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Live In Sports Data Analyst Jobs in Frederick, MD

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 ...

TIAG is now hiring a Data Analyst to support the Defense Medical Logistics Standard Support Program ... This role reports onsite at Fort Detrick in Frederick, MD up to 3 days per week. US or Naturalized ...

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 reports onsite at Joint Base San Antonio (JBSA) in San Antonio, TX up to 3 days per week.

Data Analyst

Frederick, MD · On-site

$70 - $90/hr

Professional Development Reimbursement Program We believe in empowering our team members to achieve ... About the role This role serves as a critical data analyst supporting logistical and financial ...

Professional Development Reimbursement Program We believe in empowering our team members to achieve ... This role serves as a critical data analyst supporting logistical and financial operations. The ...

Data Analyst

MD · On-site

$70K - $110K/yr

Bachelor's degree in a related field * 5+ years of experience supporting federal agencies or defense organizations within: * Data analytics, dashboarding, reporting, and data governance * Utilize ...

Must be proactive in identifying efficiencies and process improvements. * Works with business and ... Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data ...

Assists in defining and monitoring performance metrics to assess operational effectiveness ... data analysis, including collecting, organizing, analyzing, and interpreting business or mission ...

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

Assists in defining and monitoring performance metrics to assess operational effectiveness ... data analysis, including collecting, organizing, analyzing, and interpreting business or mission ...

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 ... This role plays an important part in transforming complex logistics and readiness data into ...

New

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 ... This role plays an important part in transforming complex logistics and readiness data into ...

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Live In Sports Data Analyst information

See Frederick, MD salary details

$33.8K

$82.2K

$135.2K

How much do live in sports data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for live in sports 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 job categories do people searching Live In Sports Data Analyst jobs in Frederick, MD look for?

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

What cities near Frederick, MD are hiring for Live In Sports Data Analyst jobs?

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

Infographic showing various Live In Sports Data Analyst job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person 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 6 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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