Excel at understanding the business problems faced by decision-makers and translating data into key insights, actionable recommendations, and other solutions.
Conduct comprehensive research and trend analysis, evaluating key performance areas, and providing management with data-driven recommendations.
Collaborate with the supervisor, partners with other departments to identify metrics, and design performance reports for all levels of management.
Areas of responsibility include B2B sales and outreach-specialist activities and omnichannel marketing analytics activities across the spectrum of tactics and activations.
Extract, transform, and analyze large datasets from multiple sources.
Translate analytics into action by acting in a consultative role to understand the business problems of non-technical stakeholders.
Create and execute data-driven solutions; draft polished, concise and actionable recommendations.
Design & maintain analytics assets and reports by building, automating, and refreshing executive-ready slides, dashboards, scorecards, and other reporting formats.
Use multiple data sources to understand local geographies and build recommendations on promotion in those areas.
Work independently with end-to-end ownership of project success; liaise as necessary with teams to resolve data issues.

Requirements

Five (5) plus years of hands-on analytics experience in healthcare or healthcare-adjacent provider/payer/health-tech environment, or in B2C/B2B marketing analytics supporting healthcare clients.
Proven expertise in building KPI frameworks and measurement plans for marketing and sales funnels, with demonstrated impact on growth and efficiency.
Advanced proficiency with:
Data visualization: Power BI and/or Fabric (dashboard design, data modeling, DAX/LOD, parameters, actions).
Data querying and wrangling: SQL (joins, CTEs, window functions), and at least one scripting language (Python or R) for data prep and analysis.
Statistical and quantitative methods: experiment design, significance testing, confidence intervals, regression/forecasting basics, and attribution/marketing mix fundamentals.
Strong experience integrating and analyzing data from CRMs (e.g., Salesforce, MS Dynamics), marketing platforms (Google Analytics, ad platforms), and healthcare systems (EHR/EMR) with attention to privacy and compliance.
Exceptional data storytelling: ability to craft concise narratives, tailored visualizations, and executive-ready presentations that drive decisions.
Project management excellence—able to scope, prioritize, and deliver on deadlines in a fast-paced environment.

Benefits

Learning programs
Tuition reimbursement
Performance-improvement projects

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analysisdata visualizationSQLPythonRstatistical methodsKPI frameworksexperiment designregressiondata querying

Soft Skills

data storytellingconsultative roleproject managementcollaborationcommunicationproblem-solvingindependenceattention to detailanalytical thinkingtime management