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Data Analytics Jobs in Idaho (NOW HIRING)

Micron Technology

Sr Data Scientist

Boise, ID · On-site

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers ...

Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers ...

1000 Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

$90 - $120/hr

Data Analysis & Anomaly Detection: Perform exploratory data analysis on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers ...

Boise Cascade

Strategic Planning Analyst Senior

Boise, ID · On-site

$74K - $92K/yr

Utilize data analytics tools to evaluate and communicate business case analyses to senior management. * Collaborate with internal teams and utilize external resources for accurate and timely ...

Boise Cascade

Strategic Planning Analyst Senior

Boise, ID · On-site

$95K - $135K/hr

Utilize data analytics tools to evaluate and communicate business case analyses to senior management. * Collaborate with internal teams and utilize external resources for accurate and timely ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers ...

Micron

Sr Data Scientist

Boise, ID

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates.Identify anomalies and outliers in ...

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All JobsData Analytics JobsData Analytics Jobs in Idaho

Data Analytics information

See Idaho salary details

$23

$51

$88

How much do data analytics jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data analytics in Idaho is $51.51, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $58.37 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Idaho?

The most popular types of Data Analytics jobs in Idaho are:

What are popular job titles related to Data Analytics jobs in Idaho?

For Data Analytics jobs in Idaho, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Idaho look for?

The top searched job categories for Data Analytics jobs in Idaho are:

What cities in Idaho are hiring for Data Analytics jobs?

Cities in Idaho with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,143 per year, or $51.5 per hour.

Senior Director, AI Workforce Innovation and People Analytics

Micron Technology, Inc

Boise, ID • On-site

$187 - $361/hr

Other

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

Job Summary

Senior Director, AI Workforce Innovation and People Analytics is a visionary leader responsible for driving the strategic integration of advanced technologies, AI, and Human Capital Management (HCM) solutions to transform workforce operations and elevate employee experience.

This role requires a strategic decision maker with strong judgement, who can influence senior stakeholders, lead enterprise change management, and shape a forward‑looking strategy grounded in data, innovation, and AI‑enabled capabilities. The ideal candidate brings intellectual curiosity, operates as an experimenter, and continuously explores new approaches to improving workforce effectiveness through AI‑powered and digital solutions.

AI, Analytics, Technology, and Integration
  • Lead enterprise AI strategy for HR and workforce systems, ensuring alignment with long‑term Human Capital Management (HCM) objectives.
  • Oversee the implementation and optimization of people systems, embedding AI capabilities to drive automation, intelligence, and efficiency.
  • Champion the use of AI and advanced analytics to streamline workforce management, enhance employee experience, and enable predictive decision‑making.
  • Act as a visionary leader for future‑state AI‑enabled HR technology architecture, continuously evaluating emerging innovations.
Business Process Design & Workforce Strategy
  • Develop and execute a forward‑looking AI‑enabled workforce strategy that aligns business processes with enterprise goals.
  • Redesign processes leveraging AI and digital tools to enhance productivity, reduce costs, and improve outcomes.
  • Lead transformation initiatives that enable intelligent, data‑driven, and digital‑first operating models.
  • Serve as a key decision maker, applying strong judgement to balance innovation, risk, and execution.
Workforce Insights & Data‑Driven Decision Making
  • Lead enterprise workforce insights and analytics capabilities, leveraging data and AI to inform business decisions.
  • Deliver actionable insights into workforce trends, performance, and behaviors to guide leadership strategy.
  • Build predictive models and scalable analytics frameworks to support workforce planning and optimization.
  • Translate insights into compelling narratives that drive executive influencing and alignment.
Innovation, Experimentation, and Continuous Improvement
  • Foster a culture of innovation grounded in curiosity, continuous learning, and AI experimentation.
  • Act as an experimenter, piloting AI solutions, automation tools, and new methodologies to improve workforce outcomes.
  • Drive a mindset of rapid testing, iteration, and data‑informed decision‑making.
  • Embed AI‑driven innovation into HR processes to create sustainable competitive advantage.
Change Management & Stakeholder Influence
  • Lead enterprise change management initiatives supporting AI adoption, digital transformation, and workforce innovation.
  • Influence senior leaders and cross‑functional stakeholders to embrace AI‑enabled ways of working.
  • Communicate complex AI‑driven insights and strategies clearly to diverse audiences.
  • Build strong partnerships across HR, IT, Finance, and business leaders to deliver enterprise‑wide impact.
Qualifications – Experience
  • Proven experience leading AI‑driven workforce transformation, digital delivery, and data‑driven decision‑making initiatives.
  • Strong background in Human Capital Management (HCM) systems and AI‑enabled technologies.
  • Demonstrated success driving enterprise change management and influencing executive stakeholders.
Qualifications – Leadership
  • Strategic thinker and visionary leader with strong decision‑making capabilities and sound judgement.
  • Ability to inspire, influence, and lead teams through AI‑enabled transformation and ambiguity.
  • Track record as a confident decision maker balancing innovation with execution.
Qualifications – Skills
  • Expertise in data analytics, AI applications, and predictive modeling.
  • Strong understanding of AI integration within HR systems and workforce management.
  • Deep capability in business process design, transformation strategy, and digital implementation.
  • Intellectual curiosity with a hands‑on, experimenter mindset.
Job Profile(s)

HRIS Manager 4 - HRIS Manager 4

Relocation Level: TBD

Salary and Benefits

US base salary range: $187,000.00 – $361,000.00 per year.

Additional compensation may include benefits, bonuses and equity.

Micron offers medical, dental, and vision plans, income protection, paid family leave, paid time‑off program, and paid holidays. For additional information, refer to the Benefits Guide posted on the Micron website.

Equal Opportunity Statement

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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