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Entry Level Data Analyst Jobs in Manchester, CT (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Hartford, CT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Bowman

Data Clerk I

Hartford, CT · On-site

$21.70 - $26.58/hr

Data analysis and interpretation skills. * Strong written and verbal communication skills. * Highly ... Bachelor's degree in accounting or commensurate relevant experience preferred. * Entry level ...

Nextiny

Entry Level Digital Marketer

Hartford, CT · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

Springfield, MA · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Tradebe

Environmental Field Chemist

Berlin, CT

$7.8K/mo

Opportunity for entry-level and experienced candidates * Up to $7,800 student loan repayment What ... analyze container contents * Use internal software systems to research, record, and manage data

Salas O'Brien

Entry-level Civil Engineer

Bloomfield, CT · On-site

$75K - $80K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Applicants must have a working knowledge of Civil analysis and design software (specifically Civil ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Manchester, CT

Entry Level Data Analyst information

See Manchester, CT salary details

$13

$33

$62

How much do entry level data analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for entry level data analyst in Manchester, CT is $33.26, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.16 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Manchester, CT? The most popular types of Data Analyst jobs in Manchester, CT are:
What are popular job titles related to Entry Level Data Analyst jobs in Manchester, CT? For Entry Level Data Analyst jobs in Manchester, CT, the most frequently searched job titles are:
What cities near Manchester, CT are hiring for Entry Level Data Analyst jobs? Cities near Manchester, CT with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Manchester, CT as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $69,172 per year, or $33.3 per hour.

Business Analyst Position !!

MidWestern IT Inc

Hartford, CT • On-site

Other

Posted 21 days ago

Job description

Job Title : Business Analyst (Entry Junior Level)
Location: Hartford, Connecticut (Onsite / Hybrid)
Employment Type: W2 (Contract)
Experience Required: 0 2 Years
About the Role-
We are seeking a motivated and detail-oriented Business Analyst to join our growing team. The ideal candidate will work closely with business stakeholders, project managers, developers, and QA teams to gather requirements, analyze business processes, and support successful project delivery.
This is an excellent opportunity for entry level candidates, junior Business Analysts, professionals returning to the workforce, and individuals looking to transition into a Business Analyst career.
Key Responsibilities-
  • Gather, analyze, and document Business Requirements Documents (BRD) and Functional Requirements Documents (FRD)
  • Collaborate with business stakeholders and technical teams to define project requirements
  • Create and manage User Stories, Product Backlogs, and Sprint activities in an Agile environment
  • Perform data analysis, reporting, and validation using SQL and Excel
  • Support User Acceptance Testing (UAT) and coordinate with QA and development teams
  • Assist in process improvement initiatives and workflow analysis
  • Maintain project documentation using Jira and Confluence
  • Act as a liaison between business users and technical teams
Required Skills-
  • 6 months to 2 years of experience as a Business Analyst, Data Analyst, or related role
  • Good understanding of Business Analysis concepts and SDLC methodologies
  • Experience with SQL and Microsoft Excel
  • Knowledge of Agile/Scrum methodologies
  • Experience working with Jira and Confluence
  • Strong analytical, problem-solving, and communication skills
  • Ability to work effectively in a team-oriented environment
Preferred Skills-
  • Experience with Power BI or Tableau
  • Knowledge of data visualization and reporting tools
  • Exposure to software development projects and Agile delivery models
Work Authorization-
We are currently considering candidates with the following work authorization:
  • EAD
  • EAD
Why Join Us?
  • Opportunity to work on real-world client projects
  • Career growth and professional development
  • Supportive team environment
Interested candidates are encouraged to apply with their updated resume.

Thanks,

Prawah

Apply