Blend of analytics, data engineering, and applied business insight; work closely with data scientists to support model development, run retroactive analyses, build dashboards, and generate insights that drive business decisions.
Pull, clean, and validate data from relational databases and other data sources; prepare datasets for modeling and analysis.
Run retroactive analyses of model performance and summarize results; support smaller tickets for model building including feature engineering and exploratory analysis.
Analyze data to identify trends, patterns, and opportunities; communicate insights through written reports, visualizations, and presentations.
Design and maintain dashboards tracking KPIs, model performance, and other business-critical metrics; ensure stakeholders have timely, accurate, and accessible reporting.
Requirements
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field (or equivalent work experience).
Strong SQL skills and experience working with relational databases.
Proficiency in Python, R, or a similar data analysis language.
Experience with visualization tools (Tableau, Power BI, Looker, or equivalent).
Strong analytical and problem-solving skills with attention to detail.
Ability to clearly communicate technical findings to non-technical stakeholders.
Comfortable working with large datasets.
We are unable to offer work sponsorship for this role.