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Data Analyst Jobs in Canton, CT (NOW HIRING)

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

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

Position Summary The Senior Data Analyst serves as an individual contributor responsible for healthcare performance analytics supporting the Dual Eligible Special Needs (D-SNPs), including Fully and ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Director, Behavioral Scientist

Hartford, CT ยท On-site

$150 - $200/hr

Collect and analyze quantitative data, conduct semi-structured interviews, facilitate group design thinking sessions, and conduct test and learns with follow up measurements. Apply behavioral science ...

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Data Analyst information

See Canton, CT salary details

$35.2K

$85.7K

$141K

How much do data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst in Canton, CT is $85,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $100,600.00 per year, depending on experience, location, and employer.

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 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 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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

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 most commonly searched types of Data Analyst jobs in Canton, CT?

The most popular types of Data Analyst jobs in Canton, CT are:

What job categories do people searching Data Analyst jobs in Canton, CT look for?

The top searched job categories for Data Analyst jobs in Canton, CT are:

What cities near Canton, CT are hiring for Data Analyst jobs?

Cities near Canton, CT with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Canton, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,667 per year, or $41.2 per hour.

Data Catalog and Business Metadata Advisor

Texas State Library and Archives Commision

Bloomfield, CT โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Job Title: Data Catalog and Business Metadata Advisor
Job Type: Contract
Location: Bloomfield, Connecticut
Job Description:
  • 4+ years of experience cataloging data (metadata) from discovery to organization and enrichment across the entire data ecosystem. Ideally within large and complex data environments, typically found in fortune 1000 organizations.
  • 4+ years working with Business stakeholders to understand and represent business needs in requirements and onboarding to data governance platforms
  • 4+ years of experience with Data Governance products and platforms (Ideally Collibra products) guiding Metadata functionality and development of both structured and unstructured data

  • Experience (4+ years working experience) with data governance, technical or business metadata.
  • Strong ability to work and assist the user community with onboarding to data governance platforms.
  • Understanding of a variety of data source platforms, structured and semi-structured data.
  • Ability to understand and represent business needs in requirements, track and resolve progress and issues, provide timely updates and escalations.
  • Experience with Collibra data governance products, Healthcare Industry data and/or data governance regulations and controls is a plus.

Competencies and Skills:
  • Ability to lead functional development and tool on boarding meetings documenting decisions and issues
  • Ability to translate business data governance requirements into technical requirements to meet multiple business needs
  • Strong analytical, creative problem solving, and process management skills.
  • Ability to work with various data owners and provide data governance concepts.
  • Ability to plan and prioritize own work effectively to achieve set end results.
  • Excellent attention to detail
  • Excellent oral, written & presentation communication skills.
  • Ability to accept ambiguity, open to new ideas; willing to test and fail; and attempt new processes.
  • Ability to influence peers and subordinates to modify behaviors and provide support for the Implementation and adoption of data governance and metadata strategy and practices.
  • Ability to work independently and as a part of a team with a positive attitude for team goals.
  • Ability to deal with multiple time zones.
  • Proactive flexible attitude with a desire to learn new skills in the growing field of data governance.
  • Experience with Collibra Data Intelligence Center desired.
  • Agile Experience a plus

Tooling: Excel, SQL knowledge, Experience with Data Governance Tools (Collibra) or similar desired
Education: Bachelor degree in Computer Science or related discipline