• Take ownership of and expand our transformation layer using DBT, ensuring new models align with the established architectural patterns. • Design and extend dimensional models using frameworks like Kimball or BEAM, ensuring the schema accurately reflects the nuance of our business operations. • Work with BigQuery. • Establish data quality monitoring and testing frameworks. • Act as a bridge between business and data: Deeply analyse business workflows to gather requirements and translate them into reliable facts and dimensions. • Document data definitions and business logic, ensuring the "why" behind the modelling decisions is clear. • Maintain the long-term health and optimisation of the transformation layer.

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns. • Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness. • Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts. • Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs. • Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets. • Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own. • Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management. • Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction.

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns. • Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness. • Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts. • Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs. • Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets. • Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own. • Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management. • Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction.

UnityPoint Health | Des Moines Consolidated Serv 1601 SE Gateway Dr, Grimes, IA Job Description: - Remote: Yes - Area of Interest: Business Professionals - FTE/Hours per pay period: 1.0 - Department: Supply Chain Analytics - Shift: Monday-Friday, Days - Job ID: 181247 Overview Location: Remote/work from home with strong preference for candidates residing within the UPH geographies of Iowa, Illinois, & Wisconsin This position does not offer Visa sponsorship. Candidates must have permanent work authorization in the United States. UnityPoint Health is transforming into a highly reliable, data‑informed organization — and our Analytics team is at the center of that mission. We partner across clinical, operational, and financial areas to drive meaningful, measurable improvement through data and analytics. We’re seeking a Senior Analytics/Databricks Engineer to lead the development of data‑driven products that power decision‑making across the system. In this senior role, you’ll guide the full analytics lifecycle while collaborating with IT ETL teams, analytics business partners, and end‑users to deliver impactful solutions. Why UnityPoint Health? At UnityPoint Health, you matter. We’re proud to be recognized as a Top Place to Work in Healthcare by Becker's Healthcare several years in a row for our commitment to our team members.   Our competitive Total Rewards program offers benefits options focused on your needs and priorities, no matter what life stage you’re in. Here are just a few:       - Expect paid time off, parental leave, 401K matching and an employee recognition program.    - Dental, health and vision insurance, paid holidays, short and long-term disability and more. We even offer pet insurance for your four-legged family members.   - Early access to earned wages with Daily Pay, tuition reimbursement to help further your career and adoption assistance to help you grow your family.    With a collective goal to champion a culture of belonging where everyone feels valued and respected, we honor the ways people are unique and embrace what brings us together.    And, we believe equipping you with support and development opportunities is a vital part of delivering an exceptional employment experience.  Join our team of experts and make a difference with UnityPoint Health. Responsibilities - Lead the design, development, and maintenance of complex data models, analytics products, and production‑quality code - Transform and prepare data from multiple sources to ensure it is accurate, contextualized, and ready for analysis - Scope analytics work, manage development lifecycles, and provide clear, routine status updates - Independently lead projects and cross‑functional teams, ensuring strong performance, timely issue resolution, and effective resource use - Mentor analytics team members, deliver training, and support the growth of data literacy across the organization - Build dashboards, reports, and visualizations that communicate insights clearly and support data‑informed decision‑making - Support deployment of analytics solutions through documentation, user training, and leadership in implementation and enhancement processes - Partner with stakeholders to understand business needs, translate them into analytics solutions, and advance strategic, data‑driven outcomes Qualifications Education: - Required: - Bachelor’s Degree in Engineering, Operations Research, Business, Business Analytics, Healthcare Administration, Mathematics, Statistics, Data Science, Actuarial Science or related field - Equivalent experience of at least 7 years working in an analytics or healthcare operations setting that includes demonstrated results driving improvements using data and analytics methodologies and techniques may be substituted for education requirement - Preferred: - Master’s of Science in Engineering, Operations Research, Business, Business Analytics, Healthcare Administration, Mathematics, Statistics, Data Science, Actuarial Science or other related field - PhD in Engineering, Operations Research, Business, Business Analytics, Healthcare Administration, Mathematics, Statistics, Data Science, Actuarial Science or other related field Experience: - Relevant work experience is required - Databricks experience is preferred