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App Data Jobs (NOW HIRING)

Ascend

Licensed Practical Nurse

Concord, CA · On-site

$24 - $27/hr

Monitoring wireless device and app data for changes in responses and health outcomes. * Escalating critical issues to clinicians on patient health. * Documenting all interactions with patients in the ...

Apple

App Store Data Scientist

Cupertino, CA · On-site

We are seeking a Revenue and Subscriptions Data Scientist to join a team passionate about Data Science & Analytics for Apple Services to support transaction and subscription businesses across App ...

Apple

App Store Data Scientist

Cupertino, CA

$175K - $311K/yr

We are seeking a Revenue and Subscriptions Data Scientist to join a team passionate about Data Science & Analytics for Apple Services to support transaction and subscription businesses across App ...

Apple Inc.

App Store Data Scientist

Cupertino, CA · On-site

$175.50 - $311.70/hr

We are seeking a Revenue and Subscriptions Data Scientist to join a team passionate about Data Science & Analytics for Apple Services to support transaction and subscription businesses across App ...

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Own the integrity of the dbt layer conventions (RAW CUR BTR APP), data contracts, SLAs, and the Single Source of Truth (SSOT) discipline that downstream BUs depend on. * Lead the engineering side of ...

AHU Technologies, Inc.

REACT Developer DC

$80/hr

... React App, data structure libraries • Experience with GIT version control repository [Required - 3 Years] • Experience with Tomcat/Jetty/undertow Application Servers [Required - 3 Years] • ...

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App Data information

What are some common challenges faced by professionals working with app data, and how can they be addressed?

Professionals working with app data often face challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy compliance. Addressing these challenges requires strong attention to detail, familiarity with data cleaning tools, and staying updated on relevant data protection regulations like GDPR. Collaboration with app developers, product managers, and compliance teams is essential to ensure that data collection methods are robust and that insights derived are actionable and secure.

What is the difference between App Data vs App Developer?

AspectApp DataApp Developer
Required CredentialsBasic understanding of data management, analytics, and database toolsProgramming skills, software development certifications, coding experience
Work EnvironmentData analysis teams, IT departments, or backend support rolesSoftware development teams, tech companies, or freelance projects
Employer & Industry UsageUsed across tech, retail, healthcare, and finance sectors for managing app-related dataDevelops and maintains mobile and web applications in various industries

App Data roles focus on managing, analyzing, and maintaining data related to applications, while App Developers design, build, and code applications. Both roles are essential in the app development lifecycle but differ in skills and responsibilities.

What are the key skills and qualifications needed to thrive as an app data analyst, and why are they important?

To thrive as an App Data Analyst, you need a strong background in statistics, data analysis, and experience with data querying languages like SQL, often supported by a relevant degree. Familiarity with analytics platforms such as Google Analytics, Tableau, or Power BI, and sometimes certifications in data analytics, are typically required. Strong problem-solving skills, attention to detail, and effective communication make someone excel in this role. These skills and qualities are essential for accurately interpreting data, providing actionable insights, and supporting data-driven decision-making within app development teams.

What is an app data professional?

App Data professionals are specialists who manage, analyze, and maintain data generated by software applications. They focus on ensuring the quality, security, and accessibility of app-related data, often working with databases, analytics tools, and cloud platforms. Their responsibilities may include data integration, reporting, and supporting app development teams with data-driven insights. These roles are essential for organizations that rely on applications to drive business decisions and improve user experiences.
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Cities with the most App Data job openings:

What states have the most App Data jobs?

States with the most job openings for App Data jobs include:

What job categories do people searching App Data jobs look for?

The top searched job categories for App Data jobs are:

App Data jobs near you
Infographic showing various App Data 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.

REDCap System Administrator-Enterprise App & Data Services

The University of Tennessee

Memphis, TN • On-site

$6.7K - $8.6K/mo

Full-time

Re-posted 20 days ago

Job description


Market Range: 15
Hiring Salary: $6,735.34 - $8,652.00/Monthly
JOB SUMMARY/ESSENTIAL JOB FUNCTIONS: The REDCap System Administrator is responsible for the technical administration, configuration, and support of UT Health Science Center's REDCap research data capture platform. This position serves as the campus subject-matter expert for REDCap, ensuring the integrity, structure, and appropriate use of research data entered in the system. Key functions include supporting researchers in study design and data standards, administering user access and system settings, performing programming and system customization, maintaining documentation, and ensuring the platform operates reliably to support active and future research projects across the institution.
Responsibilities
  1. Designs, configures, and maintains REDCap databases to support complex, interrelated research data collection efforts across UT Health Science Center.
  2. Analyzes research data structures, workflows, and data collection methodologies to ensure appropriate use of REDCap and alignment with best practices.
  3. Develops and maintains REDCap projects, including instruments, surveys, longitudinal designs, calculated fields, and data validation rules.
  4. Performs programming and scripting (e.g., PHP, SQL, APIs, or REDCap hooks) to extend REDCap functionality and integrate with institutional systems where appropriate.
  5. Troubleshoots complex issues related to data entry, reporting, access controls, and system behavior.
  6. Develops and delivers training sessions, documentation, and guidance on REDCap, research data management, and best practices.
  7. Provides work direction and subject-matter expertise to other ITS staff or project contributors supporting REDCap-related initiatives.
  8. Leads and manages strategic REDCap initiatives, including upgrades, new feature implementations, and process improvements.
  9. Evaluates short- and long-term data and system needs and recommends strategic enhancements.
  10. Performs system customization and programming to enhance functionality and integration with institutional systems.
  11. Serves as a senior-level consultant for faculty, researchers, and staff on REDCap use, research data design, and data standards.
  12. Stays current with emerging trends in research data management, analytics, REDCap development, and data governance.
  13. Performs other duties as assigned.

Qualifications
MINIMUM REQUIREMENTS:
EDUCATION: Bachelor's Degree. (TRANSCRIPT REQUIRED)
EXPERIENCE: Six (6) years of progressively responsible experience in data analysis, research data systems, or enterprise data environments; OR Master's Degree and four (4) years of progressively responsible experience in data analysis, research data systems, or enterprise data environments.
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Knowledge of research data management principles, data standards, and data quality practices.
  • Knowledge of advanced analytical methods and quantitative approaches as applied to research data collection and interpretation.
  • Skill in designing, managing, and analyzing complex data structures within REDCap or similar research data systems.
  • Skill in writing queries and generating reports to support research analysis and decision-making.
  • Ability to analyze complex data workflows and make independent recommendations with broad institutional impact.
  • Ability to communicate technical and analytical concepts effectively to diverse audiences.
  • Ability to establish and implement standards, policies, and procedures related to data access, security, and governance.

WORK SCHEDULE: This position may occasionally be required to work weekends.

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