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Associate Degree In Data Analytics Jobs in Ansonia, CT

Data Analyst

New Haven, CT ยท On-site

$70K - $90K/yr

Bachelor's degree in Business or a related science field, plus 3+ years of experience in Data Analytics, Project/Program Management, or Operations Management - or 6+ years of equivalent experience in ...

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This position is based in the USA and ensures that Data, Analytics, and AI architecture vision ... Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ...

Bachelor''s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, or a related field. * 0-2 years of relevant experience. * entry level candidates with ...

Apply NOW with your updated resume in word format. All selected profiles will be contacted within 1 ... Data Analyst Location: Milford, CT Duration: Fulltime/Permanent .Excellent customer facing skills ...

Bachelor's degree in Engineering, Information Systems, Computer Science, Analytics, or related field. * 8+ years of experience in data analytics, digital transformation, business intelligence ...

Bachelor's degree in Engineering, Information Systems, Computer Science, Analytics, or related field. * 8+ years of experience in data analytics, digital transformation, business intelligence ...

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Associate Degree In Data Analytics information

See Ansonia, CT salary details

$3.3K

$6.3K

$9K

How much do associate degree in data analytics jobs pay per month?

As of Aug 30, 2026, the average monthly pay for associate degree in data analytics in Ansonia, CT is $6,309.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,725.00 and $6,725.00 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What cities near Ansonia, CT are hiring for Associate Degree In Data Analytics jobs?

Cities near Ansonia, CT with the most Associate Degree In Data Analytics job openings:

Infographic showing various Associate Degree In Data Analytics job openings in Ansonia, CT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $75,718 per year, or $36.4 per hour.

Associate Data & Analytics Product Manager

Jobtailor

Trumbull, CT โ€ข On-site

$110 - $160/hr

Other

Posted 11 days ago


Job description

Responsibilities
  • Drive the design, development, and deployment of scalable data and analytics products that enable business transformation across Customer Operations.
  • Connect business strategy with data and technology, embedding new ways of working, accelerating adoption, and delivering measurable impact through innovative analytics solutions.
  • Define and drive the Data & Analytics capability strategy aligned to Customer Operations priorities, digital transformation goals, and enterprise data strategy.
  • Partner with business stakeholders, product teams, and engineering teams to translate business needs into deployable, highโ€‘value analytics products.
  • Establish standards, governance, and best practices to ensure sustainable product development, quality, scalability, and adoption.
  • Lead data, analytics, and AIโ€‘enabled transformation initiatives that advance Customer Operations toward a techโ€‘forward operating model.
  • Strengthen endโ€‘toโ€‘end business visibility and customerโ€‘centric decisionโ€‘making through scalable digital and analytics capabilities.
  • Build internal capability and foster a dataโ€‘driven culture by championing modern analytics practices, innovation, and continuous learning.
Requirements
  • Bachelorโ€™s degree in data engineering, Supply Chain, Analytics, or related field
  • 3+ years of experience in supply chain with a clear competence in analytics, digital technology (e.g., advanced analytics, AIโ€‘enabled platforms), and technology.
  • Proficiency with programming languages (e.g., SQL, Python, PySpark, Scala)
  • Experience with visualization platforms (e.g., Power BI, Tableau) and enterprise data ecosystems (e.g., Azure, Google Cloud)
  • Familiarity with enterprise systems (e.g., SAP) is preferred
Core Competencies

Demonstrates expertise in driving data and analytics product development aligned with business transformation goals, leveraging advanced analytics and AI technologies. Proven ability to establish governance and best practices while fostering a dataโ€‘driven culture within Customer Operations.

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