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Evening 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

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

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Evening Data Analyst Sql Tableau information

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$34K

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

As of Jul 28, 2026, the average yearly pay for evening 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 is the difference between Evening Data Analyst Sql Tableau vs Evening Data Analyst Python Power BI?

AspectEvening Data Analyst Sql TableauEvening Data Analyst Python Power BI
Required SkillsSQL, Tableau, data visualizationPython, Power BI, data visualization
Work EnvironmentBusiness intelligence teams, data departmentsData analysis teams, business intelligence units
Common CertificationsTableau Desktop Specialist, SQL certificationsMicrosoft Certified: Data Analyst Associate, Python certifications

Both roles involve data analysis in evening shifts, focusing on data visualization and reporting. The key difference lies in the tools used: SQL and Tableau for the Evening Data Analyst Sql Tableau, versus Python and Power BI for the Evening Data Analyst Python Power BI. Your choice depends on the preferred technology stack and certifications.

What does an Evening Data Analyst specializing in SQL and Tableau do?

An Evening Data Analyst with expertise in SQL and Tableau is responsible for collecting, processing, and analyzing data during evening hours to support business decision-making. They use SQL to query and manage databases, extracting relevant information, and leverage Tableau to create interactive data visualizations and dashboards. This role often involves preparing reports, identifying trends, and providing actionable insights to stakeholders who may require support or updates outside of traditional business hours.

What are the key skills and qualifications needed to thrive as an Evening Data Analyst specializing in SQL and Tableau, and why are they important?

To thrive as an Evening Data Analyst specializing in SQL and Tableau, you need strong analytical abilities, attention to detail, and a solid background in data management, typically supported by a degree in a quantitative field. Proficiency in SQL for querying databases and expertise in Tableau for data visualization are essential, and knowledge of other business intelligence tools is often beneficial. Excellent problem-solving skills, communication, and the ability to work independently during evening hours help analysts stand out. These skills are crucial for transforming raw data into actionable insights and supporting business decisions during off-peak hours.

What are some unique challenges Evening Data Analysts face when collaborating with daytime teams?

As an Evening Data Analyst working with SQL and Tableau, one common challenge is coordinating with daytime teams who may have completed their workday by the time you start. This can lead to delays in receiving clarifications or feedback on urgent data requests. To overcome this, evening analysts often rely on detailed handover notes, clear documentation, and asynchronous communication tools. Building strong relationships with daytime counterparts and establishing regular check-ins can also help ensure smooth collaboration and continuity of data projects.
What cities are hiring for Evening Data Analyst Sql Tableau jobs? Cities with the most Evening Data Analyst Sql Tableau job openings:
What are the most commonly searched types of Data Analyst Sql Tableau jobs? The most popular types of Data Analyst Sql Tableau jobs are:
What states have the most Evening Data Analyst Sql Tableau jobs? States with the most job openings for Evening Data Analyst Sql Tableau jobs include:
JB061757 - HEDIS Data Analyst (SQL)

JB061757 - HEDIS Data Analyst (SQL)

USM

Philadelphia, PA โ€ข On-site, Remote

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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