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Sql Data Analyst Jobs (NOW HIRING)

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job ... Analyze and reconstruct missing or corrupted data when necessary. * Collaborate with Product, QA, ...

New

Sentara

Senior Data Analyst

Norfolk, VA · Remote

$83K - $105K/yr

This is a hands-on individual contributor role for someone fluent in SQL and claims data, not a generalist business intelligence position. The Senior Data Analyst is the analytics owner for a health ...

New

RMSI

SQL Analyst

Seattle, WA · On-site

The role involves performing SQL related Impact Analysis, GAP Analysis and staging activities. Key ... Ability to ingest and transform common data formats for tabular and geospatial information.

Sentara

Senior Data Analyst - Remote

Norfolk, VA · Remote

$83K - $105K/yr

This is a hands-on individual contributor role for someone fluent in SQL and claims data, not a generalist business intelligence position. The Senior Data Analyst is the analytics owner for a health ...

New

GDIT

SQL Database Analyst

Springfield, VA · On-site

$164K - $170K/yr

Yes Deliver insights to help our clients turn data into action as a SQL Database Analyst at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance ...

GDIT

SQL Database Analyst

Arnold, MO · On-site

$164K - $170K/yr

Yes Deliver insights to help our clients turn data into action as a SQL Database Analyst at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance ...

D2 Technical Services

SQL Database Analyst

Arnold, MO · On-site

$135 - $140K/hr

Maintain data security, system integrity, and administrator accounts * Design and implement high ... Active TS/SCI clearance * 5+ years of SQL database analysis and/or administration experience

D2 Technical Services

SQL Database Analyst

Arnold, MO · On-site

$135 - $140K/hr

Maintain data security, system integrity, and administrator accounts * Design and implement high ... Active TS/SCI clearance * 5+ years of SQL database analysis and/or administration experience

INflow Federal

SQL Database Analyst

Springfield, VA · On-site

The SQL Database Analyst will analyze, design, develop, implement, and support SQL infrastructure ... data • Knowledge of Oracle 19c administration and performance tuning • Migration experience ...

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Sql Data Analyst information

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$21.5K

$87.6K

$127K

How much do sql data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for sql data analyst in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is an SQL Data Analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

Do data analysts work with SQL?

Yes, data analysts often work with SQL to extract, manipulate, and analyze data stored in relational databases. Proficiency in SQL is a key skill for performing data queries, creating reports, and supporting data-driven decision-making.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

What is the role of a SQL data analyst?

A SQL data analyst is responsible for collecting, analyzing, and interpreting data using SQL to extract insights that support business decision-making. They often work with large datasets, create reports, and use tools like SQL databases and data visualization software to communicate findings effectively.

What Does an SQL Data Analyst Do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

Is AI replacing data analysts?

AI is transforming the role of SQL Data Analysts by automating routine data processing and analysis tasks, but it does not fully replace the need for human expertise in interpreting data, making strategic decisions, and understanding business context. Data analysts with skills in SQL, data visualization, and machine learning tools remain essential for ensuring accurate insights and effective data-driven strategies.

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

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL Data Analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, financial analysts, marketing analysts, and operations analysts. Each specializes in analyzing specific data sets within their domain, often using tools like SQL, Excel, and data visualization software to support decision-making and strategic planning.
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Sql Data Analyst jobs near you
Infographic showing various Sql Data Analyst job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.
SQL Data Engineer

SQL Data Engineer

Mondo

Centreville, VA • Remote

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

Apply now: SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position.

Job Title: SQL Data Engineer
Location-Type: Remote (EST/CST Preferred)
Start Date Is: ASAP
Duration: Permanent
Compensation Range: $125,000 – $140,000 annually
Benefits: Eligible for Health, Dental, Vision, 401K, PTO
Must be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description:
The SQL Data Engineer will be responsible for investigating, remediating, migrating, and validating production data across enterprise-scale systems. This role focuses heavily on SQL Server, data migrations, ETL processes, XML data handling, and troubleshooting complex data integrity issues within mission-critical applications.

Day-to-Day Responsibilities:

  • Investigate and resolve data integrity issues within large production databases.
  • Write and execute complex SQL queries across highly relational data models.
  • Develop validation scripts and reporting to identify impacted records and data anomalies.
  • Design, test, and execute data correction and remediation scripts.
  • Lead and support data migration initiatives, including schema mapping and transformation logic.
  • Perform ETL activities, data mapping, and data quality validation.
  • Analyze and reconstruct missing or corrupted data when necessary.
  • Collaborate with Product, QA, DevOps, and Engineering teams to understand application data flows.
  • Optimize database performance and troubleshoot production issues.
  • Maintain migration runbooks, playbooks, and technical documentation.
  • Participate in Agile ceremonies, code reviews, and deployment planning.

Minimum Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5 years of professional experience working with relational databases.
  • Expert-level SQL Server experience.
  • Advanced SQL skills including complex JOINs, CTEs, window functions, query optimization, and indexing strategies.
  • Experience writing and executing safe bulk UPDATE, INSERT, and DELETE scripts in production environments.
  • Proven experience with data migration projects, schema mapping, transformation logic, and validation processes.
  • Experience working with XML data and querying XML within SQL environments.
  • Strong ETL and data quality validation experience.
  • Experience working with Git/GitHub and Jira.
  • Familiarity with cloud platforms, preferably Azure.
  • Ability to quickly learn and navigate large, unfamiliar database schemas.
  • Strong troubleshooting and problem-solving skills.
  • Self-starter capable of working independently with limited documentation and guidance.
  • Strong attention to detail and commitment to data accuracy.
Preferred Qualifications:
  • Experience with data reconstruction and forensic data investigation.
  • Experience within tax, government, financial services, or other regulated industries.
  • Familiarity with Azure SQL Managed Instance.
  • Exposure to VB.NET, ASP.NET, C#, Entity Framework, Dapper, or ADO.NET.
  • Experience with SQL Server Reporting Services (SSRS).
  • Experience supporting SaaS or hosted application environments.
  • Understanding of CI/CD pipelines and deployment automation.