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Data Analyst Computer Science Jobs in New York (NOW HIRING)

VHB

Senior Transportation Data Analyst

New York, NY

$98K - $148K/yr

Master's degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline * Applicants must be legally authorized to work for VHB in the U.S. without ...

ApTask Global Workforce

Data Analyst

Manhattan, NY · On-site

$41/hr

Bachelor's Degree in Computer Science, Information Systems, or other related field, or equivalent work experience * Human Resources Experience * 3-5 years experience in Data Analytics, Business ...

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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
Infographic showing various Data Analyst Computer Science job openings in New York as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst

Wilson Elser - Business & Legal Professionals

White Plains, NY • Hybrid

Other

Re-posted 19 days ago

Job description

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation.  If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Data Analyst position in our White Plains, NY Office.

This position offers a flexible, hybrid working arrangement.

The Position

This hands-on Data Analyst position will reside within the Firm's Business Solutions & Innovations department, where 20+ years of legacy technology and business processes are undergoing a complex and strategic overhaul, focused on efficiency, sustainability and providing a competitive industry advantage.

Key Responsibilities:

  • Create and maintain reporting processes to support firm stakeholders
  • Develop an understanding and knowledge of databases supporting firm operation
  • Utilize Power BI Analysis Services for data visualization and reporting
  • Leverage Aderant Database & Software for financial systems reporting
  • Perform initial analysis and refinement of data
  • Effectively communicate with internal/external resources
  • Respond to ad hoc data requests
  • Effectively analyze, reverse engineer, and document legacy scripting routines

Qualifications

  • 1-3 years of Experience in Financial Systems Administration
  • 1-3 years of recent Experience with Aderant Financial System
  • Demonstrated Ability to Managing Data & Performing Data Analysis
  • Working Knowledge Power BI Analysis Services
  • MS SQL/SSRS/SQL Query skills required
  • Exceptional MS Excel understanding, ability to debug, and develop a must
  • VBA/Macro understanding and ability to debug are preferred skills 
  • Familiar with using JIRA software or comparable software for project and task management
  • Excellent analytical and problem-solving skills
  • Multi-tasker with ability to successfully manage numerous projects and tasks concurrently
  • Strong oral communication skills
  • Ability to draft succinct, informative, and accurate reports and recommendations
  • Organizational skills to manage toward deadlines and deliverables
  • Experience leading the transition, integration, and implementation of legal e-billing platforms a plus
  • Knowledge of Sequel Viewpoint Systems a plus
  • Prior industry experience with mid to large sized Law Firm(s) a plus
  • Bachelor's degree (preferably in a Computer Science or related field), or substantial industry experience/expertise 

Apply