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Permanent Sql Data Analyst Jobs (NOW HIRING)

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 ...

... query optimization, and data validation Translating business requirements into SQL solutions ... data analysis Tableau or other data visualization software Criminal justice or other large ...

New

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 ...

Focus on SQL scripting, data mapping, and relational database schema design to support high-volume ... Analyze transaction life cycles, investigate data anomalies, and troubleshoot discrepancies between ...

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

New

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 ...

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 ...

New

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 ...

We are currently seeking a Data Analyst to support a growing team. Responsible for developing and ... Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex ...

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Permanent Sql Data Analyst information

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

As of Jul 19, 2026, the average yearly pay for permanent 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 a Permanent SQL Data Analyst?

A Permanent SQL Data Analyst is a professional employed full-time by an organization to analyze and interpret data using SQL (Structured Query Language). Their primary responsibilities include creating and managing databases, writing complex queries, and generating reports to support business decision-making. Unlike contract or temporary analysts, permanent SQL Data Analysts are regular employees who contribute to long-term data strategy and ongoing projects. They often collaborate with other departments to ensure data accuracy and provide insights that drive organizational growth.

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

To thrive as a Permanent SQL Data Analyst, you need a solid understanding of SQL, data analysis, and database management, often supported by a degree in computer science, information systems, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), ETL processes, and experience with relational database systems like Microsoft SQL Server or MySQL are typically required. Attention to detail, problem-solving ability, and strong communication skills help analysts interpret data accurately and present insights to stakeholders. These skills ensure data-driven decision-making and efficient management of organizational data assets.

What is the difference between Permanent Sql Data Analyst vs Contract Sql Data Analyst?

AspectPermanent Sql Data AnalystContract Sql Data Analyst
Employment TypeFull-time, ongoing employmentTemporary, project-based
BenefitsHealth insurance, retirement plans, paid leaveTypically no benefits, higher hourly rate
Work EnvironmentIn-house or long-term remoteVaries by project, often remote or short-term
Certifications & SkillsSQL, data analysis, possibly certifications like Microsoft Certified Data AnalystSimilar skills, often with added flexibility for specific project needs

Permanent Sql Data Analysts are employed full-time with benefits and stability, working primarily in in-house or long-term remote roles. Contract Sql Data Analysts work on short-term projects, often without benefits, and may have more flexible or remote work options. Both roles require similar technical skills, but employment type influences job stability and compensation structure.

How does a Permanent SQL Data Analyst typically collaborate with other departments within an organization?

As a Permanent SQL Data Analyst, you’ll frequently work with various teams such as marketing, finance, and IT to understand their data needs and deliver actionable insights. Collaboration often involves gathering requirements, designing queries tailored to specific business questions, and presenting findings in accessible formats. You'll also play a key role in data validation and troubleshooting, ensuring that stakeholders across departments are making decisions based on accurate and up-to-date information. Regular meetings and clear communication are crucial to align data solutions with organizational goals.
What cities are hiring for Permanent Sql Data Analyst jobs? Cities with the most Permanent 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 Permanent Sql Data Analyst jobs? States with the most job openings for Permanent Sql Data Analyst jobs include:

SQL Analyst

RMSI

Seattle, WA • On-site

Full-time

Re-posted 22 days ago


Job description


The role involves performing SQL related Impact Analysis, GAP Analysis and staging activities.
Key responsibilities include:
-Impact Analysis - Describe the predictable impact on the Apple Maps Product of issues encountered by Editors.
-Gap Analysis - Describe the magnitude and severity of missing information relative to expectations in developing workflows and available sources.
-Source Staging - Design and monitor automated workflows, and apply manual interventions as necessary to ensure source data is properly staged and suitable for intended use.
Qualifications:
-Ability to ingest and transform common data formats for tabular and geospatial information.
-Working knowledge of software asset control in GitHub.
-Ability to execute and troubleshoot SQL queries in a PostGIS database.
-Experience with Postgres spatial functions, using pgAdmin, MySQL, or other sql databases.
-Experience with database manipulation using python (pandas), R, or other language.
-Experience working with datasets in JSON file format.
-Familiarity with regex and hive.
-Working knowledge of map usage and digital mapping concepts.
-Ability to recognize common planimetric features in natural color photography.
-Ability to learn editing workflows in map editing software.
-Familiarity with common GIS editing software, including QGIS.
-Working knowledge of computer terms and concepts, especially as they apply to data sources and products that describe geo-referenced business listings.
-Ability to manage and organize large volumes of data.
-Excellent organization skills-able to design and implement ad-hoc tracking systems as spreadsheets or other desktop computer tools.
-Demonstrated ability to perform open-source research with a variety of search tools and techniques.
-Ability to follow (or question) complex procedural instructions in English that may have gaps, ambiguities, contradictions or other imperfections typical of early-stage piloting.
-Ability to produce concise documentation of issues encountered during the execution of Assignments, in a format that may be dictated to support issue tracking systems and to support the analysis of issue uniqueness.
Requirements
-4-5 years of experience working on Maps SQL.
-Familiarity in JSON file format
-Familiarity with regex and hive.
-Experience with database manipulation using python (pandas), R, or other language
-Experience working on Maps related program for Large Map development companies is a must.
-Has experience working on digital map production environment and responsible for Delivery and Quality functions.