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Remote Data Analyst Sql Excel Jobs (NOW HIRING)

SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and ... Performs what-if analysis in support of creating proposals for change and process improvement.

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We're hiring a Financial Analyst ...

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... Must be proficient with Microsoft SQL Server and SQL Reporting Services, Microsoft Excel, Microsoft ...

You excel at synthesize and communicate complex concepts and analyses in easy to understand ways ... Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.

Most of our positions are remote, providing flexibility while contributing to meaningful federal ... Experience with tools like SQL, Excel, Power BI, or Tableau for querying, analyzing, and ...

You excel at synthesize and communicate complex concepts and analyses in easy to understand ways ... Dive into data to predict and quantify user behavior: our members, Care Team, and network providers.

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Remote Data Analyst Sql Excel information

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How much do remote data analyst sql excel jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data analyst sql excel 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 is the difference between Remote Data Analyst Sql Excel vs Remote Data Scientist?

AspectRemote Data Analyst Sql ExcelRemote Data Scientist
Required SkillsSQL, Excel, data visualization, basic analyticsPython/R, machine learning, statistical modeling, SQL
Work EnvironmentBusiness, finance, marketing teamsResearch, product development, AI projects
CertificationsExcel, SQL certifications, data analysis coursesData science, machine learning certifications

Remote Data Analysts with SQL and Excel skills focus on data cleaning, reporting, and visualization for business insights. Remote Data Scientists typically require programming and advanced statistical skills to develop models and algorithms. While both roles work remotely and use SQL, Data Scientists often have a broader technical toolkit and work on more complex projects.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in SQL and Excel, and why are they important?

To thrive as a Remote Data Analyst with a focus on SQL and Excel, you need strong analytical skills, proficiency in data manipulation, and a relevant degree in statistics, mathematics, or a related field. Expertise in SQL for querying databases and advanced Excel functions for data analysis are essential, and certifications like Microsoft Excel Expert or SQL certifications are often valued. Attention to detail, problem-solving, and effective communication are key soft skills that help in interpreting data and presenting insights remotely. These competencies ensure accurate data-driven decisions and smooth collaboration with distributed teams.

What are Remote Data Analyst SQL Excel jobs?

Remote Data Analyst SQL Excel jobs involve analyzing and interpreting data using tools like SQL for database querying and Excel for data manipulation and visualization, all while working from a remote location. Professionals in these roles collect, clean, and analyze large datasets to help organizations make informed business decisions. They are expected to write SQL queries to extract data, use Excel for reporting and statistical analysis, and communicate insights to stakeholders. Remote positions offer flexibility, allowing analysts to work from home or anywhere with an internet connection.

How does a Remote Data Analyst using SQL and Excel typically collaborate with team members across different locations?

As a Remote Data Analyst specializing in SQL and Excel, you’ll frequently collaborate with team members through digital communication tools like Slack, Microsoft Teams, and project management platforms. You’ll share dashboards, reports, and data findings virtually, coordinating with stakeholders such as business analysts, managers, and IT staff. Regular video meetings and clear documentation are essential to ensure everyone stays aligned on project goals and timelines. Despite working remotely, proactive communication and timely updates help maintain strong team cohesion and project success.
More about Remote Data Analyst Sql Excel jobs
What cities are hiring for Remote Data Analyst Sql Excel jobs? Cities with the most Remote Data Analyst Sql Excel job openings:
What are the most commonly searched types of Data Analyst Sql Excel jobs? The most popular types of Data Analyst Sql Excel jobs are:
What states have the most Remote Data Analyst Sql Excel jobs? States with the most job openings for Remote Data Analyst Sql Excel jobs include:
Infographic showing various Remote Data Analyst Sql Excel job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
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