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Business Analyst Sql R Python Jobs in Columbia, SC

Petco

Analyst, Business Analytics

Sumter, SC

The Analyst, Business Analytics will provide support for several departments toward achieving their ... Microsoft SQL Server Experience with MicroStrategy is a strong plus #LI-AT2 #CORP Petco Animal ...

Infojini Inc

SQL DBA

Blythewood, SC

$40 - $49.75/hr

SQL SERVER 2008, 2012 SQL SERVER REPORTING SERVICES SQL SERVER ANALYSIS SERVICES REPORTS DESIGNER BUSINESS INTELLIGENCE TOOLS AND DESIGN. 8 - 10 YEARS SQL DBA EXPERIENCE Additional Information SQL ...

Varsity Tutors

Business Analytics Tutor

Columbia, SC · Remote

$40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Artefact

Sr Data Analyst

North, SC

$79.80K - $100.70K/yr

... business impact. Who We Are Founded and headquartered in Paris, Artefact is a next-generation ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Infojini Inc

SQL Server DBA

Blythewood, SC

Desired o Analyze, develop, and support stored procedures and SQL. Business Intelligence o Assess business intelligence tools for appropriateness to SCDMV data architecture, SQL and Oracle. o Design ...

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How much do business analyst sql r python jobs pay per hour?

As of May 30, 2026, the average hourly pay for business analyst sql r python in Columbia, SC is $43.88, according to ZipRecruiter salary data. Most workers in this role earn between $32.93 and $54.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.
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Business Analyst - Intermediate (Onsite)

Business Analyst - Intermediate (Onsite)

Serigor, Inc.

Columbia, SC • On-site

Full-time

Posted 2 days ago

Job description

Job Title: Business Analyst - Intermediate (Onsite)
Location: Columbia, SC
Duration: 12+ Months
Job Description:
The Client is seeking a Business Analyst-Intermediate who is responsible for gathering program requirements to generate monitoring and tracking templates, developing policies and procedures, creating and maintaining recurring reports, and performing data analysis and visualization to inform decision making and investigations related to Managed Care oversight. This position translates, summarizes, and communicates data findings to Bureau and Agency leadership and works collaboratively with other Managed Care staff and internal stakeholders (e.g., IT and systems) as appropriate. The work also includes learning and remaining familiar with the MCO Contract, Report Companion Guide, provider manuals, and policies to ensure appropriate data exploration. The Data Analyst reports to the Director of Targeted Oversight in the Bureau of Managed Care.
Objectives to Be Fulfilled by Candidate:
  • Conducts data analysis on program-specified projects using standard data exploration techniques including trend analysis and outlier identification. Ensures data quality through verification of outlying data points. Communicates logic model, data analysis steps, and results from data analysis to program staff and Bureau leadership to ensure understanding.
  • Conducts data analysis on grievance and appeals data (for both members and providers), service authorization data, and disputes data sets using standard data exploration techniques including trend analysis and outlier identification. Ensures data quality through verification of outlying data points. Communicates logic model, data analysis steps, and results from data analysis to program staff and Bureau leadership to ensure understanding. Conducts analyses and produces reports for quarterly and annual data within two weeks of plan submission of data. Disseminates analyses to Bureau leadership within one month of plan submission of quarterly and annually submitted data.
  • Develops and maintains policies and procedures for the management, verification, and maintenance of data associated with the performance of the Bureau of Managed Care and Managed Care contract.
  • Conducts data analysis on contract monitoring data sets using standard data exploration techniques including trend analysis and outlier identification. Ensures data quality through verification of outlying data points. Communicates logic model, data analysis steps, and results from data analysis to program staff and Bureau leadership to ensure understanding.
  • Leads or supports other projects proactively or as assigned by Office of agency leadership. Continuously engages in process improvement to support Agency, Division, and Office-wide strategies, objectives, and initiatives. Collaborate with other agency team members in research, development, implementation, and evaluation activities for services, projects, and agency initiatives as assigned. Performs other related duties as required.
  • Attends and participates in relevant opportunities for professional development and training. Demonstrates utilization and application of new skills learned to improve effectiveness and efficiency within assigned responsibilities.
  • Interacting with internal and external organizations (i.e. vendors, State and Federal government agencies, State providers, and other stakeholders).
  • Other project-related duties.

Required Skills (rank in order of importance):
  • Knowledge of methods of research design, data collection, data manipulation, data analysis and presentation of information.
  • Knowledge of applicable computer software products such as SAS, Excel, and Python.
  • Ability to analyze and interpret data using various statistical and mathematical techniques.
  • Ability to predict trends and future action based on the analysis of collected information.
  • Ability to prepare and present reports communicating the results of data analysis.
  • Ability to maintain effective working relationships with others.
  • Ability to communicate effectively.
  • Ability to learn new content and skills.

Required Education:
  • Master's degree in data science, public health, statistics, health informatics, or related field.

Preferred Skills (rank in order of importance):
  • Experience with federal or state health data systems (e.g., Medicaid, HRSA, HHS, Census) strongly preferred
  • Proficient in data analysis tools and techniques, such as SAS, Excel, data visualization tools, and statistical analysis software.

Additional Skills:
  • Superb written and oral communications skills, including the ability to relay moderately complex technical instructions and requests.
  • Experience working in a cross-functional team environment.
  • Ability to effectively communicate with team members, technical team, key stakeholders, and vendors.

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