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Senior Data Analyst Developer Jobs in Columbia, SC

Pwc

Data Engineer - Senior Manager

Columbia, SC

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Responsibilities : • Proven working experience as a data analyst or business data analyst • ... SQL etc), programming (xml, Javascript, or ETL frameworks) • Knowledge of statistics and ...

Infojini Inc

Data Architect

Columbia, SC

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding ... programming (xml, Javascript, or ETL frameworks) Knowledge of statistics and experience using ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

DEVELOPS AND REFINES TECHNIQUES FOR COMPUTER ANALYSIS AND PRESENTATION OF DATA. • PREPARES CHARTS ... SQL ETC), PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) • KNOWLEDGE OF STATISTICS AND ...

Infojini Inc

Data Architect

Columbia, SC

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP ... PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) KNOWLEDGE OF STATISTICS AND EXPERIENCE USING ...

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Senior Data Analyst Developer information

See Columbia, SC salary details

$50.9K

$91.8K

$125.4K

How much do senior data analyst developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data analyst developer in Columbia, SC is $91,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $100,400.00 per year, depending on experience, location, and employer.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Columbia, SC?

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

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

The top searched job categories for Senior Data Analyst Developer jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Senior Data Analyst Developer jobs?

Cities near Columbia, SC with the most Senior Data Analyst Developer job openings:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,802 per year, or $44.1 per hour.

Data Analyst, Senior

Virginia Farm Bureau Mutual

West Columbia, SC • Hybrid

$79K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Are you looking for a great team environment?  Southern Farm Bureau Casualty Insurance Company is currently seeking a Data Analyst, Senior. 

Southern Farm Bureau is a great company and an excellent place to work. The Company offers a family-oriented work environment and a rich benefit package including paid time off, company matched 401(k), pension/retirement, medical, dental, vision, group life, accidental death and dismemberment, employee assistance program, a continued education program, and a hybrid home/office work schedule.  This position is located in Ridgeland, MS, Baton Rouge, LA, Cayce, SC and Little Rock, AR. 

The Data Analyst, Senior will direct and perform logical data modeling, identify patterns in data, design, analyze and document the enterprise data warehouse and ETL processes supporting it.  This team member actively participates in Data Governance initiatives to support the Enterprise Data Strategy across operational and analytical database environments. This position will work closely with the Data Analyst Lead working close to support the Enterprise Data Warehouse.

Essential Functions

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Analyze and mining business data to identify patterns and correlations among the various data points.

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Map and trace data within the enterprise data framework in order to solve a given business or system problem.

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Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.

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Perform statistical analysis of the enterprise data.  Extract existing data to manipulate/calculate/format into useful presentations.

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Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .

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Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.

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Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision. 

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Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.  

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Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and  Data Trends which may fit with enterprise needs.  Must be able to research and accurately articulate benefits and goals of these technologies.

Additional Responsibilities

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Regular and predictable attendance is required.

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Other duties as assigned.

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