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Data Analyst Computer Science Jobs in Towson, MD

Beyond SOF

Data Analyst

Columbia, MD · On-site

Analyze and define data requirements and specifications. * Collection of metrics and data trends ... Document the implementation of a solution's mathematical, data science and computer science ...

Infojini Inc

Data Analyst

Linthicum Heights, MD

Bachelor's degree Computer Science, Information Systems, Physics, Mathematics, Statistics, Engineering, or equivalent. A minimum of four (4) years of relevant professional experience in data analysis ...

C-HIT

Data Analyst 4

Columbia, MD · On-site

Bachelor's degree in Computer Science, Data Science, Information Systems, or related field. * 5+ years of experience in data architecture and/or data analysis. * Strong experience with data modeling ...

QED Systems LLC

Data Analyst

Aberdeen Proving Ground, MD · On-site

$80K - $125K/yr

Perform professional and scientific work requiring the design, development and adaptation of ... Withstand prolonged periods of sitting at a desk and computer use. * Climb stairs, ramps, ladders ...

SW Complete

Cryptologic Computer Scientist

Columbia, MD · On-site

Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structure) are ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Towson, MD

Data Analyst Computer Science information

See Towson, MD salary details

$32.6K

$79.2K

$130.3K

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

As of Jul 17, 2026, the average yearly pay for data analyst computer science in Towson, MD is $79,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 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

Cryptologic Computer Scientist

GRVTY

Fort George G Meade, MD • On-site

Other

Re-posted 16 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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