Staff Data Analyst, Supply Chain Analytics

Arm Limited; Boston; On-site; PHP 8,173,000 - 11,057,000; Full time

Job summary

Arm Limited in the Philippines is seeking a Data Analyst to help build and scale advanced analytics and market intelligence within our Supply Chain organization. You will work with data integration, forecasting, competitive intelligence, and reporting that informs strategic and operational decisions.

The role requires strong quantitative skills, experience with Python, R, SQL, and Excel, and the ability to translate complex findings for senior leadership.

Qualifications

• Bachelor's or higher in a quantitative field such as Data Science, Economics, Finance, Statistics, Mathematics, CS or Business Analytics.
• Demonstrated experience in data analytics, market intelligence, quantitative research, or data science.
• Proficiency with Python, R, SQL, and Excel for analysis and reporting.
• Experience with data governance, validation, automation, and analytical reporting.

Responsibilities

• Develop analytical frameworks to evaluate semiconductor markets, technology trends, supplier dynamics, and industry developments.
• Apply statistical and econometric techniques to forecast market demand, component pricing, and supply availability.
• Integrate external market intelligence with internal procurement and planning data to identify risks and opportunities.
• Analyze competitive dynamics, emerging technologies, and market shifts influencing long-term supply chain strategy.
• Build scalable reporting frameworks and interactive dashboards to improve supply chain and market visibility.
• Partner with cross-functional stakeholders to translate business challenges into structured analytical projects.
• Develop executive-level reporting, presentations, and recommendations communicating analytical findings and business implications.

Skills

Python

R

SQL

Excel

Data analytics

Communication

Cross-functional collaboration

Education

Bachelor's degree in Data Science, Economics, Finance, Statistics, Mathematics, Computer Science, Business Analytics, or related field

Master's degree in Economics, Finance, Data Analytics or related field

Tools

Power BI

Tableau

Python

R

Job description

Job Overview:

We are seeking a Data Analyst to help build and scale advanced analytics and market intelligence capabilities within our Supply Chain organization. This role will focus on data integration, market forecasting, competitive intelligence, statistical analysis, and analytical tools supporting strategic and operational decisions.

The Data Scientist will collaborate across Procurement, Operations, Finance, Engineering, and other business functions to transform complex internal and external datasets into actionable insights that improve supply chain visibility, supplier strategy, cost management, and long-term planning.

The ideal candidate combines strong quantitative and analytical skills with an understanding of technology markets, business strategy, and the ability to communicate complex findings to executive stakeholders.

Responsibilities:

Market Intelligence & Forecasting

• Develop analytical frameworks to evaluate semiconductor markets, technology trends, supplier dynamics, and industry developments.


• Apply statistical and econometric techniques to forecast market demand, component pricing, and supply availability.


• Integrate external market intelligence with internal procurement and planning data to identify risks and opportunities.


• Analyze competitive dynamics, emerging technologies, and market shifts influencing long-term supply chain strategy.

Data Integration, Management & Automation

• Integrate and validate data from multiple internal and external sources to establish reliable analytical datasets.


• Develop automated data collection, transformation, validation, and reporting processes using Python, R, SQL, and other tools.


• Support data governance, quality standards, and consistent definitions across analytical workflows.


• Build scalable reporting frameworks and interactive dashboards to improve supply chain and market visibility.

Statistical Analysis & Scenario Planning

• Develop statistical models to analyze pricing trends, supply-demand relationships, and drivers of market variability.


• Build scenario and sensitivity analyses to quantify changes in market conditions, supplier constraints, and business assumptions.


• Evaluate financial and operational implications of procurement and supply planning strategies.


• Leverage advanced analytics, machine learning, and AI-enabled tools where appropriate to improve analytical efficiency and decision quality.

Strategic Analysis & Executive Decision Support

• Partner with cross-functional stakeholders to translate business challenges into structured analytical projects.


• Conduct market, competitive, financial, and technology research supporting strategic sourcing and supply chain planning.


• Develop executive-level reporting, presentations, and recommendations communicating analytical findings and business implications.


• Support time-sensitive analyses and strategic initiatives involving multiple business functions.

Required Skills and Experience:

• Bachelor's degree in Data Science, Economics, Finance, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.


• Demonstrated experience in data analytics, market intelligence, quantitative research, or data science.


• Proficiency in analytical tools such as Python, R, SQL, and Excel.


• Experience with statistical analysis, forecasting, and integrating data from multiple sources.


• Strong understanding of data management, validation, automation, and analytical reporting.


• Ability to translate complex analytical findings into actionable business recommendations.


• Strong communication, project management, and cross-functional collaboration skills.


• Ability to independently manage analytical initiatives and present findings to senior leadership.

“Nice To Have” Skills and Experience:

• Master's degree in Economics, Finance, Data Analytics, or a related quantitative discipline.


• Experience in technology markets, semiconductor industries, cloud infrastructure, or enterprise technology.


• Background in market research, competitive intelligence, technology strategy, or strategic consulting.


• Experience with econometric modeling, market forecasting, and scenario analysis.


• Familiarity with Power BI, Tableau, or similar business intelligence platforms.


• Experience supporting data governance, large-scale data integration, or business intelligence modernization.


• Experience leveraging machine learning, generative AI, or other advanced analytical techniques.

Please note that no relocation package is available for this role.

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Salary Range:

$128,400-$173,700 per year

We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Our 10x Mindset

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, prioritise 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: https://careers.arm.com/10x-mindset

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 [e-mail] so we can support you.

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 [e-mail]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

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.