2

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

Position Overview Sylvamo's Global Sourcing Associate Program is an entry-level program with a ... Support inventory optimization efforts through data analysis and stakeholder collaboration ...

Position Overview Sylvamo's Global Sourcing Associate Program is an entry-level program with a ... Support inventory optimization efforts through data analysis and stakeholder collaboration ...

... in the analysis, preparation, or modification of reports, calculations, studies, permits, and ... Field observations of roadway conditions and data collection A valid driver's license and some ...

Position Overview Sylvamo's Global Sourcing Associate Program is an entry-level program with a ... Support inventory optimization efforts through data analysis and stakeholder collaboration ...

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

PC Technician (Mainframe)

Columbia, SC · On-site

$17 - $22.50/hr

... analysis, tracking, and resolution. The job hours can include 24/7, nights, days, weekends, and ... Qualifications REQUIRED SKILLS (RANK IN ORDER OF IMPORTANCE): ENTRY LEVEL MAINFRAME EXPERIENCE ...

next page

Showing results 1-20

Entry Level Data Analyst information

See Columbia, SC salary details

$10

$26

$50

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

As of Aug 24, 2026, the average hourly pay for entry level data analyst in Columbia, SC is $26.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $30.05 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 Columbia, SC?

The most popular types of Data Analyst jobs in Columbia, SC are:

What are popular job titles related to Entry Level Data Analyst jobs in Columbia, SC?

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

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

The top searched job categories for Entry Level Data Analyst jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Entry Level Data Analyst jobs?

Cities near Columbia, SC with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Columbia, SC as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $55,923 per year, or $26.9 per hour.

Managed Services - Data Engineer - Senior Associate

Pwc

Columbia, SC • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work.
In this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of a dynamic team that uses a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers an opportunity to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Developing and implementing innovative data solutions to optimize business performance and enhance competitive advantage
- Leveraging advanced analytics techniques to drive insights and support informed business decisions for clients (DB2, SQL Server)
- Building and maintaining data pipelines and architectures to support data collection and analysis (DataStage, ETL)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create insightful reports and dashboards (AWS, Redshift)
- Collaborating with stakeholders to identify data challenges and opportunities for continuous process improvement (GoldenGate, CDC)
- Applying analytical thinking and data science skills to interpret complex data sets and inform strategic recommendations
- Engaging in stakeholder management to foster meaningful client connections and anticipate their needs (managed services)
- Navigating complex situations to deliver quality work and contribute to personal and professional growth (Workload Scheduler)
- Upholding professional and technical standards in all client engagements and deliverables
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Python and Java programming languages
- Utilizing Business Intelligence tools like QlikView and Oracle BI
- Developing data architecture and data pipeline solutions
- Excelling in data visualization and interpretation techniques
- Applying analytical thinking to solve complex data challenges
- Embracing change and demonstrating learning agility in dynamic environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


pwc logo

About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK