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Data Analyst Data Science Jobs in Hagerstown, MD

Jobtailor

Data Analyst

Frederick, MD · On-site

$90 - $130/hr

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 ...

New

Inventwood

R & D Data Analyst

Frederick, MD · On-site

It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you ... A BS in a quantitative or scientific field -- statistics, data science, engineering, physics ...

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 ...

Saliense

Data Analyst

Frederick, MD · On-site

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 Microsoft Excel and ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

... data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) * What life science disciplines ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

... data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) * What life science disciplines ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

... data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.) * What life science disciplines ...

Capital I, LLC

Operations Data Analyst

Frederick, MD

$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 ...

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

... science solutions using Python. * Proven experience building and maintaining large-scale data pipelines, API frameworks, or cloud-based analytical environments. * Comprehensive operational ...

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 ...

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 ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Hagerstown, MD

Data Analyst Data Science information

See Hagerstown, MD salary details

$33.7K

$81.9K

$134.8K

How much do data analyst data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analyst data science in Hagerstown, MD is $81,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Hagerstown, MD look for?

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

What cities near Hagerstown, MD are hiring for Data Analyst Data Science jobs?

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

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Hagerstown, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,930 per year, or $39.4 per hour.

Data Analyst

Jobtailor

Frederick, MD • On-site

$90 - $130/hr

Other

Posted 3 days ago

New

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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