Arm
Analytics App Developer - 12 month FTC

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Job ID 2026-16975
Date posted: 17/08/2026
Location: Cambridge, United Kingdom
Category: Operations
Job Overview
This role sits within the Enterprise Data & Insights (EDI) team, supporting the development of our Enterprise Data Platform (EDP) within Arm Operations.
We enable analytics for business teams through high-quality data products. You will design and build lightweight analytics applications on our data platform. This will bring data together from multiple sources and enable business teams to explore, understand, and act on trusted insights. You will work closely with Data Engineers, Analysts, and business stakeholders to translate user needs into intuitive applications, reusable data products that improve how data is accessed, understood, and used across the organisation.
This is a hands-on application development with strong analytical content. Its initial focus is an application that supports training and onboarding, with responsibility for usability, data quality, documentation, and adoption.
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 visualizations 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 analyzing 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 visualizations 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.
In Return
This is a meaningful role in shaping our Enterprise Data Platform, with the opportunity to influence how data is accessed, trusted, and used across Arm Operations.
Our 10x Mindset
About
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition, and creating impact that will be used by millions. We learn fast, prioritize collaboration, and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm:
Use of AI in Your Application
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application, and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem-solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact


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Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email
Hybrid Working
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to 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, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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