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Locum Data Analyst Sql Tableau Jobs (NOW HIRING)

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 ...

Create and maintain reports and dashboards using Tableau, Power BI, or Excel * Perform data validation, quality checks, and reconciliation * Write SQL queries to extract and analyze healthcare data

Data Analyst

Boston, MA ยท On-site

Job Title - Data Analyst Location - Boston,MA Duration: Long term Job Type: Contract Must Have: SQL Tableau Python Relational Databases

SQL, Snowflake, Tableau, ETL, DBT (70-80%) * Reporting & Analytics Tools * AI / ML exposure (20-30%) * Ex-Apple preferred Core Skills * Snowflake, SQL, Tableau, DBT, AWS * ThoughtSpot & Data ...

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How much do locum data analyst sql tableau jobs pay per year?

As of Jul 21, 2026, the average yearly pay for locum data analyst sql tableau in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by locum Data Analysts working with SQL and Tableau in new organizations?

As a locum Data Analyst specializing in SQL and Tableau, one common challenge is quickly adapting to unfamiliar data systems and business processes in each new assignment. You'll often need to get up to speed with the organization's specific databases, data structures, and reporting requirements in a short time frame. Additionally, building rapport and collaborating effectively with permanent staff and stakeholders is crucial, as you'll frequently work cross-functionally to deliver insights and meet tight project deadlines. Flexibility and strong communication skills are key to overcoming these challenges and ensuring successful project outcomes.

What are the key skills and qualifications needed to thrive as a Locum Data Analyst (SQL, Tableau), and why are they important?

To thrive as a Locum Data Analyst specializing in SQL and Tableau, you need strong analytical skills, experience with data modeling, and proficiency in querying databases, typically supported by a relevant degree in statistics, mathematics, or computer science. Expertise in SQL for data extraction and manipulation, as well as advanced Tableau skills for data visualization, are essential, with certifications in these platforms often preferred. Effective communication, problem-solving, and adaptability help you translate data insights into actionable business recommendations and collaborate across departments. These skills and qualities are critical for delivering timely, accurate insights in a contract or project-based environment where impact must be demonstrated quickly.

What is a Locum Data Analyst SQL Tableau?

A Locum Data Analyst SQL Tableau is a data analyst who works on a temporary or contract basis, specializing in using SQL (Structured Query Language) for database management and Tableau for data visualization. These professionals are often hired to cover short-term staffing needs or to work on specific projects. Their primary responsibilities include extracting and analyzing data from databases, creating reports, and developing dashboards to help organizations make data-driven decisions. They must be proficient in both SQL and Tableau, and adaptable to different work environments.
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JB061757 - HEDIS Data Analyst (SQL)

JB061757 - HEDIS Data Analyst (SQL)

USM

Philadelphia, PA โ€ข On-site, Remote

Contractor

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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