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Data Analytics Jobs in Boise, ID (NOW HIRING)

Collaborate with data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions * Facilitate discovery sessions ...

What you will do Partner with business stakeholders to gather, clarify, and document requirements for analytics, reporting, data products, semantic models, and AI-enabled solutions Translate ...

Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing team of data and analytics engineers. You will be responsible for defining and managing a long-term ...

Develops and executes the FSQA data and analytics strategy aligned to enterprise food safety, quality, and regulatory objectives * Owns FSQA data governance, including standardization of data ...

Develops and executes the FSQA data and analytics strategy aligned to enterprise food safety, quality, and regulatory objectives * Owns FSQA data governance, including standardization of data ...

Data and Performance Analyst

Boise, ID · On-site

$56K - $96K/yr

Minimum of 2 years of experience in business analytics, operational reporting, business intelligence, performance measurement, healthcare operations, finance or other data-driven analytical roles ...

Data and Performance Analyst

Boise, ID · On-site

$56K - $96K/yr

Minimum of 2 years of experience in business analytics, operational reporting, business intelligence, performance measurement, healthcare operations, finance or other data-driven analytical roles ...

Data Analyst V

Boise, ID · Remote

$130K/yr

... analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement. * Apply advanced statistical modeling, machine learning ...

Showing results 21-40

Data Analytics information

See Boise, ID salary details

$23

$52

$89

How much do data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics in Boise, ID is $52.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $59.04 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 Boise, ID?

The most popular types of Data Analytics jobs in Boise, ID are:

What cities near Boise, ID are hiring for Data Analytics jobs?

Cities near Boise, ID with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,379 per year, or $52.1 per hour.

IT Data Analyst

Ericsson

Boise, ID • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago


Ericsson rating

9.2

Company rating: 9.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

2nd of 101 rated telecommunications companies


Job description

Grow with us!
  • This role is a hybrid position with the expectation to work onsite (3) three days a week in Boise, Idaho and relocation is not offered for this position.
  • Ericsson Enterprise Wireless Solutions Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position.

About this opportunity
Ericsson Enterprise Wireless Solutions is seeking a Data Analyst to support business requirements gathering, exploratory data analysis (EDA), and technical specification development for analytics, data, and AI-enabled solutions. Based in Boise, ID (hybrid, 3 days onsite per week), this role sits within the Central Data & AI - Standards & Solutions team and reports to the Director, Data Analytics & AI. It serves as a key bridge between business stakeholders and technical delivery teams, translating complex or evolving business needs into clear, testable, and actionable requirements. The primary focus is front-end discovery, requirements definition, documentation, validation, and delivery coordination - not engineering build activities.
What you will do
  • Partner with business stakeholders to gather, clarify, and document requirements for analytics, reporting, data products, semantic models, and AI-enabled solutions
  • Translate ambiguous business requests into structured problem statements, user stories, acceptance criteria, and technical specifications
  • Conduct exploratory data analysis using SQL to validate assumptions, assess data availability, and identify data quality issues
  • Collaborate with data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions
  • Facilitate discovery sessions, requirements workshops, stakeholder interviews, and cross-functional alignment meetings
  • Create and maintain documentation including business requirements documents, process flows, metric definitions, test scenarios, and decision logs
  • Support Agile delivery by writing user stories, documenting acceptance criteria, and participating in sprint planning and prioritization
  • Identify gaps between stakeholder expectations, available data, and technical feasibility; proactively communicate risks and tradeoffs
  • Support user acceptance testing and promote consistent use of data definitions and standardized analytics practices

The skills you bring
Qualifications
  • Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science, Finance, or equivalent practical experience
  • 2+ years of experience in a data analyst, business analyst, BI analyst, product analyst, or similar requirements-focused role
  • 1-2 years of hands-on SQL experience (joins, filters, aggregations, CTEs, exploratory profiling)
  • Demonstrated ability to gather stakeholder requirements and translate them into clear documentation for technical teams
  • Strong written and verbal communication skills; able to adapt style for both technical and non-technical audiences
  • Experience with data visualization tools such as Tableau, Power BI, or equivalent
  • Understanding of data warehousing concepts (tables, views, dimensions, facts, grain)
  • Strong organizational skills with the ability to manage multiple workstreams and follow through on commitments

Nice to have
Familiarity with Snowflake, dbt, Jira, Azure DevOps, Confluence, or GitLab; exposure to Agile methodologies, data governance practices, Power BI semantic models, or AI/ML analytics initiatives
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: United States (US) || Hybrid: Boise, Idaho
Job details: IT Data Analyst
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.
Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Your Health
Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution.
Your Financial Security
We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits.
Your Time
Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Additional Benefits
Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

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