrastructure and a dimensional model and onboarding new employees. Built the foundational data models that provided insights into patient care journeys to customers for a new data product that met revenue goals for the quarter, building data pipelines with Dagster and dbt.Analyzed large datasets up to hundreds of TBs from different sources with various data models and integrated them into the dimensional model for reporting consumption. Interacted with data stored in Snowflake, BigQuery, and Databricks.Contribute to team building by participating on the Hackathon Committee for the yearly engineering Hackathon.

Boston, Ma, Us

Seattle, Washington, Us

Seattle, Washington, Us

Oversaw class action lawsuit administration for the data team, effectively managing a complex web of dependencies both internally and externally.Compiled comprehensive reports summarizing data relevant to legal cases, and presented key insights to executives, directors, and project managers.Led and managed daily email campaigns reaching an audience of over 50 million recipients, which involved developing HTML and CSS templates, scheduling, and providing detailed reporting on campaign performance.Executed data cleansing and migration activities for structured and unstructured data related to class action lawsuits, utilizing Python and SQL to seamlessly transition the data into Microsoft SQL Server.

Seattle, Washington, Us

Seattle, Washington, Us

Supervised a team of data extraction analysts across multiple teams, overseeing their training, prioritizing workflows, and conducting performance reviews to ensure optimal productivity.Utilized generalized linear models to select the final model for predicting global deaths, a crucial component of an annual publication in a prestigious medical journal.Designed and implemented a geo-processing workflow using ArcGIS and R to model populations at risk. Presented the findings and methodology to key stakeholders during the annual review meeting.