Data Operations Analyst Jobs in Idaho
Data Operations Analyst jobs in Idaho concentrate in the technology, financial services, healthcare, and agricultural technology sectors, with a market that has grown steadily as Boise's tech corridor continues to attract enterprise employers. Most of the hiring is in Boise, Nampa, and Idaho Falls, where established employers such as Micron Technology, St. Luke's Health System, and Idaho Power maintain large data and analytics teams. Demand is strongest for analysts with expertise in ETL pipeline management, SQL-based reporting, and data quality governance. 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 39 Data Operations Analyst Jobs in Idaho
Find roles in Idaho that match your experience and apply in just a few clicks.
Find Data Operations Analyst JobsData Operations Analyst Jobs by City in Idaho
Where Idaho roles are concentrated, by current openings.
Data Operations Analyst Job Market in Idaho
A snapshot from current Idaho openings, updated as new roles post.
Who's Hiring
- Paylocity5
- Simplot Company4
- Micron Technology3
- Clearwater Analytics (CWAN)3
- ICCU2
Top Industries Hiring
- Accounting & Auditing4
- Electronics & Hardware4
- Agriculture & Farming3
- Investment & Asset Management3
- Insurance2
What Idaho Employers Look For
The qualifications that appear most often in data operations analyst jobs across Idaho.
- Bachelor's degree in information systems, computer science, or a closely related field
- Proficiency in SQL and at least one ETL or data integration platform
- Experience maintaining data quality standards and governance documentation
- Familiarity with business intelligence tools such as Tableau, Power BI, or Looker
- Ability to troubleshoot data pipeline failures and escalate issues to engineering teams
- Strong written communication skills for translating data findings to non-technical stakeholders
Data Operations Analyst Jobs in Idaho: Frequently Asked Questions
How do you become a data operations analyst in Idaho?
Most data operations analyst roles in Idaho require a bachelor's degree in information systems, data science, computer science, or a related field. No state-issued license applies to this role in Idaho. Employers across Boise's tech and healthcare sectors most commonly look for candidates who have completed coursework or project work involving SQL, data pipelines, and reporting tools, along with any vendor certifications in platforms like Snowflake, dbt, or Microsoft Azure that demonstrate hands-on capability.
Which companies hire data operations analysts in Idaho?
Companies currently hiring data operations analysts in Idaho include Paylocity, Simplot Company, and Micron Technology, per current listings on Migrate Mate as of July 2026. Idaho's hiring activity is concentrated among enterprise technology firms, regional healthcare systems, utilities, and financial services companies that maintain large internal data infrastructure teams in the Boise metro.
Which Idaho cities have the most data operations analyst jobs?
Boise, Meridian, and Idaho have the most data operations analyst openings in Idaho. Boise drives the majority of demand as the state's primary technology and corporate headquarters hub, home to major employers in semiconductors, healthcare, and financial services, while Nampa and Idaho Falls contribute openings from regional operations centers, utilities, and healthcare networks serving their surrounding communities.
Are there remote data operations analyst jobs in Idaho?
Yes, and more than most fields. Data operations analyst work is largely desk-based and systems-driven, which makes it well suited to remote arrangements. About 20% of data operations analyst openings tied to Idaho are remote or hybrid as of July 2026, reflecting how broadly employers accept distributed teams for this role. Pipeline monitoring, reporting, and data quality tasks are the most commonly performed remotely, while on-site presence is more often required for roles embedded within operations or warehouse data teams.
How can I get hired as a data operations analyst in Idaho with little or no experience?
The most realistic entry path is through a data analyst associate or junior data coordinator role at one of Idaho's large healthcare systems or technology employers, such as St. Luke's Health System or Micron Technology, both of which recruit new graduates into structured analyst development programs. Candidates coming from adjacent roles in operations coordination, database administration, or IT support often make a lateral move into data operations by demonstrating SQL proficiency and familiarity with data validation workflows. Building a portfolio of documented pipeline or reporting projects and earning a foundational certification in a platform like Microsoft Azure or Google Cloud gives applicants a concrete edge with Idaho hiring managers.
Where can I find and apply to data operations analyst jobs in Idaho?
You can find and apply to data operations analyst jobs in Idaho on Migrate Mate, which lists current Idaho openings in this role. Search the listings to find positions that fit your experience level, location preference, and specialization, then apply directly to the ones that match.
See All 39 Data Operations Analyst Jobs in Idaho
Find roles in Idaho that match your experience and apply in just a few clicks.
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