Analytics Developer III

Baylor Scott & White Health

United States

On-site

USD 55,000 - 87,000

Full time

10 hours ago

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Job summary

Baylor Scott & White Health is seeking an Analytics Developer III to join the Digital Analytics team. You will link business strategy, digital experiences, and data to guide decisions, partnering with senior leaders and cross-functional teams to frame and solve analytical problems end-to-end.

You will own the analytical lifecycle from data-first measurement through dashboarding and executive storytelling, delivering trusted insights across the organization.

Qualifications

Deep digital analytics experience.
Advanced SQL expertise, including complex metric development, data modeling, and exploratory data analysis.
Proficiency with Snowflake and Power BI.
Experience defining tracking and measurement requirements prior to implementation.
Strong data quality, validation, and QA discipline.
Systems thinking with the ability to understand end-to-end business processes and data impacts.
Executive-level communication and presentation skills.
Ability to influence stakeholders and drive alignment without direct authority over teams or resources.

Responsibilities

Partner with leaders and cross-functional teams to understand business objectives, challenge assumptions, and translate ambiguous needs into clear analytical problem statements and measurable outcomes.
Define the measurement strategy before implementation, including events, dimensions, metrics, data sources, tracking requirements, technical specifications, processes, and workflows.
Serve as a trusted analytical advisor and lead consultant for senior stakeholders, guiding prioritization, measurement decisions, and resource alignment.
Apply systems thinking to connect customer journeys, digital experiences, operational processes, source systems, and downstream reporting; identify dependencies, gaps, and creative approaches to answer business questions with evidence.
Extract, transform and load data into database as required utilizing the most appropriate tool.
Assess, produce and/or develop complex relevant, standard, or custom information from various data sources by querying data and generating the outputs.
Lead end-to-end data quality assurance, including tracking validation, instrumentation QA, reconciliation, metric testing, anomaly detection, and documentation of known limitations.

Skills

Deep digital analytics

Advanced SQL

Snowflake

Power BI

Measurement requirements

Data quality

Systems thinking

Executive communication

Influence without authority

Education

Bachelor's in Statistics/OR/CS

Master's degree preferred

Tools

Snowflake

Power BI

Python

SQL

Job description

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.

About Us

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

The Digital Analytics team delivers trusted measurement, advanced analytics products, dashboards, reporting, and actionable insights to leaders and stakeholders across the organization.

As a member of the Customer Analytics team, the Analytics Developer III serves as a high-impact, leadership-facing analyst who connects business strategy, digital experiences, customer behavior, and data to guide decisions. This role partners with senior leaders and cross-functional teams to frame ambiguous business needs as clear analytical problem statements, determine what must be measured, and identify creative, fact-based ways to answer the questions that matter most. The role owns the analytical lifecycle from data-first measurement design and tracking requirements through data collection, implementation support, quality assurance, exploratory analysis, metric development, dashboarding, and executive-ready storytelling.

Wage Transparency

The pay range for this position is $40.35/hour ($83,928/year) for those with entry-level qualifications up to $62.52 ($130,041) for those highly experienced. The specific rate will depend upon the successful candidate's specific qualifications and prior experience.

Essential Functions Of The Role

Partner with leaders and cross-functional teams to understand business objectives, challenge assumptions, and translate ambiguous needs into clear analytical problem statements and measurable outcomes.

Define the measurement strategy before implementation, including events, dimensions, metrics, data sources, tracking requirements, technical specifications, processes, and workflows.

Serve as a trusted analytical advisor and lead consultant for senior stakeholders, guiding prioritization, measurement decisions, and resource alignment.

Apply systems thinking to connect customer journeys, digital experiences, operational processes, source systems, and downstream reporting; identify dependencies, gaps, and creative approaches to answer business questions with evidence.

Extract, transform and load data into database as required utilizing the most appropriate tool.

Assess, produce and/or develop complex relevant, standard, or custom information (reports, dashboards, interactive reporting, charts, graphs and tables) from various data sources by querying data and generating the associated output. Distribute and disseminate analytical deliverables to applicable agencies, researchers, management and other customers.

Lead end-to-end data quality assurance, including tracking validation, instrumentation QA, reconciliation, metric testing, anomaly detection, and documentation of known limitations before results reach leadership.

Document project/work assignments to include all needed technical documentation such as source to target mappings, data sources, definitions, methodologies, contact information, output requirements or other information to ensure continuity of process. Interpret complex data and associated deliverables (reports, dashboards, interactive reporting, charts, graphs and tables) in plain business language for executive & clinical staff. Effectively summarize information and create intuitive/digestible information by selecting visualizations that are fit for purpose.

Use advanced SQL to develop complex metrics, reusable analytical datasets, and exploratory data analyses that evaluate performance, explain drivers, test hypotheses, and surface opportunities across digital, customer, operational, and marketing use cases. Connect the dots across disparate data and perspectives to identify trends, root causes, opportunities, and risks; develop fact-based recommendations that leaders can act on.

Provide technical mentorship and raise the team's analytical maturity through reusable methods, measurement standards, SQL practices, QA discipline, and clear storytelling.

Required Skills And Experience

Deep digital analytics experience

Advanced SQL expertise, including complex metric development, data modeling, and exploratory data analysis

Proficiency with Snowflake and Power BI

Experience defining tracking and measurement requirements prior to implementation

Strong data quality, validation, and QA discipline

Systems thinking with the ability to understand end-to-end business processes and data impacts

Executive-level communication and presentation skills

Ability to influence stakeholders and drive alignment without direct authority over teams or resources

Preferred Skills And Experience

Experience with agentic AI and AI-enabled analytics tools (e.g., GitHub Copilot, Snowflake Cortex).

Experience with web and mobile analytics platforms, such as Amplitude, Adobe Analytics, and Google Analytics.

Experience working within Agile teams and cross-functional product squads.

Prior experience in a regulated industry, such as healthcare, financial services, or a similarly compliance-focused environment.

Familiarity with applying analytics and insights to support digital product strategy and decision-making.

Key Success Factors

Bachelor's degree in Statistics, Operations Research, Physics, Computer Science,

Economics, Business, Clinical or other similar degree or equivalent experience required.

Master's degree preferred.

Strong analytical, systems-thinking, problem-solving, data manipulation, troubleshooting, and structured thinking skills, with the ability to decompose complex business problems into answerable analytical questions.

Advanced development skills in the use of enterprise analytical and Bl tools, such as Cognos, Tableau, QIickView, Excel PowerPivot or SSRS.

Advanced SQL skills, and comfort using Python, pyspark, including the ability to query, join, model, validate, and analyze complex data in Snowflake; develop sophisticated metrics and exploratory analyses; and optimize queries for repeatable use.

Verbal and written communication skills.

Ability to design and influence the implementation of measurement systems, tracking plans, and data pipelines necessary to collect, maintain, validate, and analyze trustworthy digital and business data.

Ability to gather, integrate, and analyze data; define meaningful metrics; conduct exploratory analysis; and develop executive-ready reports and recommendations.

Ability to work independently, lead cross-functional teams with minimal supervision, and influence decisions across product, marketing, technology, data engineering, and business functions.

Knowledge of ETL & Data Warehousing.

Ability to work with complex data of varying levels of quality and validity.

Ability to develop data analytics and BI applications in a clear and understandable manner meeting user requirements.

Inquisitive, hypothesis-driven mindset with the ability to learn new business domains, data sources, tools, and processes quickly; ask incisive questions; identify creative analytical approaches; and improve efficiency and decision quality.