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Data Analyst Computer Science Jobs in Towson, MD

Sage Ventures

Data Visualization Analyst

Pikesville, MD · On-site

Required : • Bachelor's degree in Data Science, Computer Science, Information Technology, or a ... Preferred : • Strong knowledge of data analytics, reporting, and visualization within real estate ...

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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 19, 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

Computer/Data Scientist(Entry Level) (Job #712) with Security Clearance

Defense Acquisition Support Services LLC

Aberdeen Proving Ground, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Summary Defense Acquisition Support Services (DAS) is seeking an entry-level Computer/Data Scientist to support our customer at Aberdeen Proving Ground, MD. This position is ideal for a recent graduate or early-career professional with a degree in Data Analytics, Data Science, Computer Science, or a related field who has a passion for transforming data into meaningful visualizations and actionable insights. Working alongside experienced government and contractor personnel, you will develop dashboards, communicate data-driven insights, and support decision-making for Department of Defense programs using Microsoft and Palantir technologies. Responsibilities * Develop interactive dashboards and reports using Microsoft and/or Palantir platforms. * Analyze data and present findings through compelling visualizations and data storytelling techniques. * Transform complex datasets into clear, actionable insights for government and military leadership. * Support data collection, validation, and preparation for analysis. * Collaborate with stakeholders to understand reporting requirements and business needs. * Assist in maintaining data quality, consistency, and accuracy across reporting solutions. * Support ad hoc reporting and analytical requests. * Document analytical processes and provide user support as needed. * Learn and apply to the Department of Defense data management and governance practices. Required Qualifications * Active Secret Clearance (required). * Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field. * Entry-level experience (0-2 years) in data analytics, business intelligence, or data visualization. * Experience creating dashboards and reports using Microsoft or Palantir platforms (academic, internship, or professional experience accepted). * Understanding of data visualization principles and the ability to communicate insights through effective storytelling. * Strong analytical, critical thinking, and problem-solving skills. * Excellent written and verbal communication skills. * Proficiency with Microsoft Office applications, particularly Excel. Preferred Qualifications * Familiarity with Army Logistics operations. * Familiarity with Army Vantage. * Experience with Microsoft Power BI. * Experience using SQL or Python for basic data analysis. * Internship or project experience supporting government or defense organizations. About DAS: Defense Acquisition Support Services is a Women Owned Small Business focused on hiring the very best people in Defense Contracting. As a Systems Engineering and Technical Assistance (SETA) focused organization, we partner with the government to help them achieve Mission Success. Established in 2007, we have remained "People Focused" and understand the secret to organizational success is the team. Our "People Focused" approach enables us to hire, retain, and help our teammates succeed and assist them by providing the very best possible support available to our government customers. The DAS Culture: We are "People Focused." Each team member gets an employee concierge who is charged with helping ensure personal and professional success for our people. We care and try to help people find the right fit so they can find happiness, development, and a rewarding career. We succeed by helping you succeed. DAS Benefits: We provide real benefits for our team that includes: * Free Health Care from Aetna * Dental Coverage * Vision Coverage * Paid Time Off * 401K * Employer Paid Group Life * Flexible Spending Accounts * Professional Development Training

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