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Temporary Data Analyst Jobs in Boise, ID (NOW HIRING)

H R PUNDITS INC

Data Analyst V

Boise, ID · Remote

$130K/yr

... temporary tables in SQL 5 Strong skills in Python Pandas and data structures 6 Experience with data modeling (regression, NLP). This is a remote position.

Aston Carter

Collections And Deductions Analyst

Boise, ID · On-site

$23 - $24/hr

Advanced Excel skills, including Pivot Tables, VLOOKUPs, and data analysis * Experience with ERP ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Aston Carter

Collections And Deductions Analyst

Boise, ID · On-site

$23 - $24/hr

Advanced Excel skills, including Pivot Tables, VLOOKUPs, and data analysis * Experience with ERP ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Aston Carter

Collections And Deductions Analyst

Boise, ID · On-site

$23 - $24/hr

Advanced Excel skills, including Pivot Tables, VLOOKUPs, and data analysis * Experience with ERP ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Nampa School District

Temporary Landscaping

Nampa, ID · On-site

$14.25 - $17.75/hr

Ability to read, analyze and interpret governmental regulations and legal documents. Ability to ... Ability to define problems collects data, establish facts, and draw valid conclusions. OTHER SKILLS ...

US Department of the Treasury

Program Analyst

Boise, ID · On-site

$106K/yr

Experience analyzing project and operational data to identify problem areas, trends, deficiencies ... temporary appointment from a competitive referral certificate, known as time after competitive ...

LUMA

Temporary Harvest Inspector- Caldwell

Caldwell, ID · On-site

$16.45/hr

... enter testing data into proprietary database. Incumbent may be rotated on an as needed basis ... requirements and their risk analysis, logs, test results, training records and/or other ...

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All JobsData Analyst JobsTemporary Data Analyst JobsTemporary Data Analyst Jobs in Boise, ID

Temporary Data Analyst information

See Boise, ID salary details

$32.4K

$78.7K

$129.4K

How much do temporary data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for temporary data analyst in Boise, ID is $78,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a temporary data analyst?

A Temporary Data Analyst is a professional hired for a limited period to help organizations collect, process, and interpret data. They often assist with short-term projects, data clean-up, or to fill in during staff absences. Their responsibilities include analyzing datasets, creating reports, and providing actionable insights to support business decisions. Temporary Data Analysts typically have strong analytical skills, proficiency in data tools, and the ability to quickly adapt to new environments.

What are temporary jobs for a data analyst?

As a temporary data analyst, you analyze information to help solve problems ranging from sales figures to social media interactions to brand awareness. In this temporary position, you work with one client or employer on one project at a time as part of a contract. You might work with businesses, tech companies, government organizations, health care facilities, or educational institutes. Your responsibilities are to gather data and statistics and create reports for distribution. You typically use Excel and various data sources to analyze and update information. Other duties include performing data entry and supporting members of the analyst team as needed.

What types of projects and tasks can a temporary data analyst expect to work on during a typical assignment?

As a Temporary Data Analyst, you'll often be brought in to support short-term projects such as cleaning and organizing large datasets, generating routine or ad-hoc reports, or assisting with data migration efforts. You may also be tasked with analyzing trends, creating data visualizations, or providing insights to help teams make data-driven decisions. The work environment is usually fast-paced, with tight deadlines and close collaboration with permanent analysts, project managers, or business stakeholders to quickly deliver actionable results.

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

To thrive as a Temporary Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating complex data into actionable insights. These competencies enable quick adaptation, accurate analysis, and clear reporting, which are crucial for delivering results within limited project timelines.

What is the difference between Temporary Data Analyst vs Data Scientist?

AspectTemporary Data AnalystData Scientist
CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; advanced certifications
Work EnvironmentContract roles, short-term projects, business officesLong-term projects, research environments, tech companies
Employer & Industry UsageBusinesses seeking quick data insights, consulting firmsTech firms, research institutions, large enterprises
Search & Comparison IntentLooking for temporary data roles, entry-level opportunitiesSeeking advanced data roles, career growth

The main difference between a Temporary Data Analyst and a Data Scientist lies in their roles, experience, and project scope. Temporary Data Analysts typically handle short-term projects with basic data analysis skills, while Data Scientists work on complex models and long-term research. Both roles are essential in data-driven industries, but they differ in experience level and responsibilities.

Can I be a temporary data analyst in 3 months?

Becoming a temporary data analyst in three months is possible if you have prior experience or relevant skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. Typically, employers look for candidates with some technical knowledge and the ability to quickly learn new software, but completing a short-term training program or bootcamp can also help you qualify within that timeframe.

Can I be a temporary data analyst with no experience?

Temporary data analyst positions often require some familiarity with data analysis tools like Excel or SQL, but entry-level roles may be available for candidates with minimal experience if they demonstrate strong analytical skills and willingness to learn. Gaining relevant certifications or completing online courses can improve chances of securing such roles without prior experience.

Can you be a temporary data analyst as a side hustle?

Yes, a temporary data analyst can often work as a side hustle if their schedule allows and they have the necessary skills in data analysis tools like Excel, SQL, or Python. Freelance or part-time data analysis projects are common options for supplementing income outside of full-time roles.
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Temporary Data Analyst jobs near you
Infographic showing various Temporary Data Analyst job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $78,659 per year, or $37.8 per hour.

Data Analyst V

H R PUNDITS INC

Boise, ID • Remote

$130K/yr

Full-time

Re-posted 19 days ago

Job description

Data Analyst V
Location: USA Remote 
Responsibilities
  • Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital 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, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
  • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
  • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
  • Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
  • Advocate for customers and influence corrective actions
Please submit 10+ years profiles only
 
Must Have
1 Very technical with marketing background
2 Customer segmentation for marketing
3 Customer support
4 Comfortable with temporary tables in SQL
5 Strong skills in Python Pandas and data structures
6 Experience with data modeling (regression, NLP).

This is a remote position.