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Senior 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 ...

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 ...

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 ...

Sr SQL Developer Position Summary The Sr SQL Developer is responsible for designing, developing ... Analytics * Design and maintain ETL processes for data integration, transformation, and automation ...

Senior SQL Developer Employment Type: Onsite Annexa Inc is currently working with DC Office of ... This role involves conducting thorough data analysis to identify trends and discrepancies and ...

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Senior Sql Data Analyst information

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$55K

$99.2K

$135.5K

How much do senior sql data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior sql data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What does a senior SQL data analyst do?

A Senior SQL Data Analyst is responsible for extracting, analyzing, and interpreting complex data sets using SQL and other data tools to help organizations make data-driven decisions. They design and optimize database queries, create reports and dashboards, and collaborate with stakeholders to understand business needs. Senior analysts often mentor junior team members and play a key role in improving data processes and ensuring data quality across the organization.

What are the key skills and qualifications needed to thrive as a senior SQL data analyst?

To thrive as a Senior SQL Data Analyst, you need advanced proficiency in SQL, data modeling, and analytics, often supported by a degree in computer science, information systems, or a related field. Expertise with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), BI tools (like Tableau or Power BI), and familiarity with ETL processes or relevant certifications are typically required. Strong problem-solving, critical thinking, and communication skills help you interpret data and present actionable insights to stakeholders. These capabilities are crucial for transforming complex data into strategic business decisions and driving organizational success.

How does a senior SQL data analyst typically collaborate with cross-functional teams to drive data-driven decisions?

Senior SQL Data Analysts often work closely with stakeholders from product, marketing, engineering, and business operations to understand their data needs and translate them into actionable insights. They lead the process of gathering requirements, designing complex queries, and presenting findings through reports or dashboards. Effective collaboration involves frequent communication, translating technical data into business language, and providing recommendations that support strategic objectives. This cross-functional engagement not only enhances the analyst’s understanding of the business but also positions them as a key partner in company decision-making.

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

AspectSenior Sql Data AnalystData Engineer
Required SkillsSQL, data analysis, reporting, visualizationSQL, data pipeline development, programming (Python, Java), database architecture
Work EnvironmentData analysis teams, business units, reporting focusData infrastructure teams, backend systems, data pipeline management
CertificationsSQL certifications, data analysis certificationsCloud certifications, data engineering certifications
Industry UsageBusiness intelligence, analytics, reportingData infrastructure, big data, system architecture

While both roles require SQL expertise, Senior Sql Data Analysts focus on analyzing data and generating reports, whereas Data Engineers build and maintain data pipelines and infrastructure. The roles complement each other but differ in technical scope and responsibilities.

More about Senior Sql Data Analyst jobs

What cities are hiring for Senior Sql Data Analyst jobs?

Cities with the most Senior 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:

What states have the most Senior Sql Data Analyst jobs?

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

Infographic showing various Senior 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

SQL Data Analyst

Conch Technologies Inc

Phoenix, AZ • On-site

Contractor

Re-posted 19 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.