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Data Analyst Computer Science Jobs in Parsippany, NJ

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Bachelor's degree in Business, Economics, Accounting/ Finance, Computer Science, Math, Physics ...

Data Analyst

New York, NY · On-site

$40/hr

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Bachelor's degree in Business, Economics, Accounting/ Finance, Computer Science, Math, Physics ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

Data Analyst

New York, NY · On-site

$95K - $125K/yr

Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field.

Data Analyst

New York, NY · On-site

$90K - $125K/yr

Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field.

Data Analyst

New York, NY · On-site

$90K - $125K/yr

Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field.

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Data Analyst Computer Science information

See Parsippany, NJ salary details

$34.2K

$83.1K

$136.8K

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

As of Jul 21, 2026, the average yearly pay for data analyst computer science in Parsippany, NJ is $83,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,500.00 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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