Senior Digital Product Analyst

Hbculifestyle; United States; Remote; USD 89,000 - 151,000; Full time

Job summary

An established industry player is seeking a Sr. Data Analyst to enhance its digital products and platforms. In this pivotal role, you will collaborate with cross-functional teams to translate data into actionable insights that drive strategic product decisions and improve user experiences. Your expertise in digital product analytics will be key in shaping roadmaps and quantifying opportunities. If you are passionate about data and want to make a significant impact in a dynamic environment, this opportunity is perfect for you. Join a team that values innovation and data-driven decision-making.

Benefits

Health and welfare benefits

401(k) savings plan with match

Tuition Reimbursement

PTO accrual from Day 1

Qualifications

• 5+ years of experience in digital product analytics and data-driven decision making.
• Proficiency in SQL, Python, or R for querying large datasets.

Responsibilities

• Analyze product performance metrics and provide actionable insights.
• Design and analyze A/B tests to evaluate new features.

Skills

Data Analytics

Problem-Solving

Communication Skills

SQL

Python

A/B Testing

Data Visualization

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Economics

Tools

Power BI

Amplitude

Snowflake

SQL Server

Kusto

Job description

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.

SALARY

The pay range for this position is $89,731/year (entry-level qualifications) - $151,000/yr (highly experienced). The specific rate will depend upon the successful candidate’s specific qualifications and prior experience.

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.

KEY SUCCESS FACTORS

• 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 stakeholders.
• Proficiency 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.

BENEFITS

Our competitive benefits package includes the following:

• 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.

QUALIFICATIONS

- EDUCATION - Bachelor's or 4 years of work experience above the minimum qualification.

- EXPERIENCE - 5 Years of Experience working in digital product analytics.

Preferences:

• 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.