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Sql Data Analyst Jobs (NOW HIRING)

SQL Data Analyst Location: Hybrid - Phoenix, AZ (Local candidates preferred) Duration: 6+ Months We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping ...

SQL Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

This role will focus on complex data analysis, data validation, ETL processing, and production support for critical provider data automation projects. The ideal candidate has advanced SQL expertise ...

Experience with oracle tools such as SQL Developer ,Toad. Understanding of security concepts and implementing Oracle data security. Experience in PROD issue analysis, troubleshooting , root cause ...

This role will focus on investigating data issues, performing SQL analysis, validating data quality, researching data lineage, and acting as a bridge between business and technical teams. Key ...

SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only - in-person interview required Bachelor's degree in Computer Science, Engineering, Business or ...

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

Experience working as a BA/Data Analyst in a Data warehouse/Data governance platform. - Strong analytical and problem solving skills. - Proficiency in SQL, data analysis, and data visualization tools ...

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge ...

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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 Aug 8, 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 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.

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.

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.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the increasing reliance on data-driven decision making. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will SQL get me a job?

SQL Data Analysts are in high demand across various industries because of their ability to manage and analyze large datasets. Proficiency in SQL, along with skills in data visualization and understanding of databases, can improve job prospects and lead to roles in data analysis, business intelligence, and related fields.

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.

Is SQL high demand?

SQL is a highly in-demand skill for data analysts, as it is essential for managing and querying databases. Many organizations seek professionals proficient in SQL along with data visualization and analysis tools, making it a valuable skill for job seekers in data-related roles.

Do data analysts still use SQL?

Yes, data analysts still use SQL as it is a fundamental tool for querying and managing databases. Proficiency in SQL is often essential for extracting, analyzing, and reporting data efficiently in many organizations.
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:
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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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

SQL Data Analyst

Conch Technologies Inc

Phoenix, AZ • On-site

Contractor

Re-posted 2 days ago


Job description

 

SQL Data Analyst

Location: Hybrid – Phoenix, AZ (Local candidates preferred)
Duration: 6+ Months

Job Description

We are seeking a detail-oriented SQL Data Analyst to support data analysis, validation, and mapping activities for enterprise data initiatives. The ideal candidate will have strong SQL expertise, exceptional analytical skills, and experience working with both technical teams and business stakeholders to ensure data accuracy and consistency.

Responsibilities
  • Analyze and validate data across multiple systems to ensure accuracy and consistency.
  • Identify, investigate, and resolve data quality issues, including inconsistent values and missing standards.
  • Create and maintain detailed data mapping documentation for database engineering teams.
  • Develop bi-directional data mapping between source and target systems.
  • Perform data transformation analysis and support migration or integration efforts.
  • Collaborate with business users, developers, and database engineers to understand data requirements.
  • Document business rules, data definitions, and mapping logic.
  • Ensure high-quality deliverables through careful analysis and attention to detail.
Required Skills
  • Strong SQL skills with experience analyzing and validating large datasets.
  • Excellent attention to detail with a disciplined approach to data analysis.
  • Experience identifying and resolving data quality issues.
  • Strong understanding of data mapping and data transformation concepts.
  • Experience creating clear and structured mapping documentation.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Strong analytical, problem-solving, and documentation skills.
Preferred Qualifications
  • Experience supporting data migration, integration, or modernization projects.
  • Familiarity with enterprise databases and relational data models.
  • Experience working in Agile environments is a plus.