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Business Analyst Sql R Python information

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$18

$48

$73

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

As of Jul 24, 2026, the average hourly pay for business analyst sql r python in Marlton, NJ is $48.27, according to ZipRecruiter salary data. Most workers in this role earn between $36.20 and $60.43 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

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.

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.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

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.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What job categories do people searching Business Analyst Sql R Python jobs in Marlton, NJ look for? The top searched job categories for Business Analyst Sql R Python jobs in Marlton, NJ are:
What cities near Marlton, NJ are hiring for Business Analyst Sql R Python jobs? Cities near Marlton, NJ with the most Business Analyst Sql R Python job openings:
Business Analyst Sql R Python jobs near you
JB061757 - HEDIS Data Analyst (SQL)

JB061757 - HEDIS Data Analyst (SQL)

USM

Philadelphia, PA • On-site, Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

  • Start Date: Interview Types
  • Skills Healthcare Effective.. Visa Types US Citizen

    • Job Title: HEDIS Data Analyst (SQL)
    Location: Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote
    Duration: Long-Term Contract
    Job Summary
    We are seeking a detail-oriented HEDIS Data Analyst with strong SQL skills to support Healthcare Effectiveness Data and Information Set (HEDIS) reporting, quality improvement initiatives, and healthcare data analysis. The ideal candidate will have experience working with healthcare data, analyzing HEDIS measures, validating data accuracy, and developing SQL queries to support reporting, compliance, and performance improvement.
    Key Responsibilities
    • Analyze and validate HEDIS (Healthcare Effectiveness Data and Information Set) measures to support quality improvement and regulatory reporting.
    • Develop, write, optimize, and maintain complex SQL queries for healthcare data extraction, validation, and reporting.
    • Perform data analysis to identify trends, gaps in care, and opportunities for quality improvement.
    • Validate data accuracy and ensure compliance with HEDIS specifications and organizational standards.
    • Collaborate with quality, clinical, business, and IT teams to support HEDIS reporting initiatives.
    • Perform data reconciliation, quality assurance, and root cause analysis of data discrepancies.
    • Support annual HEDIS submission activities, including data validation and audit preparation.
    • Create reports, dashboards, and data summaries to support leadership decision-making.
    • Monitor data quality and recommend process improvements to improve reporting accuracy.
    • Document SQL queries, data mapping, business rules, and reporting processes.
    • Assist with troubleshooting data issues and resolving reporting discrepancies.
    • Ensure compliance with HIPAA and healthcare data privacy regulations.

    Required Qualifications
    • Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, Data Analytics, or a related field (or equivalent experience).
    • 3+ years of experience working with HEDIS reporting or healthcare quality data.
    • Strong hands-on experience writing and optimizing SQL queries.
    • Experience analyzing large healthcare datasets.
    • Knowledge of HEDIS measures, quality reporting, and healthcare data standards.
    • Strong analytical, problem-solving, and data validation skills.
    • Excellent communication and documentation skills.

    Preferred Qualifications
    • Experience with managed care, health plans, or payer organizations.
    • Familiarity with NCQA HEDIS specifications and reporting guidelines.
    • Experience with healthcare data warehouses and reporting tools.
    • Knowledge of claims, provider, member, and clinical data.
    • Experience with ETL processes and data integration.
    • Experience with BI tools such as Power BI, Tableau, or SSRS.

    Required Skills
    • HEDIS (Healthcare Effectiveness Data and Information Set)
    • SQL
    • Database Querying
    • Healthcare Data Analysis
    • Data Validation
    • Data Quality
    • Reporting & Analytics
    • Healthcare Quality Measures
    • Claims Data Analysis
    • Clinical Data Analysis
    • NCQA HEDIS Guidelines
    • Data Reconciliation
    • Root Cause Analysis
    • Dashboard Development
    • HIPAA Compliance
    • Microsoft SQL Server / Oracle / PostgreSQL (as applicable)
    • Problem Solving
    • Documentation
    • Healthcare Informatics
    Quality Improvement

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