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Data Analytics Jobs in Boise, ID (NOW HIRING)

Clearwater Analytics

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

Technical Data Analyst uses business intelligence and reporting expertise to build the dashboards ... analytics. Additionally, the analyst partners with clients, investment teams, and project ...

Workiva

Spring 2027 Intern - Data Analytics

Meridian, ID · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Workiva

Spring 2027 Intern - Data Analytics

Nampa, ID · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Workiva

Spring 2027 Intern - Data Analytics

Boise, ID · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Workiva

Spring 2027 Intern - Data Analytics

Nampa, ID · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Workiva

Spring 2027 Intern - Data Analytics

Boise, ID · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Workiva

Spring 2027 Intern - Data Analytics

Meridian, ID · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Hoffman Construction

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies for project teams and corporate entities. * Participate in the ...

New

Hoffman Equipment Yard

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies for project teams and corporate entities. * Participate in the ...

New

Hoffman Construction Company

Data Analyst

Boise, ID · On-site

$65 - $100/hr

Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies for project teams and corporate entities. * Participate in the ...

New

Hoffman Construction

Data Analyst

Boise, ID · On-site

$65K - $100K/yr

Participate in the creation and continuous enhancement of data analytics tools to promote predictability and operational efficiencies for project teams and corporate entities. * Participate in the ...

New

Ericsson

IT Data Analyst

Boise, ID · On-site

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 ...

Ericsson

IT Data Analyst

Boise, ID · On-site

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 ...

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Data Analytics information

See Boise, ID salary details

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$89

How much do data analytics jobs pay per hour?

As of Aug 30, 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 are popular job titles related to Data Analytics jobs in Boise, ID?

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

What job categories do people searching Data Analytics jobs in Boise, ID look for?

The top searched job categories for 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:

Data Analytics jobs near you
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.

Sr. Technical Data Analyst

Clearwater Analytics

Boise, ID • On-site

Full-time

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

Job description

Technical Data Analyst

Technical Data Analyst uses business intelligence and reporting expertise to build the dashboards and reports our clients and their end users rely on to report investment portfolio information to their own clients. These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics. Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables. Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.

Responsibilities:

  • Design, build, and maintain the BI dashboards and reports our clients and their end users use for investor and portfolio reporting.
  • Produce accurate, timely investment and financial reporting—including performance, portfolio, and ad hoc analytics—tailored to client and end-user needs.
  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionable for clients and their end users.
  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.
  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them into client-ready deliverables.
  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.
  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.
  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.

Required Skills:

  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).
  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.
  • Experience designing and automating reporting dashboards and recurring report production.
  • Deep understanding of investment data.
  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
  • Understanding of database design and data warehouse principles.
  • Knowledge of one or more programming languages (e.g., Java, Python, VBA).
  • Proficiency in data manipulation and data cleansing techniques.
  • Knowledge of data governance and best practices in data management.
  • Continuous improvement mindset for self and team.
  • Ability to work collaboratively in a cross-functional team environment.
  • Ability to work with large datasets and perform data mining tasks.
  • Strong computer skills, including proficiency in Microsoft Office.
  • Excellent attention to detail and strong documentation skills.
  • Outstanding verbal and written communication skills.
  • Strong organizational and interpersonal skills.
  • Exceptional problem-solving abilities.

Education and Experience:

  • Bachelor's degree in data analytics, statistics, accounting, finance, computer science, or related discipline.
  • 5+ years of relevant experience in business intelligence, financial/investment reporting, data analytics, and visualization.
  • Hands-on experience with SQL and NoSQL databases.
  • Experience with data integration and ETL (extract, transform, load) processes.
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.

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