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Data Analyst Computer Science Jobs in Hempstead, NY

Forhyre

Data Scientist

New York, NY

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 ...

Forhyre

Data Scientist

New York, NY

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 ...

recruiterboom

Data Scientist

New York, NY

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 ...

Healthix

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.

Healthix

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.

Healthix, Inc.

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.

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$35.4K

$85.9K

$141.4K

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

As of Jul 16, 2026, the average yearly pay for data analyst computer science in Hempstead, NY is $85,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 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
Techno-Functional Data Analyst

Techno-Functional Data Analyst

Genesis10

Jersey City, NJ • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Genesis10 is currently seeking a Techno-Functional Data Analyst for a position with a Global Financial Institution. This role is part of a major technology transformation initiative to build new data, rules, and analytics capabilities for a critical capital management function, involving the design and replacement of multiple legacy applications.
Responsibilities:
• Serve as a techno-functional data analyst on a delivery-focused team
• Analyze and design solutions for a greenfield project replacing legacy treasury applications
• Develop and implement capabilities for data ingestion, rules authoring and execution, and analytics
• Apply a deep understanding of Capital Markets, Credit Risk, and Market Risk to solve complex problems
• Identify risks and issues and suggest process improvements
Qualifications:
Required:
• BS/MS in Computer Science, Engineering, or any quantitative discipline
• 10+ years of experience with at least 3+ years of experience as a data analyst
• Good knowledge of SQL programming, preferably with databases such as Oracle Exadata
• Programming experience with Python or Java/.Net
• Deep understanding of Capital Markets with a focus on Credit Risk, Market Risk, or Capital calculations
• Understanding of regulations within the Capital Markets space (e.g., Basel, CRR, CRD IV)
• Excellent analytical and problem-solving skills
• Attention to detail and self-starter, with an ability to identify risks and issues and suggest improvements
Preferred:
• MBA is an advantage
• Programming experience with Hadoop
• Knowledge of Big Data Architectures and Cloud computing
• Knowledge of machine-learning techniques, classifiers, and statistical methods
• Exceptional intelligence and problem-solving skills
• Excellent communication skills
Company:
Information Technology and Services Founded in 1999, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1999

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