Analytics Developer III

Baylor Scott & White Health•Remote,

6h•$83,928 - $130,041

About The Position

The Analytics Developer III is a high-impact, leadership-facing analyst on Baylor Scott & White Health’s Customer Analytics team. The role connects business strategy, digital experiences, customer behavior, and data to guide decisions, working with senior leaders and cross-functional teams to turn ambiguous business needs into clear analytical questions and measurable outcomes. The position owns the analytical lifecycle, from measurement design and tracking requirements through data collection, implementation support, quality assurance, exploratory analysis, metric development, dashboarding, and executive-ready storytelling. The analyst serves as a trusted advisor to stakeholders, leads measurement and data-quality efforts, develops reusable analytical assets, and communicates evidence-based findings and recommendations in clear business language.

Requirements

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 before implementation.
Strong data quality, validation, and quality assurance discipline.
Systems-thinking 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.
Bachelor’s degree in Statistics, Operations Research, Physics, Computer Science, Economics, Business, Clinical studies, or a similar field, or equivalent experience.
Five years of experience.
Strong analytical, systems-thinking, problem-solving, data manipulation, troubleshooting, and structured-thinking skills.
Advanced development skills with enterprise analytical and BI tools such as Cognos, Tableau, QlikView, Excel PowerPivot, or SSRS.
Comfort using Python and PySpark, and ability to query, join, model, validate, and analyze complex Snowflake data; develop sophisticated metrics and exploratory analyses; and optimize queries for repeatable use.
Verbal and written communication skills.
Ability to design and influence implementation of measurement systems, tracking plans, and data pipelines for collecting, maintaining, validating, and analyzing trustworthy 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 and data warehousing.
Ability to work with complex data of varying quality and validity.
Ability to develop clear and understandable data analytics and BI applications that meet user requirements.
Inquisitive, hypothesis-driven mindset and ability to learn business domains, data sources, tools, and processes quickly; ask incisive questions; identify creative analytical approaches; and improve efficiency and decision quality.

Nice To Haves

Master’s degree.
Experience with agentic AI and AI-enabled analytics tools such as GitHub Copilot or Snowflake Cortex.
Experience with web and mobile analytics platforms such as Amplitude, Adobe Analytics, or Google Analytics.
Experience working within Agile teams and cross-functional product squads.
Prior experience in a regulated industry, such as healthcare or financial services, or a similarly compliance-focused environment.
Familiarity with applying analytics and insights to digital product strategy and decision-making.

Responsibilities

Partner with leaders and cross-functional teams to understand objectives, challenge assumptions, and translate ambiguous needs into analytical problem statements and measurable outcomes.
Define measurement strategies before implementation, including events, dimensions, metrics, data sources, tracking requirements, technical specifications, processes, and workflows.
Advise senior stakeholders and guide prioritization, measurement decisions, and resource alignment.
Connect customer journeys, digital experiences, operational processes, source systems, and reporting; identify dependencies, gaps, and evidence-based approaches to business questions.
Extract, transform, and load data into databases using appropriate tools.
Query data and produce complex standard or custom reports, dashboards, interactive reporting, charts, graphs, and tables; distribute deliverables to relevant audiences.
Lead end-to-end data quality assurance, including tracking validation, instrumentation QA, reconciliation, metric testing, anomaly detection, and documentation of limitations.
Document technical details for work assignments, including source-to-target mappings, data sources, definitions, methodologies, contacts, and output requirements.
Explain complex data and analytical deliverables in plain business language for executive and clinical staff, selecting fit-for-purpose visualizations.
Use advanced SQL to develop complex metrics, reusable analytical datasets, and exploratory analyses that evaluate performance, explain drivers, test hypotheses, and identify opportunities.
Identify trends, root causes, opportunities, and risks across disparate data and perspectives, and develop actionable recommendations.
Mentor team members and improve analytical maturity through reusable methods, measurement standards, SQL practices, QA discipline, and clear storytelling.