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Data Jobs in Lexington, SC (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Columbia, SC · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Columbia, SC · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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All JobsData JobsData Jobs in Lexington, SC

Data information

See Lexington, SC salary details

$39.4K

$141.2K

$208.4K

How much do data jobs pay per year?

As of Aug 22, 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 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 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 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 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 managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

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:

Data jobs near you
Infographic showing various Data job openings in Lexington, SC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $141,248 per year, or $67.9 per hour.

Data/Information Architect - || Blythewood SC

Syntricate Technologies

Blythewood, SC • On-site

$50.75 - $65.50/hr

Full-time

Re-posted yesterday

Job description

Job Summary:
Syntricate Technologies is seeking a Data/Information Architect to work onsite in Blythewood, SC. The role involves creating and updating data models, ensuring database designs support scalability and integrity, and collaborating with various teams to translate business requirements into data models.
Responsibilities:
• Create and update data models and documentation using ERWIN
• Performing reverse and forward engineering of database structures.
• Providing best practices for data modelling, metadata management, and documentation.
• Designing, developing, and maintaining logical and physical data models using ERwin Data Modeler.
• Ensuring database designs support scalability, integrity, and performance requirements.
• Identify data integrity and consistency issues. Provide reporting and recommendations to address the issues.
• Identify and aid with duplicate data resolution.
• Collaborating with data architects, DBAs, developers, and business analysts to translate business requirements into data models.
• Managing version control of data models and maintaining model repositories.
• Supporting data governance and compliance initiatives through effective data modelling strategies.
Qualifications:
Required:
• 3 YEARS PROFESSIONAL DATA MODELING with ERWIN Data or similar data modelling tool
• 3 + ORACLE 18/19 DBA and/or SQL SERVER 2019, 2022
• High School Diploma
Preferred:
• 3 + years of Experience with BACKUP AND RESTORE of Databases
• 3+ year ORACLE GRID (CONTROL)
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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