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

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 ...

New

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

New

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

New

... data-driven, and customizable algorithmic trading solutions. Our technology stack combines high ... Requirements Description We are seeking highly motivated and detail-oriented entry-level candidates ...

New

... data-driven, and customizable algorithmic trading solutions. Our technology stack combines high ... Requirements Description We are seeking highly motivated and detail-oriented entry-level candidates ...

New

Accounts Receivable Analyst

Milford, CT

$24 - $30.50/hr

... data-driven team where you will have the opportunity to directly contribute to the success of our ... Whether you're entry-level or have several years of experience, we have a proven track record of ...

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Entry Level Data Analyst information

See Fairfield, CT salary details

$13

$33

$62

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

As of Aug 29, 2026, the average hourly pay for entry level data analyst in Fairfield, CT is $33.57, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $37.50 per hour, depending on experience, location, and employer.

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 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.

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.

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 the most commonly searched types of Data Analyst jobs in Fairfield, CT?

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

What are popular job titles related to Entry Level Data Analyst jobs in Fairfield, CT?

For Entry Level Data Analyst jobs in Fairfield, CT, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Fairfield, CT look for?

The top searched job categories for Entry Level Data Analyst jobs in Fairfield, CT are:

What cities near Fairfield, CT are hiring for Entry Level Data Analyst jobs?

Cities near Fairfield, CT with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Fairfield, CT as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,832 per year, or $33.6 per hour.

Other

Posted 3 days ago

New


Job description

BI Analyst

Location: Newark, NJ, USA
Job Type: Full-Time
Experience: 0–2 Years

Job Description

We are seeking a motivated and detail-oriented Business Intelligence (BI) Analyst to join our team. The ideal candidate will analyze business data, develop reports and dashboards, and provide actionable insights to support data-driven decision-making.

Key Responsibilities
  • Collect, analyze, and interpret data from multiple business sources.
  • Develop and maintain interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
  • Write and optimize SQL queries to extract, transform, and analyze data.
  • Work with business stakeholders to understand reporting and analytics requirements.
  • Identify trends, patterns, and insights to support business decisions.
  • Create and maintain KPIs, metrics, and performance reports.
  • Validate data accuracy and perform data quality checks.
  • Assist with data modeling, data transformation, and report automation.
  • Collaborate with Data Analysts, Data Engineers, and business teams.
  • Document reporting logic, data sources, and business requirements.
  • Present findings and insights to technical and non-technical stakeholders.
Required Skills
  • Strong analytical and problem-solving skills.
  • Proficiency in SQL.
  • Experience or academic knowledge of Power BI, Tableau, or another BI tool.
  • Strong knowledge of Microsoft Excel.
  • Basic understanding of data modeling and relational databases.
  • Knowledge of KPIs, dashboards, and data visualization best practices.
  • Good communication and stakeholder management skills.
  • Ability to analyze large datasets and identify meaningful insights.
Preferred Skills
  • Knowledge of Power BI DAX and Power Query.
  • Familiarity with Python or R for data analysis.
  • Basic understanding of ETL/ELT processes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with databases such as SQL Server, MySQL, PostgreSQL, Snowflake, or Redshift.
  • Knowledge of Agile/Scrum and tools such as JIRA and Confluence.
  • Internship, academic projects, or prior experience in Data Analytics or Business Intelligence.
Qualifications
  • 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 relevant internships, certifications, or academic projects are encouraged to apply.

Interested candidates can share their updated resume for consideration.