Sr. Data Analyst

About Us
Here at Baylor Scott & White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well.
Our Core Values Are
We serve faithfully by doing what's right with a joyful heart.
We never settle by constantly striving for better.
We are in it together by supporting one another and those we serve.
We make an impact by taking initiative and delivering exceptional experience.
Benefits
Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott & White Benefits Hub to explore our offerings, which may include:
Immediate eligibility for health and welfare benefits
401(k) savings plan with dollar-for-dollar match up to 5%
Tuition Reimbursement
PTO accrual beginning Day 1
Note: Benefits may vary based upon position type and/or level.
Job Summary
As the Sr. Data Analyst, you will play a critical role in helping Baylor Scott and White Health develop the future of our digital products and platforms, including our flagship mobile app, myBSWHealth.
You will work closely with cross-functional teams - including the customer engagement product, engineering, and marketing teams - to translate data into meaningful insights that guide strategic product decisions, improve user experiences, and drive business growth.
In this role you will leverage a deep understanding of both the product and the underlying data to help shape roadmaps, quantify new opportunities, and ensure the products and features we build bring value to BSWH customers and to the business itself.
The ideal candidate will have at least five years of experience working in data analytics, with a strong background in digital data and customer journey analysis.
Essential Functions Of The Role
Product Performance Analysis
Analyze product performance metrics and conduct deep dives into product features to understand user behavior, identify high value actions and develop hypotheses which inform product prioritization and optimization opportunities
Perform pre and post launch impact analyses of product initiatives based on business outcomes
Translate complex data insights into clear, actionable recommendations tailored to non-technical audiences
Experimentation Management
Design, implement and analyze A|B tests in partnership with product managers to evaluate the impact of new features or changes
Ensure proper experimental design (segmentation, sample size calculations, statistical significance, QA) and interpret results to provide actionable go-forward recommendations
Defining and Tracking KPIs
Collaborate with product managers to define KPIs aligned with organizational goals
Partner with product managers to develop tracking specs which map to project impact targets
Ensure stakeholders have access to real-time data and reporting via dashboards and/or reports
Data Modeling and Pipeline Support
Collaborate with data engineers to ensure the availability, accuracy, and reliability of product data
Define data requirements for tracking new product features and ensure proper instrumentation
Data-driven advocacy
Educate team members on how to interpret data and leverage insights effectively
Foster a data-driven mindset within the product team by promoting best practices in experimentation, measurement, analysis, and decision making
Ensure we establish and maintain data integrity and accuracy from implementation to interpretation
Preferred Candidate Profile
5+ years of experience working in digital product analytics, collaborating with Product and Engineering teams, and guiding data-informed product planning, prioritization, and strategy development
Strong analytical and problem-solving skills, using data to drive insights and decisions, preferably in a digital consumer environment; DTC product experience highly valued
Excellent communication and storytelling skills, with the ability to present insights clearly and convey complex concepts to both technical and non-technical stakeholdersProficiency in at least one programming language (e.g., SQL, Python or R) with the ability to query and manipulate large data sets for analysis
Extensive experience designing, implementing and analyzing A|B tests
Familiarity with PBI/data concepts and experience building out self-service data solutions
Extensive experience with large cloud-based data platform such as Snowflake
Proficiency in SQL Server, Kusto, Engage, and Amplitude
Proactive and detail-oriented with a proven ability to work autonomously
Belief in the importance of documentation as a core part of the development process
Key Success Factors
5+ years of experience working in digital product analytics
Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field
Expertise in web analytics platforms such as Amplitude, Adobe Analytics or Mixpanel
Proficiency in SQL, Python, or R for data querying and analysis
Strong experience with data visualization tools like Power BI
Deeply familiar with A/B testing platforms such as Amplitude Experiment, Optimizely or Google Optimize
Demonstrable experience working effectively with cross-functional teams to influence strategic and tactical initiatives
Belonging Statement
We believe that all people should feel welcomed, valued and supported.
Qualifications
EDUCATION - Bachelor's or 4 years of work experience above the minimum qualification
EXPERIENCE - 5 Years of Experience

Work arrangement
Yes