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Entry Level Data Analysis Jobs in Bluffton, SC (NOW HIRING)

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.

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.

2027 Intern - Technology

Savannah, GA

$14 - $18.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

2027 Intern - Technology

Savannah, GA ยท On-site

$14 - $18.75/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

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Entry Level Data Analysis information

See Bluffton, SC salary details

$12

$30

$57

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

As of Sep 5, 2026, the average hourly pay for entry level data analysis in Bluffton, SC is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $34.28 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Bluffton, SC?

The most popular types of Data Analysis jobs in Bluffton, SC are:

What job categories do people searching Entry Level Data Analysis jobs in Bluffton, SC look for?

The top searched job categories for Entry Level Data Analysis jobs in Bluffton, SC are:

What cities near Bluffton, SC are hiring for Entry Level Data Analysis jobs?

Cities near Bluffton, SC with the most Entry Level Data Analysis job openings:

Infographic showing various Entry Level Data Analysis job openings in Bluffton, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,806 per year, or $30.7 per hour.

Data Scientist /data analyst entry level /AI /software programmer(Remote)

SC Works Trident

Savannah, GA โ€ข On-site

$55 - $75/hr

Other

Posted 4 days ago


Job description

Data Scientist /data analyst entry level /AI /software programmer(Remote)

Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026

Positions available: 1 Source: SynergisticIT Web Site: www.synergisticit.com Onsite / Remote: Work at home all of the time

Job #: 24-02321

Type of Job: Not Available Full or Part Time: Full Time (30 Hours or More) Job Duration: Not Available

Minimum Experience Required: Not Available

Minimum Education Level Required: Not Available Required License/Certification: Not Available

Occupation Information for Data Scientists

Data Scientists - Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

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