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Data Analyst Computer Science Jobs in Hartford, CT

Varsity Tutors

AP Computer Science A Tutor

Hartford, CT · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

STI

Data Scientist

Hartford, CT · On-site

... in computer science, business, IT, management, administration, economics, or information science • 2 years of user research and feedback analysis • 2 years of data governance and working within ...

Bridge Energy

Energy Data Analyst (CT)

Hartford, CT · On-site

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience ... Bachelors degree, preferably in: energy, business, finance, accounting, sciences, engineering, math ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT · On-site

The candidate should have 7+ years of industry experience in data science and analytics. Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Hartford, CT

Data Analyst Computer Science information

See Hartford, CT salary details

$34.3K

$83.4K

$137.2K

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

As of Jul 25, 2026, the average yearly pay for data analyst computer science in Hartford, CT is $83,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 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.
What cities near Hartford, CT are hiring for Data Analyst Computer Science jobs? Cities near Hartford, CT with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you

Data Analyst (MLOps & Advanced Analytics)

FAVARH

Hartford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

Position Summary

We are seeking aData Analystto join our advanced analytics and MLOps organization. This role will partner closely with product owners and technical teams to transform business objectives into actionable data insights. The successful candidate will perform exploratory data analysis, identify meaningful patterns and opportunities within complex datasets, and help drive data-informed decision-making.

This position offers a strong growth path into predictive modeling and data science work while maintaining a core focus on analytics, insight generation, and business problem-solving. The role was discussed as supporting an MLOps team and collaborating with product owners responsible for business use cases and objectives.

Key Responsibilities

  • Perform exploratory data analysis to evaluate business opportunities and uncover actionable insights.
  • Partner with product owners to understand business objectives, use cases, and data requirements.
  • Analyze structured and unstructured data to identify trends, patterns, risks, and opportunities.
  • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Assess data quality, availability, and feasibility for business and analytical initiatives.
  • Support the development of predictive models and machine learning solutions through data preparation, analysis, and experimentation.
  • Collaborate with data engineering, MLOps, and analytics teams to support model deployment and operationalization initiatives.
  • Document methodologies, assumptions, and analytical findings to support ongoing business value creation.

Required Qualifications

  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience performing exploratory data analysis and deriving actionable business insights.
  • Strong analytical thinking and problem-solving skills.
  • Experience with Python for data analysis and manipulation.
  • Experience writing and optimizing SQL queries.
  • Ability to communicate technical concepts to business stakeholders.
  • Experience working with large datasets and modern analytics platforms.

Preferred Qualifications

  • Databricks experience strongly preferred.
  • Experience with Spark or PySpark.
  • Exposure to machine learning, predictive modeling, or data science methodologies.
  • Experience supporting cloud-based analytics environments.
  • Familiarity with MLOps concepts and model lifecycle processes.

Success Profile

The ideal candidate is naturally curious, highly analytical, and capable of translating raw data into meaningful business intelligence. They enjoy investigating complex problems, evaluating data-driven opportunities, and collaborating across technical and business teams.

The strongest candidates will demonstrate:

  • Exceptional exploratory analysis capabilities.
  • A proven ability to generate meaningful insights from data.
  • Strong modern coding skills, particularly in Python and analytics-focused technologies.
  • A desire to expand into predictive modeling and advanced analytics over time.

#LI-LW1

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$109,000 - $136,250 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes

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