Analyze complex data sets to drive platform improvements and support business and clinical decisions.
Collaborate with Product, Operations, Growth, and other teams to deliver insights and visualizations that measure impact, evaluate performance, and inform strategy.

Requirements

Bachelor’s degree or higher in a quantitative or informatics field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science, Information Management).
2+ years of experience in data analysis, business intelligence, or feature engineering.
Advanced experience with Sisense, Power BI, (or similar BI tools)—able to design dashboards for both executive-level decision-making and detailed operational use.
Strong hands-on skills with PostgreSQL (query optimization, schema exploration) and Python (pandas, NumPy, Matplotlib) for automation, transformation logic, and advanced analysis.
Proven ability to independently manage the reporting lifecycle—from stakeholder requirement gathering to schema/data model integration to dashboard delivery.
Ability to collaborate effectively with engineering teams to validate schema changes, integrate new data sources, and maintain consistency across the data model.
Strong data documentation skills: creating and updating data dictionaries, version control of datasets, and maintaining model diagrams with consistent naming and definitions.
Skilled at storytelling with data, delivering insights that highlight trends, comparisons, and business impact—not just raw numbers.
Excellent written and verbal communication skills, with experience presenting to executives and non-technical stakeholders.
Experience in healthcare and/or startup technology environments preferred.
Comfortable working in a dynamic environment, responding to shifting priorities and delivering under tight timelines.

Benefits

Comprehensive Medical, Dental, and Vision plans available
Paid Time off, Sick Time and Paid Company Holidays
401k Retirement Savings Program with 2% Company matching
Voluntary Life Insurance
Employee Assistant Program (EAP)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysisbusiness intelligencefeature engineeringPostgreSQLPythonSisensePower BIdata documentationdashboard designquery optimization

Soft skills

collaborationstorytelling with datacommunicationstakeholder managementadaptabilitytime managementproblem-solvingindependenceattention to detailpresentation skills