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Temporary Data Analyst Jobs in Silver Spring, MD

Sigmatech, Inc.

Data Analyst

Arlington, VA · Hybrid

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Sigmatech, Inc.

Data Analyst

Arlington, VA · Hybrid

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

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Program Analyst (Data Call)

Alexandria, VA · On-site

$143K/yr

The incumbent serves as a Program Analyst, responsible for review of significant areas of DoW ... Applicants who have held a non-temporary General Schedule (GS) position within the last 52 weeks ...

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Data Analytic Manager

Baltimore, MD · On-site

$125K/yr

As a Data Analytic Manager, you will be responsible for the administrative and technical products ... Candidates who are current Federal employees serving on a non-temporary competitive appointment ...

USAJOBS - Search

Data Analytic Manager

Washington, DC · On-site

$125K/yr

As a Data Analytic Manager, you will be responsible for the administrative and technical products ... Candidates who are current Federal employees serving on a non-temporary competitive appointment ...

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All JobsData Analyst JobsTemporary Data Analyst JobsTemporary Data Analyst Jobs in Silver Spring, MD

Temporary Data Analyst information

See Silver Spring, MD salary details

$35K

$85.2K

$140.2K

How much do temporary data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for temporary data analyst in Silver Spring, MD is $85,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $100,000.00 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.
More about Temporary Data Analyst jobs

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The most popular types of Data Analyst jobs in Silver Spring, MD are:

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Temporary Data Analyst jobs near you
Infographic showing various Temporary Data Analyst job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,595 per year, or $41.2 per hour.

Data Analyst

Sigmatech, Inc.

Arlington, VA • Hybrid

Full-time

Re-posted 19 days ago

Job description

About Our Organization

DASA DE&C manages the Army's Security Assistance and Armaments Cooperation programs that engage allies and partners across the full spectrum of Army acquisition to achieve force dominance. We lead the U.S. Army Security Assistance Enterprise (ASAE), providing leadership, resource management and policy oversight. We build the capabilities of allies and partners, strengthen relationships with our foreign partners, and strengthen the U.S. industrial base.

Position Overview

As a Data Analyst, you will lead complex analytical projects and advise IAD leadership on the development and execution of enterprise data strategies. Your primary function is to analyze how the directorate uses data and recommend improvements to its processes, systems, and strategies. You will oversee projects to modernize data infrastructure, lead initiatives to enhance data-driven insights, and mentor other analysts on best practices. This position requires a unique blend of technical data expertise, strategic thinking, and the ability to advise senior leaders on transforming complex data into actionable organizational improvements.

Core Duties and Responsibilities

  • Strategic Advisory & Stakeholder Engagement: Serve as a strategic advisor to Army and DoD leadership, providing actionable insights and recommendations to improve enterprise-level decision-making processes. Build and maintain strong working relationships with OSD, industry partners, and the ASAE. Represent IAD's analytical capabilities in high-level engagements and cross-functional working groups.
  • Enterprise Analytics & Process Improvement: Conduct in-depth analysis of demand forecasting, production data, and resource planning to identify opportunities for organizational improvement. Lead projects to enhance automated workflows for data transformation, validation, and ingestion into Army and OSD platforms such as Vantage and Advana.
  • Organizational Enablement & Innovation: Advise on the design and development of innovative data applications and tools to replace legacy systems, improving efficiency and data accessibility. Identify and recommend process improvements across the data lifecycle, and support user adoption of new tools and methods to align data initiatives with mission objectives.

Essential Requirements

  • Security Clearance: Must possess and maintain an active Secret security clearance.
  • Education: Bachelor's degree in a Science, Technology, Engineering, Math (STEM), Business, or a related field.
  • Experience: A minimum of six (6) years of professional experience in data analytics, business analysis, or a related field.
  • Technical Skills: Advanced proficiency in MS Excel (e.g., Power Query, VBA), SQL, and Python. Experience building and maintaining dashboards (e.g., Tableau, Qlik Sense, Power BI) and automating reporting pipelines.
  • Leadership & Communication: Demonstrated ability to lead technical projects, manage complex stakeholder relationships, and communicate analytical concepts effectively to senior leaders.

Preferred Qualifications

  • Experience: Previous experience working within the U.S. Government (Army preferred). Experience leading cross-functional data projects.
  • Certifications: Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business analytics.
  • Domain Knowledge: Familiarity with Army acquisition processes, security cooperation programs, or defense industry practices.

Work Environment

  • Location: Arlington, VA.
  • Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY).
  • Schedule: This is a hybrid position requiring residency in the Washington D.C. metropolitan area.
  • Collaboration: Regardless of physical location, all team members are required to maintain a full virtual presence and actively participate in team meetings, discussions, and collaborative efforts via MS Teams, or other collaborative applications as directed during core business hours.