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Data Analyst Data Science Jobs in Idaho (NOW HIRING)

Sr. Technical Data Analyst

Boise, ID ยท On-site

$81K - $103K/yr

Bachelor's degree in data analytics, statistics, accounting, finance, computer science, or related discipline. * 5+ years of relevant experience in business intelligence, financial/investment ...

Sr. Technical Data Analyst

Boise, ID ยท On-site

$81K - $103K/yr

Bachelor's degree in data analytics, statistics, accounting, finance, computer science, or related discipline. * 5+ years of relevant experience in business intelligence, financial/investment ...

Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability. * Actively contribute to model reviews, experimental design ...

Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability. * Actively contribute to model reviews, experimental design ...

Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability. * Actively contribute to model reviews, experimental design ...

... analytical gaps; drive improvements to data science workflows and model reliability. โ€ข Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment ...

... analytical gaps; drive improvements to data science workflows and model reliability. โ€ข Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment ...

Work closely with data engineers, data scientists, and the Enterprise Data and Department Data analysts to ensure data quality processes are comprehensive in design and coverage. * Conduct research ...

Expert in statistical techniques for data analysis using R * Expert in creating predictive model ... Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization ...

Lead AI and Data Science Engineer II

Boise, ID ยท On-site

$97K - $128K/yr

Analytics & Data Science * Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to ...

Data Scientist III

Boise, ID ยท On-site

$110 - $165/hr

Demonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods.

Demonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods.

Demonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods.

... analytics and AI.Key ResponsibilitiesParticipate as a member of a data science team.May provide technical leadership for small project teams depending on experience and project needs.Apply technical ...

Demonstrates an in-depth understanding of key analytical/machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods.

Showing results 21-40

Data Analyst Data Science information

See Idaho salary details

$12

$34

$59

How much do data analyst data science jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data analyst data science in Idaho is $34.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.86 and $41.78 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

What cities in Idaho are hiring for Data Analyst Data Science jobs?

Cities in Idaho with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science 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 $71,701 per year, or $34.5 per hour.

Sr. Technical Data Analyst

Clearwater Analytics

Boise, ID โ€ข On-site

$81K - $103K/yr

Other

Re-posted 7 days ago


Job description

Job Summary:
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, Google Cloud Platform, 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.