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Data Analytics Jobs in Trumbull, CT (NOW HIRING)

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Apply analytical and statistical algorithms to help stakeholders enhance their business strategies * Collaborate on the design and implementation of data quality procedures for both current and new ...

IDOC LLC

Financial Data Analyst

Trumbull, CT · On-site

... based business analytics, personal account management, member-exclusive vendor discounts and ... You enjoy data entry and providing structure to processes. You will assist in gathering ...

pathwayRP

Data Analyst Specialist

Wilton, CT

... data architecture design, conversion and testing Strong organizational, analytical, communication and technical writing skills Ability and comfort level researching emerging issues, including ...

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

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 ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$110 - $130/hr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... This includes the preparation of CECL loan data across each of the relevant portfolios ...

Webster Bank

Manager, Financial Analytics

Stamford, CT · On-site

$112K - $147K/yr

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models ... This includes the preparation of CECL loan data across each of the relevant portfolios ...

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Data Analytics information

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How much do data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics in Trumbull, CT is $53.72, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $60.87 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Trumbull, CT?

The most popular types of Data Analytics jobs in Trumbull, CT are:

What are popular job titles related to Data Analytics jobs in Trumbull, CT?

For Data Analytics jobs in Trumbull, CT, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Trumbull, CT look for?

The top searched job categories for Data Analytics jobs in Trumbull, CT are:

What cities near Trumbull, CT are hiring for Data Analytics jobs?

Cities near Trumbull, CT with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Trumbull, CT as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $111,730 per year, or $53.7 per hour.

Junior Data Scientist/Business Intelligence Analyst

SynergisticIT

Stamford, CT • On-site

Other

Posted 9 days ago

Job description

Career Gap to Tech Career — Rebuild Momentum With Java or Data Skills If you have been unemployed for several months, returning to the job market can feel frustrating. You may have talent, education, or past experience, but hiring teams often look for recent proof that your skills are current. A career gap does not define your ability, but it does mean you need a strategy to rebuild confidence and show employers that you are ready. SynergisticIT is considering candidates interested in Java development, Python development, full-stack engineering, data analytics, data science, data engineering, DevOps, and ML/AI programming. This opportunity is especially relevant for candidates with career gaps, layoffs, limited experience, or outdated technical stacks. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for candidates with gaps because it helps rebuild momentum through structured upskilling, practical project work, resume improvement, interview preparation, and job-search support. Instead of applying randomly, candidates can work toward a more current and employer-ready profile. Do not let a career gap stop your progress— Contact us and restart with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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