1

Temporary Data Analyst Jobs in Raleigh, NC (NOW HIRING)

QC Data Engineer

Holly Springs, NC · Hybrid

$45 - $55/hr

Analyze existing processes to identify opportunities for automation, optimization, and improved ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

New

Analyze recruitment metrics and trends to support data-informed recommendations and continuous improvement efforts. * Collaborate with HR partners, campus stakeholders, University Temporary Services ...

Research Technician (Lascelles)

Raleigh, NC

$15.75 - $21.50/hr

... data; collecting gait analysis data; colecting ST data; QC on data; and entering data into ... Health Insurance for Temporary Employees * Enhance your career with LEAD courses * Attend non ...

Analyze data and communicate results in clear, well-documented reports. * Author and maintain ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

IT Technical Specialist

Durham, NC · On-site +1

$107K/yr

Conduct data analysis and provide actionable insights based on findings. * Collaborate with ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

New

Research Assistant

Raleigh, NC · On-site

$18.75 - $25.75/hr

... data analysis and effectively communicate findings to research scientists. 4. Personnel Supervision and Training * Supervise undergraduate and temporary staff engaged in field and data collection ...

Research Assistant

Raleigh, NC

$16.75 - $23.25/hr

... and analyzing data. Additional tasks may be assigned to this position in other relevant areas ... Temporary-Professional NonFaculty Working Title Research Assistant

next page

Showing results 1-20

Temporary Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do temporary data analyst jobs pay per year?

As of Jun 17, 2026, the average yearly pay for temporary data analyst in Raleigh, NC is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 are the most commonly searched types of Data Analyst jobs in Raleigh, NC? The most popular types of Data Analyst jobs in Raleigh, NC are:
What job categories do people searching Temporary Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Temporary Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Temporary Data Analyst jobs? Cities near Raleigh, NC with the most Temporary Data Analyst job openings:
Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

Senior AI Platform Engineer (Data and Analytics Cloud Engineer)

Truist

Raleigh, NC

$101K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Senior Engineer/Platform Leader accountable for designing, building, and operating secure, scalable AI/ML and Generative AI (GenAI) platforms in the cloud. This role develops and maintains reusable platform capabilities (e.g., model and prompt development environments, feature/model/prompt management, retrieval and knowledge-grounding patterns, data access patterns, CI/CD automation, evaluation/testing, and observability) so teams can deliver business outcomes faster while meeting Truist technology standards, security requirements, and regulatory obligations.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  • Design, build, and execute the AI/ML and GenAI platform strategy aligned to enterprise architecture, security, and risk standards.

  • Own the engineering and lifecycle management of AI/ML platform components (e.g., development workspaces, training/inference patterns, model registry, feature storage patterns, experiment tracking, prompt/version management, retrieval-augmented generation (RAG) enablement, and reusable templates) for safe and deliberate consumption across the organization.

  • Establish and champion DevSecOps practices for platform delivery, including GitLab source control, build automation, and CI/CD pipelines for infrastructure and application deployments.

  • Deploy infrastructure as code (IaC) to the cloud using Terraform modules and pipelines; define standards for environments, networking, identity, secrets, encryption, logging, and configuration management.

  • Partner with Cybersecurity, Risk, and other 2nd line of defense teams to implement and evidence required security controls (e.g., IAM least privilege, network segmentation, encryption, vulnerability management, audit logging, and policy-as-code) across platform services.

  • Implement governance patterns for AI/ML and GenAI (e.g., model and prompt lifecycle controls, lineage/traceability for data, prompts, and outputs, approvals, change management, risk assessments, and operational readiness) consistent with enterprise data governance and regulatory obligations.

  • Provide technical leadership and hands-on engineering to solve complex platform problems (performance, reliability, scalability, cost, and security), and guide engineers through designs, reviews, and delivery.

  • Build platform reliability through automation and observability (monitoring, logging, tracing, SLOs), and partner with production support teams to increase resiliency, reduce toil, and improve time to recover.

  • Enable self-service platform consumption via standardized APIs, reusable pipelines, templates, and documentation; in an Agile environment, may serve as an Agile/DevSecOps champion to accelerate delivery while maintaining compliance.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Undergraduate degree in either computer science, analytics, data engineering, finance or equivalent degree.
2. At least 3 years of experience driving enterprise data strategy, data execution, data engineering or software delivery
3. Expert problem solving skills and being able to define detailed strategies
4. Experience in financial services or payments industry
5. Experience in meeting regulatory obligations and operating in a highly regulatory environment on the cloud
6. Experience in building a high performing team

Preferred Qualifications:

  • Master's degree and/or 8+ years of progressive experience delivering complex cloud platforms, preferably supporting AI/ML or analytics workloads at enterprise scale.

  • Experience building AI/ML platforms and/or MLOps capabilities (e.g., training/inference automation, model packaging and deployment, model registry, experiment tracking, and operational monitoring).

  • Experience with container platforms and orchestration (e.g., Kubernetes/EKS), API enablement, and modern ML tooling (e.g., Python ML ecosystem) to operationalize models and GenAI services.

  • Deep expertise in AWS (compute, networking, security/IAM, logging/monitoring, and managed services) and moderate experience with Azure services and deployment patterns.

  • Hands-on DevOps/DevSecOps experience building CI/CD pipelines (GitLab), including automated testing, security scanning, artifact management, and controlled deployments across environments.

  • Strong infrastructure-as-code experience deploying cloud components using Terraform; ability to build reusable modules and enforce standards/guardrails.

  • Relevant cloud and security certifications (preferred), such as AWS Solutions Architect/DevOps Engineer, AWS Security Specialty, Azure Administrator/Architect, and/or Terraform certification; strong mentoring/coaching skills for engineers distributed across onshore and offshore teams.

The annual base salary for this position is $130000 - $170000.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

EEO is the Law E-Verify IER Right to Work


What Truist employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Truist logo

About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019