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Mobile Sql Data Analyst Jobs (NOW HIRING)

Skills & Qualifications * 5-8 years of experience as a SQL/Data Analyst, with strong hands-on expertise in MS SQL (querying, data manipulation, and performance optimization) * Solid understanding of ...

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 ...

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, ...

The role involves performing SQL related Impact Analysis, GAP Analysis and staging activities. Key ... Ability to ingest and transform common data formats for tabular and geospatial information.

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

As a SQL Analyst in the Wiley Marketing team, you will play a crucial role developing strategically ... We have rich data landscape at our fingertips, this role is a key advocate in its practical use and ...

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

SQL (Advanced) * Data Analytics & Business Intelligence * KPI Reporting & Dashboard Development * Data Visualization (Tableau, Power BI, Looker, Mode, Hex) * GIS / Mapping Data Analytics (Preferred)

New

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Mobile Sql Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 16, 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:
Data Analyst

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role : Data Analyst
Location: Phoenix, AZ Its day 1 onsite role
Duration: Long term
Job Description
Looking for a Data Analyst to join the Cyber Data Active Intelligence team. This role will partner with data engineers, security teams, and stakeholders to deliver scalable data and reporting solutions.
The analyst will work on cybersecurity data sets (e.g., threat, vulnerability, and operational telemetry) to develop metrics, support reporting, and provide insights that strengthen security posture. This role will contribute to both batch and near real-time data pipelines and help ensure data quality and usability across platforms.
Skills & Qualifications
  • 5-8 years of experience as a SQL/Data Analyst, with strong hands-on expertise in MS SQL (querying, data manipulation, and performance optimization)
  • Solid understanding of business domains and the ability to translate business needs into data solutions
  • Familiarity with cybersecurity data domains (e.g., vulnerability data, threat intelligence, access logs, incident data) and how data supports security operations is a plus
  • Proven ability to analyze moderately large and complex datasets to generate actionable insights, metrics, and operational reports
  • Experience identifying data gaps, inconsistencies, and anomalies, particularly within security-related datasets
  • Strong experience working with multiple data sources, including joins, views, and stored procedures, to integrate and transform data
  • Experience building and supporting dashboards and reports using BI tools (e.g., Qlik, Tableau, Power BI, SSRS)
  • Strong collaboration and communication skills, with the ability to work effectively with security teams, engineers, and business stakeholders
  • Ability to quickly learn and adapt to new technologies; familiarity with the agentic AI space or experience building data agents is a plus