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Sql Data Analyst Jobs (NOW HIRING)

SQL and database digging (role would be focused on data support for upcoming product enhancement and analysis) * Analytical thinking (there are no pre-existing solutions for the most of the request ...

Data Analyst

Brooklyn, MI · On-site

$80/hr

Mandatory Skills/Experience Data Analyst, SQL, ETL Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe and Relational Database environments. Experience creating ...

New

... in SQL, data bricks, python, GIT and familiar with Alexandria Feature Library at Capital One is a HUGE plus. Problem solving - Strong ability to identify problems, analyze causes, and develop ...

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 ...

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

SQL Data Engineer We are seeking a Data Engineer to design, develop, test, and support SQL Server ... Collaborate with business users, analysts, developers, data engineers, DBAs, and QA resources ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making. This role requires ...

Extract, validate, transform, and analyze operational data for reporting, research, grants, and executive requests. * Develop and maintain automated SQL processes, scheduled database jobs, and ...

DCS - Sr. Oracle SQL Analyst

Atlanta, GA · On-site

$53 - $53.76/hr

DCS - Sr. Oracle SQL Analyst Duration: 08/10/2026 - 06/30/2027 Work Hours: 8hrs/day 5days/week ... data. * This is not a traditional Business Intelligence or Dashboard Development position.

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, ...

Write and optimize SQL queries for data extraction, validation, and analysis * Work with Azure Data Lake, Azure Synapse Analytics, and related cloud platforms * Develop and maintain Power BI ...

Develop and maintain SQL queries, reports, dashboards, and analytical models. * Conduct root cause analysis for data issues and recommend corrective actions. * Collaborate with technology teams ...

The ideal candidate will have strong banking domain knowledge, advanced SQL and data analysis skills, and experience performing data profiling, reconciliation, impact analysis, and root cause ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

Role - Data Analyst Experience Required - 8+ Years Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management ...

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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.
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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.

Data Analyst

TriOptus LLC

El Segundo, CA • On-site

Full-time

Re-posted 10 days ago


Job description

Job Code - Data Analyst
Work Location - El Segundo CA 90245 (remote role but prefer local to be able to come in office)
Total Hours - Contract initially up until 12/31/22
Description
  • SQL and database digging (role would be focused on data support for upcoming product enhancement and analysis)
  • Analytical thinking (there are no pre-existing solutions for the most of the request so candidate should be able to find the way to figure and explain based on open question and the raw data)
  • Excel (formulas, working with big datasets, manual modeling)
  • Agility (my group located at Product Marketing but analytical function covers much more business needs such as Sales Enablement, Viewership analytics , Supply chain , so the ideal candidate should be open to learn different aspects of the business and being agile in prioritization of the requests and work)
  • Communicability (being able to list and summarize all the findings and communicate it in a different formats to the leadership and groups)

Top Skills
  • SQL (data mining, coding)
  • Excel (Big datasets and modeling)
  • Powerpoint (Visualization)
  • Flexibility/Fast-Learning
  • Communicability and detailing to the scope