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Director, Analytics na Momsmeals

Momsmeals · Ankeny, Estados Unidos Da América · Remote

Python

SQL

MLOps

Cloud

Candidatar-se agora

Description

The Director, Analytics will lead the organization’s analytics strategy and execution, ensuring data-driven insights are embedded into decision-making, data products are delivered to scale data value and talent develops along key technical and business skill capabilities and competencies.

Salary Range: $164,624-214,011 plus 20% bonus

At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.

Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.

Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) – health and dependent

Position Responsibilities may include, but not limited to

  • Define and execute the enterprise analytics roadmap aligned with business objectives
  • Foster a culture of data-driven decision-making across departments
  • Manage and mentor a team of analysts, data scientists, and BI developers
  • Oversee design and implementation of analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Champion data governance and build data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Implement predictive modeling, statistical analysis, AI and machine learning where applicable
  • Leverage Python for advanced analytics, automation, and integration with Databricks workflows
  • Stay current with emerging technologies and recommend enhancements to the analytics stack
  • Monitor and manage Analytics services demand, aligning expectations and delivery to highest priority and value
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights
  • Present findings and recommendations to executive leadership in clear, compelling formats

    • Required Skills and Experience

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8+ years in analytics roles, with 3+ years in leadership positions
  • Demonstrated ability to develop and performance manage analytics professionals
  • Data science and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Hands-on experience with Databricks for data engineering and analytics workflows
  • Proficiency in Python for data analysis, automation, and integration
  • Strong skills in Fabric and Power BI for semantics, business intelligence and data visualization
  • Solid understanding of SQL, Python, data modeling, and ETL processes
  • Expertise in data and analytics supporting healthcare sales, operations and delivery
  • Demonstrated ability to deliver projects and with undefined, large and/or complex scope
  • Expert storyteller, regularly leverages data and visualization techniques to secure actions against recommendations and mentors others in better use of data in story-telling
  • Exceptional communication and stakeholder partnership skills
  • Ability to translate complex data into actionable business insights and business problems into analytics solutions
  • Data Product lifecycle
  • Agile delivery experience

    • Preferred Skills and Experience

  • Master’s degree in Data Science, Computer Science, Statistics, Economics 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 

    • Physical Requirements

  • 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
    • Candidatar-se agora

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