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Data Analyst Computer Science Jobs in Maryland (NOW HIRING)

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 ...

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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Data Analyst Computer Science information

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

Data Analyst

Beyond SOF

Columbia, MD • On-site

Full-time

Posted yesterday

Job description

Essential Job Functions
  • Analyze and define data requirements and specifications.
  • Collection of metrics and data trends.
  • Ability to read, interpret, write and modify scripts on Windows and UNIX platforms.
  • Ability to clearly communicate findings in written and verbal fashion.
  • Develop data standards and policies. Conduct hypothesis testing using statistical processes.
  • Document the implementation of a solution's mathematical, data science and computer science methodology.

Minimum Required Qualifications
  • Due to the nature of this position and the information that employees will be required to access; U.S. Citizenship is required.
  • Active Top Secret Security Clearance with Full Scope polygraph is required.
  • Six years of demonstrated experience as a data analyst is required.
  • 3 years of work experience in cybersecurity.

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