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Temporary Data Analyst Jobs (NOW HIRING)

Associate Data Analyst

New York, NY · On-site

$70K - $77K/yr

Regular * End Date if Temporary: * Hours Per Week: 35 * Standard Work Schedule: * Building ... Provide support for internal ad-hoc reporting and data analytics requests and various internal ...

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 ...

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

Be Seen First

Are you a rockstar data analyst?! Do you see stories where others only see spreadsheets? We're looking for a Data Analyst who can turn data into decisions! POSITION SUMMARY: The Data Analyst I is a ...

... 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 ...

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Temporary Data Analyst information

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$34K

$82.6K

$136K

How much do temporary data analyst jobs pay per year?

As of Jun 13, 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.
What cities are hiring for Temporary Data Analyst jobs? Cities with the most Temporary Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? 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:
What job categories do people searching Temporary Data Analyst jobs look for? The top searched job categories for Temporary Data Analyst jobs are:
Associate Data Analyst

Associate Data Analyst

Columbia University

New York, NY • On-site

$70K - $77K/yr

Full-time

Posted 21 days ago


Job description

  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary: Regular
  • End Date if Temporary:
  • Hours Per Week: 35
  • Standard Work Schedule:
  • Building: Lewisohn Hall
  • Salary Range: 70,000 - 77,800

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Position Summary
The Columbia University School of General Studies (GS) is the finest liberal arts college in the United States dedicated to making Ivy League education accessible to nontraditional students. GS was founded in 1947 on the mission of expanding access to elite higher education, and it remains the most diverse college in the Ivy League, with many transfer, first-generation, and international students. GS students are fully integrated with Columbia's broader undergraduate population and are taught by Columbia's celebrated faculty.
The School of General Studies is currently looking for a self-motivated, creative and collaborative reporting analyst who shares our passion for supporting non-traditional students, to join our enrollment management team.
Under the supervision of the Director of Software Development and Analytics, the incumbent performs a wide range of data analyses to assist with the execution and improvement of operational processes. The incumbent will also assist in the management, administration, and customization required to effectively maintain the technical applications used by staff throughout the School of General Studies
Responsibilities
  • Create and develop routine reports utilizing crystal report, SQL, Excel and R/Python, and Crystal Reports.
  • Create reports in Operation Group's IT systems. These systems include but are not limited to Technolutions Slate, Salesforce Advisor Link, and enterprise reporting.
  • Design and modify database objects and create/alter stored procedures, functions and views
  • Provide support for internal ad-hoc reporting and data analytics requests and various internal process improvement initiatives
  • Work with internal teams to assess and evaluate reporting needs including gathering user requirements and clarifying client objectives.
  • Assess reporting results through data investigation, analysis, and evaluation
  • Proactively identify and resolve technical issues or data discrepancies by utilizing internal documentation system logs and research
  • Maintain data integrity and ongoing quality control of delivered reports
  • Create and/or update Requirement, Process, Design, and Technical Documentations.
  • Demonstrates excellent customer service skills when interacting both internally and externally
  • Communicates on complex or sensitive issues on draft such responses for clients, manager or leadership.
  • Performs other duties as assigned by Management

Minimum Qualifications
  • Minimum of two years of related experience or the equivalent combination of education and experience preferred. Must have a general understanding of relational database architecture and object-oriented programming and SQL. Experience with Slate, Salesforce, Crystal Reports, Python, or R preferred. Ability to effectively track and prioritize multiple competing requests to ensure all deadlines are met in accordance with stakeholder expectations. Experience with project management, business process management, client management, business analysis, and a software development framework preferred.

Preferred Qualifications
  • Bachelor's degree or equivalent required in computer science, Information Systems, or a related quantitative field.
  • Experienced with relational databases
  • Experienced with SQL programming and Python/R.
  • Outstanding attention to detail, as well as ability to conceive of the larger picture in relation to strategic planning required.
  • Ability to prioritize and manage multiple tasks under short and changing deadlines, while ensuring timely and accurate execution.
  • Excellent analytical, communication, organizational, and interpersonal skills required.
  • Proven record of collaborative and independent work.
  • Ability to exercise sound judgment, discretion, and tact in a professional setting.

Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.