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Temporary Data Analyst Jobs in Silver Spring, MD

WSSC Water

Data Scientist

Laurel, MD

... temporary) Work Schedule Monday - Friday 8:00 AM - 5:00 PM Position Location Laurel Position ... Performs statistical analysis or operations research analysis of targeted databases for ...

Samprasoft

Business Analyst Senior

Mclean, VA

$94K - $122K/yr

... ext./Temp to Hire possibilities) Notes: * Will be working on Process Flows - MS Visio needed * Some data analytics experience * Writing business requirements, procedures, policies, job aids and ...

BAE Systems

Data Eng Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Analytic Services Inc

Data Engineer

Washington, DC

$129K - $155K/yr

Perform technical studies, systems analysis, and feasibility assessments to ensure designs meet ... Troubleshoot service, database, and user interface failures; implement temporary fixes and ...

E*Pro, Inc.

System Analyst

Mclean, VA

... Temp-to-Hire. In addition, our industry expertise and knowledge within financial services ... data anomalies in a quick time Experience in SDLC and Agile methodologies Provide inputs ...

Analytic Services Inc

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

We provide thought leadership for complex issues through independent analysis, and we deliver ... Troubleshoot service, database, and user interface failures; implement temporary fixes and ...

WSSC Water

Data Architect

Laurel, MD · On-site

$63.25 - $81.25/hr

... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... Design data architecture to support advanced analytics, machine learning, and AI workloads for ...

WSSC Water

Data Architect

Laurel, MD · On-site

$63.25 - $81.25/hr

... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... Design data architecture to support advanced analytics, machine learning, and AI workloads for ...

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

Temporary Data Analyst information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

How much do temporary data analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for temporary data analyst in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 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.
More about Temporary Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Silver Spring, MD? The most popular types of Data Analyst jobs in Silver Spring, MD are:
What are popular job titles related to Temporary Data Analyst jobs in Silver Spring, MD? For Temporary Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Temporary Data Analyst jobs in Silver Spring, MD look for? The top searched job categories for Temporary Data Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Temporary Data Analyst jobs? Cities near Silver Spring, MD with the most Temporary Data Analyst job openings:
Temporary Data Analyst jobs near you
Data Scientist

Data Scientist

WSSC Water

Laurel, MD

Full-time

Posted 5 days ago

Job description

Position Information
Functional Title Data Scientist Recruitment Category Type Standard Functional Category Information Technology Grade IT.15 FLSA Status Exempt Requisition Number 26-0233 Number of Vacancies 1 Job Level Non-Management Job Code N/A Job Description Summary Organization Name IT Application Services Reports to Division Manager, Data & Analytics Solutions Full or Part Time Full Time If Part Time how many hours per week Regular or Temporary Regular Position End Date (if temporary) Work Schedule
Monday - Friday 8:00 AM - 5:00 PM
Position Location Laurel
Position Summary Information
General Summary
This is a non-merit, employment-at-will contract position.
The Data Scientist will leverage data to drive insights and impact the organization's strategic decisions. The position is responsible for developing tools that support the analysis of structured, unstructured, and digital business data research studies and organizational metrics.
Essential Functions
  • Applies statistical techniques and tools for data mining and modeling of business applications to gather key organizational data and metrics
  • Performs statistical analysis or operations research analysis of targeted databases for productivity opportunity identification/discovery or specific decision-making
  • Develops and maintains statistical models & methodologies to predict, quantify, and/or forecast various patterns and gaps
  • Deploys, assesses the quality of and revises mathematical models to support the Commission's decision-making process
  • Effectively communicates results of statistical models to a broad audience, including senior leadership
  • Uses quantitative and qualitative data sources to successfully generate results
  • Conducts exploratory data analysis (EDA) to understand data patterns, trends, and potential outliers
  • Identifies and gathers relevant data from various sources, including databases, APIs, and external datasets
  • Cleans and preprocesses data to ensure its quality, consistency, and usability
  • Develops and implements advanced machine learning and statistical models to solve complex business problems
  • Selects appropriate algorithms and techniques for specific tasks such as regression, classification, clustering, and time series forecasting
  • Fine-tunes models to optimize performance and generalization
  • Creates informative data visualizations, dashboards, and reports to communicate findings and insights to stakeholders
  • Translates complex technical results into easily understandable formats for non-technical audiences
  • Implements rigorous validation processes, including cross-validation and hypothesis testing, to assess model performance and reliability
  • Interprets model outputs and assesses their business impact
  • Leads and manages data science projects from inception to deployment, ensuring alignment with organizational goals and timelines
  • Collaborates with cross-functional teams to define project objectives, gather requirements, and prioritize initiatives
  • Stays updated on the latest developments in data science, machine learning, and related technologies
  • Identifies and recommends opportunities for process improvement and innovation
  • Documents methodologies, codes, and model specifications for reproducibility and knowledge sharing
Other Functions
  • Assists in Commission data-monitoring activities
  • Develops new and ad-hoc reports on data analysis activities across the Commission
  • Assists with the development of presentations
Work Environment And Physical Demands
Business casual office environment
Required Knowledge, Skills, And Abilities
  • Skill in programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources
  • Performing data wrangling and matching leveraging Extract Load Transfer (ETL) techniques
  • Performing feature engineering and selection (transformation, binning, and high-level categorical reduction); model optimization (grid search and Bayesian optimization), and model testing and validation (cross-validation and bootstrapping)
  • Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means and performing regularization leveraging Ridge, Lasso, and elastic net
  • Sound technical background with experience in the following technologies, or equivalent: databases (SQL Server), cloud (Azure), business intelligence/reporting (PowerBI)
  • Expertise in machine learning and AI techniques
  • Experience implementing predictive algorithms and associated statistical analysis/inference in data science/ML workflow manipulating both structured and unstructured data
  • Experience in using AI tools in Microsoft Azure or AWS environment
  • Advanced knowledge of relational database structure
  • Excellent organizational and communication skills
  • Ability to identify emerging patterns that can be found through the analysis of big data, unstructured data, and data from multiple internal and external sources
  • Ability to manage projects with strong technical and data-driven components
  • Ability to communicate complex concepts to a non-technical audience
Minimum Education, Experience Requirements
  • Bachelor's degree 
  • 5+ years experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.) that includes accessing and analyzing large volumes of data using SQL, SAS, SPSS, etc., including experience in the following areas:
    • Developing an enterprise analytical platform and framework
    • Implementing data science tools such as Python, R, Spark, SQL
    • Data manipulation using libraries such as Pandas and NumPy
    • Experience with machine learning frameworks and libraries (e.g., TensorFlow and Scikit-Learn)
    • Statistical analysis, time series analysis, and predictive modeling

OR
  • High school diploma or equivalent
  • 9+ years experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.) that includes accessing and analyzing large volumes of data using SQL, SAS, SPSS, etc., including experience in the following areas:
    • Developing an enterprise analytical platform and framework.
    • Implementing data science tools such as Python, R, Spark, SQL.
    • Data manipulation using libraries such as Pandas and NumPy.
    • Experience with machine learning frameworks and libraries (e.g., TensorFlow and Scikit-Learn).
    • Statistical analysis, time series analysis, and predictive modeling
Additional Requirements
Must be available, if required, on a 24-hour on-call basis and work at odd and irregular hours
Preferences
  • Master's degree
  • Experience training an LLM or deep neural network
  • Experience working with water/wastewater utility operational systems
Salary $108,233 - $184,288
Posting Detail Information
EEO Statement Close Date 06/23/2026 Open Until Filled No Special Instructions to Applicants Additional Information
All applicants selected will be subject to drug screening and a background check/verification.

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