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Mobile Sql Data Analyst Jobs (NOW HIRING)

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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, ...

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 ...

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

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

$90K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data analyst

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

Azure SQL Data Architect - Remote

Del Valle, TX · Remote

$70.50 - $90.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Analyze system integration challenges related to data and propose effective solutions. * Create Roadmaps for modernization of legacy data platforms. * Design, develop, and maintain SQL databases and ...

SQL Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

RIT Solutions, Inc. is seeking a SQL Data Engineer to work with the development team on their ... The role involves analyzing needs and ensuring solutions align with current architecture while also ...

SQL Prompt Engineer Analyst

$140K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We're seeking a skilled SQL Prompt Engineer Analyst to join our team ... Join our Data Engineering team and help transform complex healthcare claims data into powerful ...

Showing results 41-60

Mobile Sql Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 15, 2026, the average yearly pay for mobile sql data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Mobile Sql Data Analyst vs Data Analyst?

AspectMobile Sql Data AnalystData Analyst
Required SkillsSQL, mobile data analysis, database management, reportingSQL, data visualization, statistical analysis, reporting
Work EnvironmentMobile app data environments, tech companies, startupsVarious industries including finance, healthcare, marketing
CertificationsSQL certifications, data analysis certificationsSQL certifications, data analysis certifications

The Mobile Sql Data Analyst specializes in analyzing data from mobile applications and platforms, focusing on mobile-specific metrics and databases. In contrast, a Data Analyst works across diverse data sources and industries, often handling broader data analysis tasks. Both roles require SQL skills and relevant certifications, but the Mobile Sql Data Analyst emphasizes mobile data environments, making it ideal for companies with mobile app products.

What are the key skills and qualifications needed to thrive as a mobile SQL data analyst, and why are they important?

To thrive as a Mobile SQL Data Analyst, you need a strong background in database management, SQL querying, and data analysis, often supported by a degree in computer science, information systems, or a related field. Familiarity with mobile analytics platforms, data visualization tools (such as Power BI or Tableau), and experience working with cloud databases and SQL-based systems are typically required. Analytical thinking, problem-solving ability, and effective communication skills help translate complex data into actionable insights for mobile product teams. These competencies ensure accurate data-driven decision-making and enable organizations to optimize their mobile applications based on user behavior and performance metrics.

What are some common challenges mobile SQL data analysts face when working with large datasets on mobile platforms?

Mobile SQL Data Analysts often encounter challenges related to resource limitations, such as memory and processing power, when querying and analyzing large datasets on mobile devices. Ensuring data security and integrity during data synchronization between mobile applications and backend databases is also critical. Additionally, optimizing SQL queries for mobile environments and handling intermittent connectivity can require creative problem-solving and strong technical skills. Collaborating closely with mobile developers and backend engineers is essential to design efficient data models and robust data pipelines.

What is a mobile SQL data analyst?

A Mobile SQL Data Analyst is a professional who specializes in analyzing and managing data for mobile applications using SQL (Structured Query Language). They collect, process, and interpret data generated by mobile apps to help organizations make data-driven decisions. Their responsibilities often include querying databases, generating reports, and identifying trends or issues related to mobile app performance and user behavior. They work closely with mobile developers, product managers, and other stakeholders to optimize mobile app experiences. Strong analytical skills and proficiency in SQL are essential for this role.

What cities are hiring for Mobile Sql Data Analyst jobs?

Cities with the most Mobile 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 Mobile Sql Data Analyst jobs?

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

SQL Data Engineer

Mondo

Centreville, VA • Remote

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Apply now: SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position.

Job Title: SQL Data EngineerLocation-Type: Remote (EST/CST Preferred)Start Date Is: ASAPDuration: PermanentCompensation Range: $125,000 – $140,000 annuallyBenefits: Eligible for Health, Dental, Vision, 401K, PTOMust be authorized to work in the U.S. This position is not eligible for sponsorship. 

Job Description:The SQL Data Engineer will be responsible for investigating, remediating, migrating, and validating production data across enterprise-scale systems. This role focuses heavily on SQL Server, data migrations, ETL processes, XML data handling, and troubleshooting complex data integrity issues within mission-critical applications.

Day-to-Day Responsibilities:

  • Investigate and resolve data integrity issues within large production databases.
  • Write and execute complex SQL queries across highly relational data models.
  • Develop validation scripts and reporting to identify impacted records and data anomalies.
  • Design, test, and execute data correction and remediation scripts.
  • Lead and support data migration initiatives, including schema mapping and transformation logic.
  • Perform ETL activities, data mapping, and data quality validation.
  • Analyze and reconstruct missing or corrupted data when necessary.
  • Collaborate with Product, QA, DevOps, and Engineering teams to understand application data flows.
  • Optimize database performance and troubleshoot production issues.
  • Maintain migration runbooks, playbooks, and technical documentation.
  • Participate in Agile ceremonies, code reviews, and deployment planning.

Minimum Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5 years of professional experience working with relational databases.
  • Expert-level SQL Server experience.
  • Advanced SQL skills including complex JOINs, CTEs, window functions, query optimization, and indexing strategies.
  • Experience writing and executing safe bulk UPDATE, INSERT, and DELETE scripts in production environments.
  • Proven experience with data migration projects, schema mapping, transformation logic, and validation processes.
  • Experience working with XML data and querying XML within SQL environments.
  • Strong ETL and data quality validation experience.
  • Experience working with Git/GitHub and Jira.
  • Familiarity with cloud platforms, preferably Azure.
  • Ability to quickly learn and navigate large, unfamiliar database schemas.
  • Strong troubleshooting and problem-solving skills.
  • Self-starter capable of working independently with limited documentation and guidance.
  • Strong attention to detail and commitment to data accuracy.
Preferred Qualifications:
  • Experience with data reconstruction and forensic data investigation.
  • Experience within tax, government, financial services, or other regulated industries.
  • Familiarity with Azure SQL Managed Instance.
  • Exposure to VB.NET, ASP.NET, C#, Entity Framework, Dapper, or ADO.NET.
  • Experience with SQL Server Reporting Services (SSRS).
  • Experience supporting SaaS or hosted application environments.
  • Understanding of CI/CD pipelines and deployment automation.