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

Data Analyst Location- Charlotte, NC SynergisticIT is a full-service staffing and placement firm servicing clients in America for the past 10 years. We are dedicated towards fulfilling the IT needs ...

Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

Data Protection Sr. Analyst

Charlotte, NC · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers ... Data analysts/Data Scientists * Machine Learning engineers for full time positions with clients.

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Entry Level Data Analyst information

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

As of May 28, 2026, the average hourly pay for entry level data analyst in Clover, SC is $28.25, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $31.54 per hour, depending on experience, location, and employer.

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.

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 Clover, SC? The most popular types of Data Analyst jobs in Clover, SC are:
What are popular job titles related to Entry Level Data Analyst jobs in Clover, SC? For Entry Level Data Analyst jobs in Clover, SC, the most frequently searched job titles are:
What cities near Clover, SC are hiring for Entry Level Data Analyst jobs? Cities near Clover, SC with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Clover, SC as of May 2026, with employment types broken down into 6% As Needed, 65% Full Time, 13% Part Time, and 16% Contract. Highlights an 60% Physical, 2% Hybrid, and 38% Remote job distribution, with an average salary of $58,754 per year, or $28.2 per hour.
Entry Level Data Analyst

Entry Level Data Analyst

SynergisticIT

Charlotte, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Analyst

Location- Charlotte, NC SynergisticIT is a full-service staffing and placement firm servicing clients in America for the past 10 years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services.

Who should apply: Candidates who have difficulty finding jobs even after completing their bachelors and masters. Candidates who are working on redundant technologies and want to become relevant again to boost their growth. Candidates who want to enhance their skill portfolio

Required Qualifications: Bachelors or Masters in Computer Science/MIS/IT. Skills Required: Python-Statistical Programming. Structured Query Language (SQL) Microsoft Excel. Critical Thinking. Data Visualization. Presentation Skills. Machine Learning. Processing large volume of claims, describers and drug-based information for performing retail opportunity/expansion analysis for CVS pharmacies all over United States using tools like SQL. Creating ETL end-end data pipelines from extraction to transformation to data validation and finally performing ad-hock data analysis as per stakeholder's request. Using R/Python programming language for performing statistical analysis specifically price sensitivity analysis and predictive modelling/machine learning to determine how different input costs and other parameters will help us classify the data into different pricing models and make recommendation to business for making more insightful decisions. Working on Identifying KPI'S and business cases for Retail Specialty to track the performance of the project and suggest steps that can be taken to forecast better growth for the project. Creating and presenting the results for the stakeholders by creating large scale data visualization and dashboards using Tableau for communicating results to technical as well as non-technical audience. Training and working with new analysts in the team and making sure that they understand the process and help them in conducting day to day data analysis requests.

Tools Used: SQL, Teradata, Tableau, R, Python, SAS