Analytics App Developer - 12 month FTC

Job Overview

Responsibilities

• Design, build, test, deploy and maintain lightweight analytics applications, primarily using Python and Streamlit, to support training and onboarding.
• Translate business and user requirements into intuitive application workflows, well-structured data models and transparent metrics.
• Work closely with Data Engineers to ensure data pipelines and reusable data sets meet application and analytical needs.
• Maintain application code in version control and contribute to testing, technical documentation and development best practices.
• Develop and maintain reusable datasets, semantic layer, data quality checks, monitoring and reporting for the data used by the applications.
• Gather user feedback and iteratively improve application usability, accessibility and adoption.
• Build dashboards and visualisations where they are the most appropriate way to communicate onboarding, adoption and business metrics.
• Support onboarding of new users to the data platform, improving accessibility and usability.

Required Skills and Experience

• Hands on experience developing data or analytic applications in Python using Streamlit, Dash or a similar framework.
• Experience designing, testing and maintaining user-facing applications, including the use of version control.
• Strong SQL skills and experience analysing and integrating data sets from multiple sources.
• Experience with Databricks (or similar modern data platforms).
• Working experience with notebooks and Python data libraries and processing frameworks (e.g. Pandas, PySpark).
• Understanding of deployment, CI/CD, orchestration and application support practices.

Nice To Have Skills and Experience

• Experience building dashboards and visualisation using Databricks SQL, Power BI, Tableau, or a similar tool.
• Familiarity with data quality frameworks and automated testing approaches.
• Understanding of data engineering concepts (pipelines, orchestration, version control).
• Exposure to working in a product-oriented or data platform environment.

Hybrid Working at Arm

• Arm's hybrid working approach supports both high performance and personal wellbeing.
• Teams determine their own hybrid working patterns depending on the work and the team's needs.
• Details of what this means for each role will be shared upon application.
• In some cases flexibility is limited by local legal, regulatory, tax or other considerations.

About Arm