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Data Analyst Computer Science Jobs in Gaithersburg, MD

Dlapiper

Sr Data Analyst

Reston, VA · Hybrid

$89K - $112K/yr

Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum Years of Experience * 4 years' experience in a experience as a Data Analyst or ...

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Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Amivero

Data Analyst

Washington, DC

$125K - $145K/yr

Bachelor's Degree in Data Analytics, Statistics, Computer Science, Information Systems, or related field. * 3 or more yearsof demonstratedexperience in data analysis, business intelligence, and/or ...

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$36.7K

$89.3K

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

As of Aug 8, 2026, the average yearly pay for data analyst computer science in Gaithersburg, MD is $89,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $104,800.00 per year, depending on experience, location, and employer.

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

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.
What cities near Gaithersburg, MD are hiring for Data Analyst Computer Science jobs? Cities near Gaithersburg, MD with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you

Cryptologic Computer Scientist with Security Clearance

GRVTY

Fort George G Meade, MD • On-site

Other

Re-posted 8 days ago

Job description

What Impact You'll Have * GRVTY is seeking experienced Cryptologic Computer Scientist to design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. You will create solutions derived from forensics and attack attribution, facilitate protection of critical networks and active systems, and conduct knowledge discovery of passive and active systems, or other cryptologic computer science mission support. What You'll be Owning * The right candidate will apply requisite computer science skills (operating systems, compiler theory, databased theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) to each problem to provide state-of -the-art techniques, tools, and approaches. This particular position will be a hybrid computer scientist/cyber threat analyst, specifically using Python, Spark/PySpark, and you will need to have a strong network and protocol analysis background and familiarity with customer tools. What You Must Have * Master's degree with 6 years of relevant experience. * Bachelor's Degree with 8 years of relevant experience. * Associates degree with 10 years of relevant experience. * Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above). * Relevant experience must be in a computer science area (i.e. theoretical or applied), simulation/model development, designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g. algorithm or development) computation science, algorithm analysis and design, reverse engineering, and/or designing/developing computer and information systems, including engineering hardware and/or software. * Strong Python, Spark/PySpark skills. * Strong Network and Protocol Analysis background. * Familiarity with customer tools. * TS SCI w/ poly What Would be Nice to Have * Design, develop, deliver, and operate solutions to hard cryptologic computer science problems within a scientific framework. * The solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support. * Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures are applied to each problem to provide state of the art techniques, tools, and approaches).

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