1

Sql Data Analyst Jobs (NOW HIRING)

Advanced SQL * Data analysis and data validation * Power BI or Tableau * Excel * Dashboard development * Data visualization * Reporting and documentation * Strong analytical and communication skills ...

New

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Bachelor's degree 5.+years of experience with ETL and advanced SQL skills - Adept at queries, report writing and presenting findings • Expertise in Data Analysis, Data Profiling, and SQL Tuning SSI ...

Strong in advance SQL * Good at data analysis * Should be able to build BI dashboards using Tableau & Power BI * Candidate should be able to assist business stakeholders in building their dashboards

Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc. * Seek understanding of ODOT's data needs and document options for ...

Strong experience in Teradata for data warehousing and SQL-based analysis. * Hands-on experience with Big Data technologies such as Hadoop . * Good understanding of financial data, metrics, and ...

Proficient in SQL, query optimization, and analytical queries * Skilled in business requirements gathering and source-to-target mapping (STTM) * Experience with data consolidation, transformation ...

New

Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for migration project, and create Business Intelligence reports and dashboards. Mgr agrees to initial ...

Skills & Qualifications * 5-8 years of experience as a SQL/Data Analyst, with strong hands-on expertise in MS SQL (querying, data manipulation, and performance optimization) * Solid understanding of ...

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

Showing results 21-40

SQL Data Analyst information

See salary details

$21.5K

$87.6K

$127K

How much do sql data analyst jobs pay per year?

As of Aug 22, 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.

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.

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 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.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.

What cities are hiring for Sql Data Analyst jobs?

Cities with the most Sql Data Analyst job openings:

What are the most commonly searched types of Sql Data Analyst jobs?

The most popular types of Sql Data Analyst jobs are:

Who are the top companies hiring for Sql Data Analyst jobs?

The top employers for Sql Data Analyst jobs are:

What states have the most Sql Data Analyst jobs?

States with the most job openings for Sql Data Analyst jobs include:

What are popular job titles related to Sql Data Analyst jobs?

For Sql Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Sql Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

Senior Oracle SQL Analyst

Accord Technologies Inc.

Atlanta, GA • On-site

Contractor

Re-posted 8 days ago


Job description

Title: Senior Oracle SQL Analyst
Location: Atlanta, GA
Position type: W2 contract
 
Senior Oracle SQL Analyst candidates located near the Atlanta GA area to be considered due to the position requiring an onsite presence
REQUIRED EXPERIENCE
• Oracle SQL development against transactional databases (5+ Years)
• Writing complex SQL (joins CTEs subqueries CASE aggregate and analytic functions) (5+ Years)
• Normalized relational database design and table relationships (5+ Years)
• SQL job scheduling and automated database processes (3+ Years)
• Translating business requirements into SQL solutions (3+ Years)
• Operational reporting and data analysis (3+ Years)
PREFERRED EXPERIENCE 
• Oracle PL/SQL (procedures functions packages views) (3+ Years)
• SQL troubleshooting query optimization and data validation (5+ Years)
• Tableau or other data visualization software
• Criminal justice or other large transactional database environments
Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting, and strategic initiatives. This position primarily works with large, normalized Oracle transactional databases and is responsible for extracting, validating, analysing, automating, and maintaining operational data. This is not a traditional Business Intelligence or Dashboard Development position. Approximately 70–80% of the work involves writing Oracle SQL and PL/SQL directly against transactional databases. Candidates should have experience developing SQL from scratch rather than primarily working with data warehouses, semantic models, or pre-built Business Intelligence datasets. The candidate must be able to independently analyze business requirements, determine the appropriate database tables and relationships needed to answer complex business questions, and develop SQL solutions from scratch without relying on pre-built analytical tables, semantic models, visual query builders, or AI-generated SQL. This position is available for extensions. Candidate MUST come ON-SITE Day 1 for Orientation and Equipment Pick up. The Client does not ship equipment.
JOB RESPONSIBILITIES:
• Develop maintain and optimize complex Oracle SQL and PL/SQL programs
• Write simple and complex SQL queries from scratch against normalized Oracle transactional databases
• Analyze business requirements and determine the appropriate tables relationships joins and business rules needed to answer complex business questions
• Extract validate transform and analyze operational data for reporting research grants and executive requests
• Develop and maintain automated SQL processes scheduled database jobs and recurring data refreshes
• Troubleshoot SQL scripts automated jobs and data quality issues
• Create efficient reusable and well-documented SQL code
• Support recurring operational reports Key Performance Indicators (KPIs) legislative reporting and research initiatives
• Collaborate with business users to understand reporting needs and communicate analytical findings
• Support Tableau dashboards and other data visualization initiatives as needed