Marketing & Sales Business Data Analyst - Hybrid

Cedars-Sinai Medical Center•Los Angeles, CA

4d•Hybrid

About The Position

Cedars-Sinai Medical Center has been named to the Honor Roll in U.S. News & World Report’s “Best Hospitals 2025-2026” rankings . When you join our team, you’ll gain access to our groundbreaking biomedical research facilities and sophisticated medical education programs. We offer learning programs, tuition reimbursement and performance-improvement projects so you can achieve certifications and degrees while gaining the knowledge and experience needed to advance your career. Cedars-Sinai Marketing and Communications drives brand visibility and patient acquisition for the Los Angeles-based academic medical center. The team handles integrated campaigns across digital, broadcast, and social media, alongside public relations, storytelling, and strategic planning to support clinical growth. Why work here? Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the cultural and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for. What will you be doing in this role: The Cedars-Sinai MarComm (Marketing and Communications) Marketing & Sales Business Data Analyst will excel at understanding the business problems faced by decision-makers and translating data into key insights, actionable recommendations, and other solutions. This role includes conducting comprehensive research and trend analysis, evaluating key performance areas, and providing management with data-driven recommendations. In collaboration with the supervisor, partners with other departments to identify metrics, and designs performance reports for all levels of management. Areas of responsibility include B2B sales and outreach-specialist activities and omnichannel marketing analytics activities across spectrum of tactics and activations. Extracts, transforms, and analyzes large datasets from multiple sources, including internal systems like financials, EMR, and CRM; external data such as claims, market demand, and quantitative research; and marketing performance data across paid and organic channels, including SEM, display, web, email, social media, and earned media. Translate analytics into action by acting in consultative role to understand the business problems of non-technical stakeholders incl. sales specialists, marketing leaders, and senior executives; creating and executing data-driven solutions; and drafting polished, concise and actionable recommendations. Design & maintain analytics assets and reports by building, automating, and refreshing executive-ready slides, dashboards, scorecards, spreadsheets, one-pagers, and email-briefs for various quarterly reports, ad-hoc requests, CMO updates, and board-level presentations. Uses 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, from initial intake to executive-ready final deliverable; liaise as-necessary with teams such as IT, Finance, Digital Technology, and Product to resolve data issues; and strong writing, data-visualization, and interpersonal skills. Hybrid Remote = must currently live in Los Angeles area or willing to relocate to LA area for onsite requirements

Requirements

Five (5) plus years of hands-on analytics experience in healthcare or a 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.