Details Department: Growth Marketing & Digital ExperienceSchedule: Monday - Friday, 8 hour shiftLocation: RemoteSalary: $121,264 - $169,035
Benefits Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA optionsFinancial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance Time to recharge: pro-rated paid time off (PTO) and holidaysCareer growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learningEmotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resourcesFamily support: parental leave, adoption assistance and family benefitsOther benefits: optional legal and pet insurance, transportation savings and more

Benefit options and eligibility vary by position, scheduled hours and location. Benefits are subject to change at any time. Your recruiter will provide the most up-to-date details during the hiring process.

Responsibilities

Ascension, one of the largest non-profit healthcare systems in the U.S., is seeking a Senior Digital Product Analytics Associate to drive data-informed decision-making for our digital product portfolio within the Growth Marketing & Digital Experience (GMDx) team. You’ll be responsible for the end-to-end analytics capabilities for a digital product portfolio within GMDx, collaborating with cross-functional teams to enhance product design, roadmaps, and outcomes. Your work will directly impact Ascension’s mission of improving health and access to care for individuals and communities.

 

Responsibilities:

Metric Development & Accountability: Define, standardize, and maintain KPIs that align features with business goals. Partner with product, design, and engineering teams while holding them accountable for meaningful, measurable, and consistently tracked metrics.Data Analysis & Insights: Ask critical, high-value questions and uncover actionable insights from complex datasets. Translate findings into clear narratives that connect trends to business outcomes, answering the “So what?” and “Why does this matter?”Influence and Data-Driven Input: Partner closely with product teams to shape roadmaps and feature development through the lens of data.Effective Communication: Craft clear and concise findings from complex data for diverse audiences via emails, dashboards, slide decks, and documentation. Proactively drive alignment and understanding through templates and communication frameworks. Translate complex findings into clear and actionable narrativesData Visualization: Develop and maintain tailored dashboards and reports to meet stakeholder needs. Establish consistent reporting standards and improve dashboard development processes.Statistical & Impact Analysis: Conduct advanced statistical analyses and ROI studies to measure product and feature impact. Standardize frameworks for evaluating value across the portfolio.Forecasting & Predictive Analytics: Build predictive models for key metrics like patient acquisition and appointment scheduling. Communicate results effectively to stakeholders.Data Governance: Contribute to data quality, governance, and cataloging initiatives. Ensure discoverability, consistency, and compliance by enriching datasets with metadata and resolving quality issues.Roadmap & Workflow Management: Manage individual work backlog and align analytics efforts with cross-functional roadmaps. Manage capacity, prioritize tasks, and set expectations on deliverables.Data Transformation: Identify and prepare data sources for analysis, performing necessary extraction, transformation, and loading tasks to enable efficient workflows.

Qualifications:

Experience: 5+ years in digital product analytics or related roles.Technical Skills: Advanced proficiency in BI tools (e.g., Looker), SQL, Python/R, and statistical methods (e.g., t-tests, ANOVA, regression, time series).Data Expertise: Skilled in handling missing values, outlier management, aggregations, complex joins, and automating repetitive data tasks.Experimentation: Expertise in designing and analyzing A/B and multivariate tests, including statistical power calculations.Causal Inference: Experience going beyond simple experiments and applying quasi-experimental methods (e.g., difference-in-differences, propensity score matching, synthetic controls).Business Acumen: Familiarity with customer lifetime value, acquisition cost, market share growth, and financial models like NPV and DCF.Soft Skills: Exceptional problem-solving, communication, and cross-functional collaboration abilities.
Requirements

Education:

High school diploma/GED with 2 years of experience, or Associate's degree, or Bachelor's degree required.

Work Experience:

1 year of experience required.4 years of experience preferred.2 years of leadership or management experience preferred.
Additional Preferences Healthcare experience 

#GMDx

Why Join Our Team

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter.

Equal Employment Opportunity Employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

 

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