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Data Analyst Computer Science Jobs in Frederick, MD

Longeviti, LLC

Data Analyst Level II

Frederick, MD · On-site

Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar credentials. • Active Secret Security Clearance • Bachelor's degree in Data Analytics, Computer Science, Information ...

Longeviti LLC

Data Analyst Level II

Frederick, MD

$109K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field (or equivalent combination of education and experience)

Longeviti

Data Analyst Level II

Frederick, MD · On-site

$109K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field (or equivalent combination of education and experience)

Longeviti LLC

Data Analyst Level II

Frederick, MD · On-site

$109K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field (or equivalent combination of education and experience)

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

As of Jul 12, 2026, the average yearly pay for data analyst computer science 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.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
Data Analyst Level II

Data Analyst Level II

Longeviti, LLC

Frederick, MD • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
Longeviti, LLC is a government contractor specializing in providing professional support services in the fields of information technology, program management, agency administration, and intelligence analysis. They are seeking a Data Analyst Level II to provide advanced data analysis and reporting support, collaborating with stakeholders to enhance data collection and reporting processes.
Responsibilities:
• Gather and analyze customer requirements to identify data analysis needs and reporting objectives.
• Evaluate technical and business requirements to determine data-related challenges and recommend effective solutions.
• Lead or support the design, development, and maintenance of reports, dashboards, scorecards, and data visualizations.
• Identify and evaluate new data sources to improve data collection, integration, reporting, and business intelligence capabilities.
• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
• Develop data queries, reports, and performance metrics to support operational and strategic decision-making.
• Validate data integrity by identifying inconsistencies, performing quality assurance checks, and recommending corrective actions.
• Troubleshoot information systems and reporting issues to ensure the accuracy, reliability, and availability of data.
• Collaborate with business units, system administrators, and technical teams to improve data management processes and reporting efficiency.
• Prepare recurring and ad hoc reports for management, customers, and project teams.
• Assist in developing standard operating procedures (SOPs), user guides, technical documentation, and training materials related to data systems and reporting processes.
• Support system enhancements, data migration efforts, testing activities, and implementation of new reporting tools.
• Ensure compliance with organizational data governance policies, privacy requirements, and security standards.
• Perform other related duties as assigned.
Qualifications:
Required:
• Minimum of 3–5 years of experience in data analysis, business intelligence, reporting, or information systems.
• Experience developing reports, dashboards, and analytical products using business intelligence and reporting tools.
• Proficiency with Microsoft Excel, including advanced formulas, PivotTables, charts, and data analysis functions.
• Experience using SQL to query, manipulate, and analyze relational databases.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent written, verbal, and presentation communication skills.
• Experience supporting federal government, Department of Defense (DoD), healthcare, or other regulated organizations.
• Experience with enterprise reporting systems, data warehouses, and cloud-based analytics platforms.
• Knowledge of programming or scripting languages such as Python or R for data analysis and automation.
• Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.
• Experience with Agile project methodologies and requirements gathering.
• Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar credentials.
• Active Secret Security Clearance
• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field (or equivalent combination of education and experience).
Company:
Longeviti, LLC is a vibrant, disadvantaged minority-owned small business headquartered in the Washington, D.C. Founded in 2016, the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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