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Data Analyst Jobs in Columbia, SC (NOW HIRING)

Data Architect

Columbia, SC

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP AND IMPLEMENT DATABASES, DATA COLLECTION SYSTEMS, DATA ANALYTICS AND OTHER STRATEGIES THAT OPTIMIZE ...

The IT DataBase Analyst 2 (DA2) is responsible for assessing complex data systems, creating reports, and designing new datasets while collaborating with users to determine system specifications and ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Governance- Manager

Columbia, SC · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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Showing results 1-20

Data Analyst information

See Columbia, SC salary details

$30.8K

$74.8K

$123.1K

How much do data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst in Columbia, SC is $74,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,800.00 per year, depending on experience, location, and employer.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

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, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

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 cities near Columbia, SC are hiring for Data Analyst jobs? Cities near Columbia, SC with the most Data Analyst job openings:

Analyst, Data Verification and Analysis

Scout Motors

Blythewood, SC

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

What you'll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

  • Support proper implementation and testing of software, functions, and diagnostics tests on the shop floor.  
  • Quantify data results from the software verification process throughout the product lifecycle. 
  • Produce data-driven validation analysis of commissioning, functional, and diagnostic errors.  
  • Reporting out to validation team to help develop measures to address them. 
  • Production focused development of guided fault-finding steps within commissioning stations throughout the production line. Communicating often with the after-sales diagnostics team. 
  • Help generate reports, evaluations, and key figures, emphasizing error evaluations from databases.  
  • Collaborate in cross-functional teams to identify immediate and long-term measures for improving quality and efficiency across the organization. 
  • Document and interpret analysis results within a larger context, drawing general conclusions, and identifying actionable insights to enhance processes and systems. 
  • Internally track defects to oversee their resolution and identify trends or recurring issues requiring systematic address. 
  • Collaborate with validation engineers to translate test outcomes into actionable feedback and visualize large datasets (CAN logs, sensor data, ECU traces) 
  • Support in the creation of dashboards and/or utilize reporting tools to monitor system health and regressions over time. 
  • Help develop scalable solutions for validation data storage, querying, and retrieval as the test volume grows. 
  • Utilize Ai or other methods for process optimization in guided fault finding, validation testing, continuous improvement and issue resolution. 
  • Installation and troubleshooting of loggers and other data recorders for all the test assets within the Validation and Analysis team. 

Location & Travel Expectations:

  • This role will be based out of the Scout Motors location in Blythewood, South Carolina. 
  • This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
  • Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you'll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

  • 2+ years of professional experience with experience in automotive preferred 
  • Bachelor's in automotive technology, electrical, software engineering or equivalent field.  Master's is a plus. An equivalent amount of relevant work experience may be considered in lieu of a degree. 
  • Knowledge of engineering processes and understanding of manufacturing processes. Preferably in automotive 
  • Proficiency in advanced programming languages such as C++, C#, Java or similar preferred  
  • Experience with tools to process and interpret CAN, LIN, or Ethernet data. (like CANalyzer/CANoe, Vector, etc.) 
  • Experience in data analysis and data mining techniques. 
  • Exposure to HIL testing/test automation is preferred 
  • Proficient in analytical and conceptual thinking, employing logic and reason in both creative and strategic contexts. 
  • Demonstrated ability in creative and strategic problem-solving, with experience troubleshooting vehicle systems. 
  • Ability to work independently and in a structured manner, displaying a high level of commitment, effective communication and teamwork skills. 
  • Proficiency in reading and understanding electrical schematics. 
What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting - with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

  • Competitive insurance including:
    • Medical, dental, vision and income protection plans
  • 401(k) program with:
    • An employer match and immediate vesting
  • Generous Paid Time Off including:
    • 20 days planned PTO, as accrued
    • 40 hours of unplanned PTO and 14 company or floating holidays, annually
    • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
    • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $80,000.00 - $97,500.00

Internal Leveling Code: IC10