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Temporary Data Analyst Jobs (NOW HIRING)

Monster Energy

Data Quality Analyst (Temporary)

Corona, CA · On-site

$35.33 - $47.11/hr

This is a Temporary position only The Impact You'll Make: * Develop data quality and standards based on analytical research to avoid similar problems in the future. These standards will include ...

New

DivIHN Integration Inc

Data Analyst

Saint Paul, MN · On-site

$27 - $29/hr

... temporary and permanent talent. Visit us at -a-job/ to learn more and view our open positions ... Data Analyst Location: St. Paul, MN Duration: 12 Months Only W2 candidates are eligible for this ...

DivIHN Integration Inc

Data Analyst II

Corning, NY · On-site

... with exceptional temporary and permanent talent. Visit us at to learn more and view our open ... Data Analyst II Duration: 12 Months Location: Corning, NY Only W2 candidates are eligible for this ...

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.

Belcan

Data Analyst I

Alexander, AR

$21/hr

Analyze process and fill time data using Excel * Record and maintain accurate data collection ... We offer excellent opportunities for contract, temporary, temp-to-hire, and direct assignments. We ...

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Contract / C2C (temporary) Senior Data Analyst. Our client has a contract need for a Senior Data Analystto assist with their project to implement the Workday ERP system. The Business Process teams ...

campus4tech

Business Data Analyst

Iselin, NJ · On-site

Temp 12 Months Key Responsibilities: • Reporting & Dashboards: Develop, maintain, and automate ... Analyze business data to identify trends, opportunities, and areas for improvement; support data ...

DivIHN Integration Inc

Data Analyst I

Fort Worth, TX · On-site

... temporary and permanent talent. Visit us at -a-job/ to learn more and view our open positions ... Data Analyst I Location: On-site at Fort Worth, TX Duration: 3 Months (Initial contract with a high ...

Corvel

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ...

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How much do temporary data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for temporary data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
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Cities with the most Temporary Data Analyst job openings:

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The most popular types of Data Analyst jobs are:

What states have the most Temporary Data Analyst jobs?

States with the most job openings for Temporary Data Analyst jobs include:

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Temporary Data Analyst jobs near you
Infographic showing various Temporary Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Central Mutual Insurance Company

Van Wert, OH • On-site

Full-time

Medical, Retirement

Re-posted 26 days ago

Job description

Location:Van Wert, OH; Dublin, OH
Work Model: Hybrid
Position type: Full time - salary
We're a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.
Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!
Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting requirements and strategic goals.
This is an opportunity for a curious, detail-oriented professional who thrives on problem solving and continuous improvement. You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality, collaboration, and innovation.
Key Responsibilities of the Role
  • Prepare and submit regulatory reports accurately and on time
  • Ensure adherence to & reinforcement of delivery best practices
  • Actively engaged in the design and implementation of repeatable processes
  • Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices
  • Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Track regulatory updates and adapt reporting processes accordingly
  • Maintain documentation of processes and support internal/external audits
  • Identify improvement opportunities in reporting systems and workflows
  • Assume department responsibility as the Data Steward ensuring the fitness of data elements
  • Collaborate regularly with IT, Analytics, Actuarial, Finance, and other Business units to ensure data is accurate
  • Display critical thinking and evaluation when researching and responding to inquiries and referrals
  • Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.)
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
  • Guide & influence strategic data solutions

Required Qualifications
  • Bachelor's degree in Computer Science or related field and 2 years of related experience
  • Or 4 years of related experience

Knowledge, Skills, and Abilities
  • Previous regulatory reporting or insurance experience
  • Working knowledge of Azure DevOps or other code repositories
  • Experience with object-oriented programming languages, such as Python
  • Advanced Alteryx expertise
  • Advanced SQL expertise
  • Data Modeling experience
  • Strong analytical and problem-solving skills
  • Ability to set priorities and plans to meet business goals and objectives
  • Ability to shift & balance strategic, high-level thinking with attention to detail
  • Ability to lead, motivate & influence without having formal authority
  • Ability to act as a thought leader with a focus on innovative & high-quality solutions
  • Ability to work both independently and in a team environment with internal /external customers
  • Ability to understand, design & implement end-to-end BI workflows
  • Strong organizational, planning & problem-solving skills
  • Strong communication & interpersonal skills
  • Ability to understand Central Insurance's policies and processes

Total Rewards
Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees' financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits
Work Authorization
Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-AS1 #LI-Hybrid

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