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Associate Data Analyst Jobs in Connecticut (NOW HIRING)

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Join Spectrum as an Associate Data Scientist and help uncover insights that solve real business ... Strong analytical and problem-solving abilities with attention to detail and data accuracy

Pwc

Data Strategy-Manager

Stamford, CT · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Stamford, CT · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

Data Governance- Manager

Hartford, CT · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Mohegan Sun

Data Warehouse Analyst

Uncasville, CT · On-site

... Associate degree in Computer Science, Engineering, Business or a related field • Two years of ... Data modelling (Star Schema) • Demonstrated analytical skills and critical thinking skills • ...

Pwc

Data Engineer - Senior Associate

Stamford, CT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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All JobsAssociate Data Analyst JobsAssociate Data Analyst Jobs in Connecticut

Associate Data Analyst information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do associate data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for associate 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.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

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 are popular job titles related to Associate Data Analyst jobs in Connecticut?

For Associate Data Analyst jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst jobs in Connecticut look for?

The top searched job categories for Associate Data Analyst jobs in Connecticut are:

What cities in Connecticut are hiring for Associate Data Analyst jobs?

Cities in Connecticut with the most Associate Data Analyst job openings:

Associate Data Analyst jobs near you
Infographic showing various Associate Data Analyst job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Associate Data Scientist

Customer Operations

Stamford, CT • Hybrid

$62K - $63K/yr

Full-time

Posted 4 days ago

Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Curious about how data shapes business decisions and drives innovation? Join Spectrum as an Associate Data Scientist and help uncover insights that solve real business challenges. Collaborate with experienced data scientists, sharpen your technical skills and learn to communicate complex ideas effectively. Your work will directly support Spectrum’s mission to deliver impactful, data-driven solutions.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Assist in cleaning, aggregating and analyzing large data sets to generate actionable insights
  • Collaborate with stakeholders to identify opportunities for business improvement using statistical and analytical methods
  • Help design and implement statistical data quality procedures for new and existing data sources
  • Contribute to communicating data science concepts and solutions clearly to team members and business leaders
  • Establish connections across data sources and identify new, meaningful data relationships
  • Aid in presenting findings and recommendations to key stakeholders while ensuring project goals are met on time

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 0-3 years of experience in data analytics
  • 0-2 years of programming experience

Skills

  • Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
  • Interpersonal, verbal and written communication skills with a focus on teamwork
  • Minimal experience with analytical and statistical software
  • Basic SQL skills
  • Strong analytical and problem-solving abilities with attention to detail and data accuracy
  • Ability to perform thorough research and analysis
  • Commitment to confidentiality and proper handling of sensitive information
  • Knowledge of computer science principles such as algorithms, data structures and design methodologies

Preferred Qualifications

Experience

  • Internship experience in a data scientist role

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BDA302 2026-79974 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 0-3 years of experience in data analytics
  • 0-2 years of programming experience

Skills

  • Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
  • Interpersonal, verbal and written communication skills with a focus on teamwork
  • Minimal experience with analytical and statistical software
  • Basic SQL skills
  • Strong analytical and problem-solving abilities with attention to detail and data accuracy
  • Ability to perform thorough research and analysis
  • Commitment to confidentiality and proper handling of sensitive information
  • Knowledge of computer science principles such as algorithms, data structures and design methodologies

Preferred Qualifications

Experience

  • Internship experience in a data scientist role
Employment Type: Full Time

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