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Entry Level Data Analyst Jobs in Ladson, SC (NOW HIRING)

TrustPoint Services

Financial Analyst

Charleston, SC · Remote

Salary: $55,000-$65,000 Entry-Level Financial Analyst Were looking for an Entry-Level Financial ... Flag variances, trends, and data inconsistencies for review by senior CFO consultants. Analysis ...

TrustPoint Services

Financial Analyst

Charleston, SC · Remote

Entry-Level Financial Analyst We're looking for an Entry-Level Financial Analyst to join our ... Flag variances, trends, and data inconsistencies for review by senior CFO consultants. Analysis ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

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 ...

Nextiny

Entry Level Digital Marketer

Charleston, SC · 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.

Keel

Records Analyst

Ladson, SC · On-site

Provides entry-level support in the analysis and evaluation of Quality records and systems. May assist in record inventories, filing, ERP data entry, tracking, and supporting audit activities. Under ...

Keel

Records Analyst

Ladson, SC

Provides entry-level support in the analysis and evaluation of Quality records and systems. May assist in record inventories, filing, ERP data entry, tracking, and supporting audit activities. Under ...

Keel

Records Analyst

Ladson, SC · On-site

Provides entry-level support in the analysis and evaluation of Quality records and systems. May assist in record inventories, filing, ERP data entry, tracking, and supporting audit activities. Under ...

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Entry Level Data Analyst information

See Ladson, SC salary details

$12

$30

$58

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

As of Jul 30, 2026, the average hourly pay for entry level data analyst in Ladson, SC is $30.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $34.57 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 Ladson, SC? The most popular types of Data Analyst jobs in Ladson, SC are:
What job categories do people searching Entry Level Data Analyst jobs in Ladson, SC look for? The top searched job categories for Entry Level Data Analyst jobs in Ladson, SC are:
What cities near Ladson, SC are hiring for Entry Level Data Analyst jobs? Cities near Ladson, SC 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 Ladson, SC as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $64,365 per year, or $30.9 per hour.

Financial Analyst

TrustPoint Services

Charleston, SC • Remote

Full-time

Posted 8 days ago

Job description

Salary: $55,000-$65,000

Entry-Level Financial Analyst

Were looking for an Entry-Level Financial Analyst to join our growing team and support our Fractional CFOs as we serve an expanding base of agency clients. This role is ideal for a recent graduate or early-career professional who is eager to build strong financial analysis skills, learn how financial data supports strategic decision-making, and gain exposure to client advisory work.

As an Analyst, you will work closely with experienced CFOs to support client onboarding, prepare financial reports, and assist with analytical projects such as valuations, compensation studies, and acquisition evaluations. This is a highly collaborative, learning-focused role with a clear path for growth as skills and experience develop.

This is a fully remote position; however, candidates must reside in the Charleston, South Carolina area. Local residency is a requirement for this role. Experience in the insurance industry is strongly preferred and will be considered a significant advantage.


Key Responsibilities


Client Onboarding & Financial Preparation

  • Assist with onboarding new CFO clients by collecting and organizing financial data.
  • Support the preparation of budgets, cash flow analyses, and benchmarking reports.
  • Help ensure financial information is accurate, complete, and ready for analysis.

Ongoing Client Support & Reporting

  • Prepare and update monthly financial reports for CFO clients.
  • Track results against budgets, forecasts, and key performance indicators.
  • Flag variances, trends, and data inconsistencies for review by senior CFO consultants.

Analysis & Project Support

  • Support agency valuation projects by assisting with financial normalization, maintaining models, and preparing backup documentation.
  • Assist with compensation analysis, acquisition evaluations, and other special projects.
  • Contribute to internal data and benchmarking initiatives to improve reporting tools and processes.

Client Exposure & Learning

  • Attend client meetings with senior CFO consultants to observe and learn best practices in financial advisory services.
  • Draft meeting notes, summaries, and follow-up items.
  • Develop a working understanding of financial consulting for independent insurance agencies.


Qualifications & Skills

  • Bachelors degree in Finance, Accounting, Economics, Business, or a related field.
  • Strong analytical skills with attention to detail.
  • Proficiency in Excel; experience with financial modeling or reporting tools is a plus.
  • Ability to organize data, meet deadlines, and work in a collaborative team environment.
  • Strong written and verbal communication skills.
  • Eagerness to learn and grow in a client-focused financial role.
  • Experience working in the insurance industry is a plus.
  • Must reside in the Charleston, South Carolina area.


Growth Opportunity

This role is designed as a foundational position with opportunities to take on increasing responsibility and grow into more advanced analytical or advisory roles over time.