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Data Analyst Jobs in Frederick, MD (NOW HIRING)

Jobtailor

Data Analyst

Frederick, MD · On-site

$90 - $130/hr

Design, develop, and maintain enterprise data analytics solutions, business intelligence dashboards, and Microsoft Power Platform applications that drive decision‑making across manufacturing ...

TIAG

Data Analyst

Frederick, MD · Hybrid

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and ...

TIAG

Data Analyst

Frederick, MD · On-site

$90 - $130/hr

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program. This role will join our team supporting the execution of advanced extraction, querying, and ...

Saliense

Data Analyst

Frederick, MD · On-site

$70 - $90/hr

About the role This role serves as a critical data analyst supporting logistical and financial operations. The primary responsibility is to leverage advanced knowledge of DMLSS and expert-level ...

Barrow Wise Consulting

Data Analyst

MD · On-site

$70K - $110K/yr

The Data Analyst will support Barrow Wise's DHS project and perform the following duties: * Examine dashboard reporting, data governance, and use of analytics for decision-making * Assess the quality ...

Workila

Data Analyst 1

Urbana, MD · On-site

Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data analysis and testing. * Ability to collect, translate, and document complete and effective requirements ...

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

Job Title Operations Data Analyst Location Ft. Detrick, MD Description Supports Army operations by developing dashboards, reports, and performance metrics while analyzing data to identify trends ...

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

Description Job Title Operations Data Analyst Location Ft. Detrick, MD Description Supports Army operations by developing dashboards, reports, and performance metrics while analyzing data to identify ...

Sterile Services Co

Data Analyst Level II

Frederick, MD · On-site

$86K - $94K/yr

The Data Analyst Level II will collect, analyze, validate, and report operational data to support informed decision-making across Army Prepositioned Stocks (APS), Unit Deployment Packages (UDP ...

SSC

Data Analyst Level II

Frederick, MD · On-site

The Data Analyst Level II will collect, analyze, validate, and report operational data to support informed decision-making across Army Prepositioned Stocks (APS), Unit Deployment Packages (UDP ...

Inventwood

R & D Data Analyst

Frederick, MD · On-site

General Summary / Position Purpose The R&D Data Analyst turns the data behind SUPERWOOD -- a molecularly densified wood material -- into the insights that drive our research forward. It's an ...

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Showing results 1-20

All JobsData Analyst JobsData Analyst Jobs in Frederick, MD

Data Analyst information

See Frederick, MD salary details

$33.8K

$82.2K

$135.2K

How much do data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data analyst in Frederick, MD is $82,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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

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For Data Analyst jobs in Frederick, MD, the most frequently searched job titles are:

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The top searched job categories for Data Analyst jobs in Frederick, MD are:

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Cities near Frederick, MD with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Frederick, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $82,167 per year, or $39.5 per hour.

Data Analyst

Jobtailor

Frederick, MD • On-site

$90 - $130/hr

Other

Posted 10 days ago

Job description

Responsibilities
  • Design, develop, and maintain enterprise data analytics solutions, business intelligence dashboards, and Microsoft Power Platform applications that drive decision‑making across manufacturing operations, engineering, finance, and executive leadership.
  • Partner with cross‑functional stakeholders to transform complex data into trusted, scalable, and user‑friendly products by performing the following duties.
  • Build, deploy, and maintain custom business applications using Microsoft Power Apps (canvas and/or model‑driven) and automate workflows using Power Automate to streamline manufacturing and back‑office processes.
  • Develop and maintain semantic data models, dimensional structures, and reusable reporting layers that serve as the trusted source of truth across the organization.
  • Partner with Engineering, Operations, Finance, and Product stakeholders to gather requirements, define KPIs, and deliver multi‑workstream analytics solutions end to end.
  • Write, optimize, and maintain complex SQL queries, stored procedures, and data extracts against enterprise data warehouses and cloud platforms (e.g., Snowflake, Azure SQL, Redshift, MySQL).
Qualifications
  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, or a related field; Master’s degree preferred.
  • 3-5 years of progressive experience in data analytics, business intelligence, analytics engineering, or a closely related field.
  • Advanced proficiency in SQL (complex queries, joins, performance tuning, stored procedures) and demonstrated experience with Power BI (DAX, Power Query, semantic modeling, dashboard architecture).
  • Hands‑on experience with Python for data analysis, scripting, or automation; experience designing and maintaining dimensional data models and semantic layers.
  • Experience building applications with Microsoft Power Apps and automating workflows with Power Automate is strongly preferred; familiarity with Dataverse, SharePoint, or Microsoft 365 data sources is a plus.
  • Manufacturing, supply chain, or operations industry experience is a plus.
  • Microsoft certifications such as PL‑300 (Power BI Data Analyst), PL‑400 (Power Platform Developer), or DP‑900/DP‑203 are preferred but not required.
  • Ability to read, write, and communicate fluently in English; strong written and verbal communication skills for translating technical concepts for non‑technical stakeholders.
  • Strong quantitative and analytical skills; ability to apply concepts of basic statistics, percentages, ratios, and proportions to practical business situations and to validate data accuracy across reporting solutions.
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