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

Research Assistant 2

Hartford, CT

$19.50 - $26.75/hr

... data entry, statistical analysis, preparation of reports and presentations, library searches, and summarizing data for assigned research project(s). Functions as entry-level research professional ...

Research Assistant 2

Hartford, CT · On-site

$19.50 - $26.75/hr

... data entry, statistical analysis, preparation of reports and presentations, library searches, and summarizing data for assigned research project(s). Functions as entry-level research professional ...

Research Assistant 2

Hartford, CT · On-site

$19.50 - $26.75/hr

... data entry, statistical analysis, preparation of reports and presentations, library searches, and summarizing data for assigned research project(s). Functions as entry-level research professional ...

Research Assistant 2

Hartford, CT · On-site

$19.50 - $26.75/hr

... data entry, statistical analysis, preparation of reports and presentations, library searches, and summarizing data for assigned research project(s). Functions as entry-level research professional ...

... analyzing client needs, implementing software solutions, and providing training and support for ... You will interpret data to inform insights and recommendations, contributing to the overall ...

Showing results 41-60

Entry Level Data Analyst information

See Canton, CT salary details

$13

$34

$64

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

As of Aug 9, 2026, the average hourly pay for entry level data analyst in Canton, CT is $34.13, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $38.12 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 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.

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 the most commonly searched types of Data Analyst jobs in Canton, CT? The most popular types of Data Analyst jobs in Canton, CT are:
What cities near Canton, CT are hiring for Entry Level Data Analyst jobs? Cities near Canton, CT with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Canton, CT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,996 per year, or $34.1 per hour.

Manufacturing Engineer

Stark Pharma Solutions Inc

Springfield, MA • On-site

$72K - $93K/yr

Contractor

Re-posted 4 days ago


Job description

Hi,

My name is Sravani Dasari from Stark Pharma Solutions Inc. We are hiring talent for our client and are currently working on a Manufacturing Engineer position. Please send me your updated resume if you have relevant experience and are interested in this opportunity. The detailed job description is as follows.

Job Title: Manufacturing Engineer
Location: USA
Duration: Long Term

Position Overview

We are seeking a motivated Manufacturing Engineer with 0–1 year of experience to support manufacturing operations within the pharmaceutical, biotechnology, or medical device industry. This entry-level role is ideal for recent graduates or candidates with internship or co-op experience who are eager to build a career in regulated manufacturing. The selected candidate will assist with process improvements, manufacturing support, equipment qualification, documentation, and quality compliance while working closely with cross-functional teams.

Key Responsibilities

  • Support daily manufacturing operations to ensure safe, efficient, and compliant production.
  • Assist in monitoring and improving manufacturing processes to enhance productivity and product quality.
  • Support equipment installation, qualification, troubleshooting, and maintenance activities.
  • Assist with process validation, equipment qualification (IQ/OQ/PQ), and manufacturing documentation.
  • Prepare and maintain SOPs, work instructions, batch records, and engineering documentation.
  • Collaborate with Manufacturing, Production, Quality Assurance, Validation, Engineering, and Regulatory teams.
  • Collect and analyze manufacturing data to identify process improvement opportunities.
  • Assist with deviation investigations, CAPA activities, and change control documentation.
  • Ensure compliance with GMP, cGMP, FDA regulations, ISO standards, and company quality procedures.
  • Participate in Lean Manufacturing and continuous improvement initiatives.

Required Qualifications

  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Chemical Engineering, Biomedical Engineering, Biotechnology, or a related engineering discipline.
  • 0–1 year of experience through internships, co-op programs, academic projects, or entry-level roles in pharmaceutical, biotechnology, medical device, or regulated manufacturing environments.
  • Basic understanding of manufacturing processes and engineering principles.
  • Familiarity with GMP/cGMP, FDA regulations, ISO 13485, or regulated manufacturing practices is preferred.
  • Basic knowledge of process validation, equipment qualification, and quality systems is a plus.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work effectively in a cross-functional team environment.
  • Proficiency in Microsoft Office applications.
  • Eagerness to learn and grow in a regulated manufacturing environment.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Please follow Stark Pharma Solutions on LinkedIn for the latest job updates: https://www.linkedin.com/company/99455976/