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Data Jobs in Lexington, SC (NOW HIRING)

Data Modeler

Columbia, SC · On-site

$55 - $56/hr

Data Modeler Duration: Long Term Location: Columbia, SC- Hybrid Responsibilities: * Define and develop data modeling practices, standards, and guidelines * Create and manage conceptual, logical, and ...

Data Architect

Columbia, SC

$59 - $75.75/hr

Responsible for the overall design of the enterprisewide data/information architecture, which maps to the enterprise architecture and balances the need for access against security and performance ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

They are seeking a Data Architect who will be responsible for data modeling, database design, and business intelligence development, as well as collaborating with cross-functional teams to ensure ...

Data Architect

Columbia, SC

$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 ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

The Data Architect role involves overseeing project financials, developing reports, and implementing data analytics strategies to optimize efficiency and quality. Responsibilities : • MONITORING ...

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

$59 - $75.75/hr

Data Architect Duration: 3+ months with possibility extension Location: Columbia, SC (90% Remote) Description: Generic: Responsible for the overall design of the enterprisewide data/information ...

Data Strategy-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 ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

Data Insights Intern

Columbia, SC · On-site

$16.19/hr

Reporting to the First Steps Data Insights Coordinator, the Data Insights Intern provides essential administrative and technical support to the First Steps Research and Evaluation team. This role ...

Data Insights Intern

Columbia, SC · On-site

$16.19/hr

Reporting to the First Steps Data Insights Coordinator, the Data Insights Intern provides essential administrative and technical support to the First Steps Research and Evaluation team. This role ...

Junior Data Engineer

Columbia, SC · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position ...

Data Entry Specialist

Columbia, SC · On-site

$14 - $18.50/hr

Data Entry Specialist Hansen Talent Group is hiring a Data Entry Specialist to support data processing, client transactions, and regulatory compliance within a fast-paced finance company. This role ...

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Data information

See Lexington, SC salary details

$39.4K

$141.2K

$208.4K

How much do data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data in Lexington, SC is $141,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $145,500.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Lexington, SC? The most popular types of Data jobs in Lexington, SC are:
What job categories do people searching Data jobs in Lexington, SC look for? The top searched job categories for Data jobs in Lexington, SC are:
What cities near Lexington, SC are hiring for Data jobs? Cities near Lexington, SC with the most Data job openings:
Infographic showing various Data job openings in Lexington, SC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,248 per year, or $67.9 per hour.
Data Modeler

Data Modeler

TMS

Columbia, SC • On-site

$55 - $56/hr

Contractor

Posted 14 days ago


Job description

Role: Data Modeler
Duration: Long Term
Location: Columbia, SC- Hybrid 

Responsibilities:

  • Define and develop data modeling practices, standards, and guidelines
  • Create and manage conceptual, logical, and physical data models and metadata by working with stakeholders and others
  • Facilitate requirements gathering sessions with business units to capture data needs and translate them into model specifications
  • Collaborate with the development teams to ensure the database design meets application requirements
  • Conduct data analysis, and quality assurance to ensure data integrity and consistency
  • Implement database schema changes and modifications
  • Document data models, metadata, data flows, and data dictionaries
  • Provide technical support and guidance to users
  • Participate in model reviews
  • Train developers and others in modeling

 

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Systems or a related field
  • 4+ years of experience in data modeling
  • Experience with data modeling tools like Erwin or ER/Studio
  • Experience with SQL
  • Experience with databases such as Oracle, SQL Server, or MySQL
  • Knowledge of data warehousing and business intelligence concepts
  • Knowledge of cloud-based data storage and processing platforms such as AWS (S3, Redshift), Snowflake, Databricks
  • Excellent problem-solving skills and attention to detail
  • Strong communication and interpersonal skills
  • Ability to work independently and in a team environment
 
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