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Data Analyst Jobs in Connecticut (NOW HIRING)

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

Healthcare Data Analyst (MedInsight)

Windsor, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Healthcare Data Analyst to help transform complex healthcare data into meaningful insights that improve quality, reduce costs, and support better healthcare decision-making. Working ...

Completion of Currency Transaction Reports for review and accuracy, before submission to the BSA Operations Officer and/or the Sr. BSA Data Analyst for final review and filing. * Completion of daily ...

Completion of Currency Transaction Reports for review and accuracy, before submission to the BSA Operations Officer and/or the Sr. BSA Data Analyst for final review and filing. * Completion of daily ...

Showing results 21-40

Data Analyst information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in Connecticut? The most popular types of Data Analyst jobs in Connecticut are:
What cities in Connecticut are hiring for Data Analyst jobs? Cities in Connecticut with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Connecticut as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, and 8% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal and external stakeholders with the end goal to help clients reduce energy spend, consumption, emissions and risk.

  • Create positive change for people and clients 
  • Make a difference at a small company

  • Become exposed to every aspect of the energy business

  • Work independently and as a team

Responsibilities :

  • Analyze energy market and customer trends to identify savings and risk opportunities.

  • Model and report performance on various on-site generation technologies such as fuel cells, solar, linear generators, etc.

  • Formulate client presentations and regular account updates and provide necessary analysis for client deliverables to include commodity bid analysis and recommendations, client budgets, and variance analysis and other custom reports.

  • Proactively support, manage, and steward consulting and procurement client accounts. Respond to calls, email inquiries, and questions related to the energy market, strategy, and risk.

  • Conduct market analysis of the: external environment, competitive trends, regulatory changes and product/service innovations. Relay opportunity to Customer in terms that can be understood by Client.

  • Stay abreast of competition and changes and fluctuations in energy markets by reading publications, energy new sites, and attending meeting.

  • Resolves client issues by developing and presenting solutions and recommendations

  • Deliver quality client service by following through on deliverables and communicating with clients on those deliverables.

  • Bachelors degree, preferably in: energy, business, finance, accounting, sciences, engineering, math, statistics or other related degrees

  • A passion for learning and interest in the energy sector

  • Ability to manage time effectively, work independently, and be self-motivated

  • Ability to communicate via phone, email, and in-person

  • Strong Microsoft Office skills, specifically Excel and PowerPoint

  • Hard working with willingness to learn and take direction

  • Attention to detail