Director Of Data Analytics Jobs in Idaho
Director Of Data Analytics jobs in Idaho are concentrated in Boise, Coeur d'Alene, and Idaho Falls, where employers like Micron Technology, Idaho National Laboratory, and Blue Cross of Idaho maintain established analytics functions and hire at the director level. Demand is strongest in data governance, predictive modeling, and business intelligence strategy, reflecting the state's growth in semiconductor manufacturing, energy research, and healthcare. Competition for senior analytics leadership is real, but openings appear consistently across both private-sector tech and mission-driven institutions. See the openings below and apply to the ones that match your experience.
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Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles and will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self‑service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform‑related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud‑based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure‑as‑code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross‑functional teams with data engineering, security, and business stakeholders.
- Exposure to large‑scale data platforms and integration with enterprise data platforms.
- Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1
Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
Summary
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles and will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self‑service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform‑related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud‑based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure‑as‑code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross‑functional teams with data engineering, security, and business stakeholders.
- Exposure to large‑scale data platforms and integration with enterprise data platforms.
- Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **
#LI-MH1
See All 45 Director Of Data Analytics Jobs in Idaho
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Find JobsDirector Of Data Analytics Jobs by City in Idaho
Where Idaho roles are concentrated, by current openings.
Director Of Data Analytics Job Market in Idaho
A snapshot from current Idaho openings, updated as new roles post.
Who's Hiring
- Micron Technology8
- Simplot Company4
- Clearwater Analytics (CWAN)3
- ICCU2
- Ryder System2
Top Industries Hiring
- Electronics & Hardware9
- Investment & Asset Management4
- Agriculture & Farming3
- Insurance2
- Banking & Financial Services2
What Idaho Employers Look For
The qualifications that appear most often in director of data analytics jobs across Idaho.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Seven or more years of progressive analytics experience including team leadership
- Proficiency in SQL, Python, or R alongside enterprise BI platforms such as Tableau or Power BI
- Demonstrated experience building and managing data analytics teams in a cross-functional environment
- Strong background in translating complex data findings into actionable strategy for executive stakeholders
- Experience with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise setting
Director Of Data Analytics Jobs in Idaho: Frequently Asked Questions
How do you become a director of data analytics in Idaho?
The director of data analytics role in Idaho has no state-issued license or registration requirement. Most Idaho employers expect a bachelor's degree at minimum, with a master's in data science, statistics, or business analytics increasingly preferred for director-level roles. Candidates typically build toward the role through senior analyst or analytics manager positions, demonstrating both technical depth in tools like SQL and Python and the leadership experience needed to manage teams and present insights to executive audiences.
Which companies hire director of data analyticss in Idaho?
Idaho director of data analytics roles are posted by Micron Technology, Simplot Company, and Clearwater Analytics (CWAN) and others right now, based on current listings on Migrate Mate as of July 2026. Idaho's mix of semiconductor, healthcare, and energy employers means director-level analytics openings appear across both large corporations and research-driven institutions headquartered or operating in the state.
Which Idaho cities have the most director of data analytics jobs?
Boise, Meridian, and Eagle have the most director of data analytics openings in Idaho. Boise drives the bulk of demand as the state's economic center, home to Micron Technology's major operations, large healthcare systems, and a growing financial services sector, while Idaho Falls benefits from proximity to Idaho National Laboratory and its substantial data and research workforce.
Are there remote director of data analytics jobs in Idaho?
Yes, and more than most fields, because director of data analytics work is largely desk-based and output-driven. About 28% of director of data analytics openings tied to Idaho are remote or hybrid as of July 2026, reflecting broader trends in analytical leadership roles. The parts of the role most amenable to remote work include strategic planning, reporting, and stakeholder communication, while on-site presence is more common during team-building and cross-departmental planning cycles.
How can I get hired as a director of data analytics in Idaho with little or no experience?
The most realistic path into Idaho's analytics leadership pipeline starts with a senior analyst or analytics engineer role at an established employer like Micron Technology, St. Luke's Health System, or Idaho Power, where internal promotion tracks exist for high-performing individual contributors. Building a portfolio of end-to-end analytics projects and earning credentials such as the Google Data Analytics Certificate or an AWS data specialty certification gives candidates an edge when competing for team lead roles that serve as the step just below director. Adjacent roles in data engineering or business intelligence management are also common lateral entry points.
Where can I find and apply to director of data analytics jobs in Idaho?
You can find and apply to director of data analytics jobs in Idaho on Migrate Mate, which lists current Idaho openings in one place. Search the listings, find the roles that fit your experience and location, and apply directly to the ones that match.
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