Principal Data Analyst

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  "source_hash": "f9cdce062b092199a48b0c5f3f244b2892863209bab24d6774b3338775a9a9bb",
  "last_changed_at": "2026-05-29T06:58:58.201Z",
  "active_status": "active"
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{
  "language": "en",
  "location": {
    "raw": "Ankeny, IA",
    "city": "Ankeny",
    "region": "IA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": 100003,
  "inferred_at": "2026-06-06T07:56:34.935Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
      "raw": "Ankeny, IA",
      "city": "Ankeny",
      "region": "IA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
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  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
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{}

{
  "lists": [
    {
      "text": "Position Responsibilities may include, but not limited to",
      "content": "\n<li>Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives</li>\n<li>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</li>\n<li>Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles</li>\n<li>Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows</li>\n<li>Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption</li>\n<li>Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses</li>\n<li>Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services</li>\n<li>Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions</li>\n<li>Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)</li>\n<li>Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives</li>\n<li>Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team</li>\n<li>Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls</li>\n<li>Facilitate data stewardship and literacy across the business</li>\n<li>Drive adoption of data products to scale data value</li>\n<li>Stay current with emerging technologies and recommend enhancements to the analytics stack</li>\n"
    },
    {
      "text": "Required Skills and Experience",
      "content": "\n<li>Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field</li>\n<li>8–10+ years in analytics roles, including 3+ years leading projects</li>\n<li>Proven impact delivering analytics in complex environments (multi‑source data, ambiguous scope) with measurable business outcomes</li>\n<li>Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)</li>\n<li>Demonstrated ability to mentor junior analytics professionals</li>\n<li>Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development</li>\n<li>Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features</li>\n<li>Databricks: Spark/SQL, notebooks &amp; jobs, performance tuning, SQL Warehouses</li>\n<li>SQL: Strong proficiency (ANSI/T‑SQL); query optimization over large, partitioned tables</li>\n<li>R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals</li>\n<li>Python: Data wrangling, automation, integration with Databricks and Azure services</li>\n<li>Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row‑level security, deployment pipelines</li>\n<li>Versioning &amp; Reproducibility: Git‑based workflows; disciplined documentation and peer review</li>\n<li>Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions</li>\n<li>Stakeholder partnership: influence cross‑functional partners; set expectations and drive alignment</li>\n<li>Demonstrated ability to deliver projects with undefined, large and/or complex scope</li>\n<li>Agile delivery</li>\n<li>Mentorship: develop analysts’ craft (methodology, viz/design, communication)</li>\n<li>Product mindset: define problem statements, success metrics, and iterate with feedback – drives adoption of analytics products and solutions</li>\n<li>Ownership &amp; judgment: operate independently, make sound trade‑offs, and uphold high quality standards</li>\n<li>&nbsp;</li>\n"
    },
    {
      "text": "Preferred Skills and Experience",
      "content": "\n<li>Master’s degree in Economics, Statistics, Data Science, Computer Science or related field</li>\n<li>Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)</li>\n<li>Experience with machine learning frameworks and MLOps practices</li>\n<li>Familiarity with data governance tools and compliance standards</li>\n<li>Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)</li>\n<li>Familiarity with healthcare risk adjustment models such as HCC and CDPS</li>\n<li>Familiarity with claims groupers such as Milliman’s HCG</li>\n<li>Product management training or analytics product delivery experience&nbsp;</li>\n"
    },
    {
      "text": "Physical Requirements",
      "content": "\n<li>Repetitive motions that include the wrists, hands and/or fingers</li>\n<li>Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods</li>\n<li>Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1767911505431,
  "updatedAt": null,
  "categories": {
    "team": "Data Analytics",
    "location": "Ankeny, IA",
    "commitment": "Full-Time, Remote",
    "department": "Corporate",
    "allLocations": [
      "Ankeny, IA"
    ]
  },
  "salaryRange": null,
  "workplaceType": "remote"
}