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Data Analyst Computer Science Jobs in Connecticut

The Hartford

Business Data Analyst

Hartford, CT · Hybrid

$80K - $120K/yr

Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business * Prior data analysis experience with Big Data technologies and willing/adapting ...

HomeServe USA

Senior Data Analyst

Norwalk, CT · On-site

$125K - $167K/yr

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Economics, or related field (or equivalent experience) * 5+ years in data analytics, business intelligence, or a similar ...

HomeServe

Senior Data Analyst

Norwalk, CT · On-site

$125K - $167K/yr

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Economics, or related field (or equivalent experience) * 5+ years in data analytics, business intelligence, or a similar ...

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Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

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.
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Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Connecticut as of June 2026, with employment types broken down into 1% Internship, 45% Full Time, 46% Part Time, 1% Temporary, 5% Contract, and 2% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Data Analyst

Wilson Elser - Business & Legal Professionals

Stamford, CT • Hybrid

Other

Posted 24 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 Stamford, CT 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