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Data Analyst Jobs in Hamden, CT (NOW HIRING)

Staffworks Inc

Data Analyst

Southington, CT · On-site

Hybrid Data Analyst Contact Center Analytics & Conversational Intelligence (BPO) 📍 Southington, CT (Hybrid - 3 days in office) About the Role We're looking for a curious, data-driven Data Analyst ...

Avance Consulting Services

Data Analyst

Milford, CT · On-site

Data Analyst Location: Milford, CT Duration: Fulltime/Permanent .Excellent customer facing skills Good understanding of the QSR domain Specialization in Managing and supporting Restaurant Menus Good ...

Medix

Data Analyst

New Haven, CT · On-site

$50 - $70/hr

Job Summary Our client is seeking a skilled Data Analyst with expertise in BI & Dashboard Development, Advanced SQL Querying, and integration with Healthcare and EMR data systems. The primary goal is ...

IDOC LLC

Financial Data Analyst

Trumbull, CT · On-site

Role Summary As IDOC's Financial Data Analyst, you love to create and improve processes, definitions, workflows and provide order to efforts that result in tangible outcomes. You enjoy data entry and ...

CooperCompanies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

As a Sr. Data Analyst you will own the integrity, usability and structure of customer data throughout the implementation and ongoing reporting. You will lead efforts to create efficiencies, improve ...

CooperCompanies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

As a Sr. Data Analyst you will own the integrity, usability and structure of customer data throughout the implementation and ongoing reporting. You will lead efforts to create efficiencies, improve ...

Cooper Companies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

Proficiency in analyzing operational workflows and systems to support data analytics to make strategic recommendations that will lead to both internal and external efficiency * Expert-level SQL ...

lbank

BSA Data Analyst

Middletown, CT · On-site

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 ...

Liberty Bank

BSA Data Analyst

Middletown, CT · On-site

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 ...

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All JobsData Analyst JobsData Analyst Jobs in Hamden, CT

Data Analyst information

See Hamden, CT salary details

$33.8K

$82.2K

$135.2K

How much do data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analyst in Hamden, CT is $82,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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.
More about Data Analyst jobs

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

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For Data Analyst jobs in Hamden, CT, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Hamden, CT as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,160 per year, or $39.5 per hour.

Data Analyst

Staffworks Inc

Southington, CT • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hybrid Data Analyst
Contact Center Analytics & Conversational Intelligence (BPO)
📍 Southington, CT (Hybrid – 3 days in office)

About the Role

We’re looking for a curious, data-driven Data Analyst who thrives on turning customer conversations into actionable business insights. In this role, you’ll analyze consumer feedback from contact center interactions and help clients understand what their customers are saying—and more importantly, what to do about it.

You’ll work directly with clients and internal teams to uncover trends, build dashboards, and deliver clear, actionable recommendations that drive real improvements in customer experience and operations.

If you enjoy storytelling with data, working with stakeholders, and digging into trends others might miss, this is a strong fit.

What You’ll Do

Client-Facing Analytics

  • Analyze consumer feedback and identify key trends, themes, and opportunities

  • Translate data into clear, actionable insights for clients

  • Partner with clients to understand reporting needs and deliver tailored solutions

  • Build and present reports, dashboards, and visualizations using Tableau

  • Respond to ad-hoc data requests and business questions quickly and accurately

  • Monitor feedback on new products and deliver monthly insights to stakeholders

Data Visualization & Reporting

  • Design, build, and maintain Tableau dashboards and reports

  • Use Excel for advanced data analysis and reporting

  • Troubleshoot data issues across sources, dashboards, and visualizations

  • Create presentation-ready materials and insights for client-facing meetings

Internal Analytics & Operations

  • Lead weekly focus groups with contact center agents to identify emerging trends

  • Present weekly insights and performance data to internal leadership

  • Track and report on agent productivity and operational metrics

  • Support capacity planning and contact volume reporting

  • Maintain and update customer survey dashboards and reporting

  • Contribute data and visuals for Quarterly Business Reviews (QBRs)

What We’re Looking For

  • Strong communication skills—comfortable working directly with clients

  • Naturally curious with the ability to dig into data and uncover meaningful insights

  • Advanced Excel skills (formulas, lookups, data manipulation)

  • Experience with Tableau (dashboard creation, data visualization, storytelling)

  • Ability to simplify complex data into clear, concise takeaways

  • Highly organized with the ability to manage multiple projects and deadlines

Why Join Us

  • High-visibility role with direct client impact

  • Blend of analytics, strategy, and client interaction

  • Opportunity to influence real business decisions through data

  • Collaborative team environment with growth potential


 

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