Data Stacks Jobs (NOW HIRING)

• Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
• Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
• Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
• Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
• Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
• Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
• Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
• Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
• Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
• Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
• Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
• Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
• Facilitate data stewardship and literacy across the business
• Drive adoption of data products to scale data value
• Stay current with emerging technologies and recommend enhancements to the analytics stack

• Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field
• 8–10+ years in analytics roles, including 3+ years leading projects
• Proven impact delivering analytics in complex environments (multi‑source data, ambiguous scope) with measurable business outcomes
• Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
• Demonstrated ability to mentor junior analytics professionals
• Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
• Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
• Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
• SQL: Strong proficiency (ANSI/T‑SQL); query optimization over large, partitioned tables
• R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
• Python: Data wrangling, automation, integration with Databricks and Azure services
• Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row‑level security, deployment pipelines
• Versioning & Reproducibility: Git‑based workflows; disciplined documentation and peer review
• Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
• Stakeholder partnership: influence cross‑functional partners; set expectations and drive alignment
• Demonstrated ability to deliver projects with undefined, large and/or complex scope
• Agile delivery
• Mentorship: develop analysts’ craft (methodology, viz/design, communication)
• Product mindset: define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions
• Ownership & judgment: operate independently, make sound trade‑offs, and uphold high quality standards
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• Master’s degree in Economics, Statistics, Data Science, Computer Science or related field
• Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
• Experience with machine learning frameworks and MLOps practices
• Familiarity with data governance tools and compliance standards
• Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
• Familiarity with healthcare risk adjustment models such as HCC and CDPS
• Familiarity with claims groupers such as Milliman’s HCG
• Product management training or analytics product delivery experience 

• Repetitive motions that include the wrists, hands and/or fingers
• Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
• Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.