Senior Finance Data Analyst

Arm Holdings

Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CA
Salary: $146,880–$198,720 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $173k

$118k most similar roles pay here $211k

This role pays more than 60% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $173k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Arm Holdings

Arm Holdings plc is a leading British semiconductor and software design firm, established in 1990 and recognized for developing energy-efficient processor architectures that power nearly all smartphones and a vast range of IoT and computing devices.

Arm Holdings currently has 40 open roles on FindRole.

Listed pay typically runs $184,500–$249,600 across 40 roles with salary data.

Most-posted roles

View all roles at Arm Holdings

At a glance

TL;DR · Senior Finance Data Analyst

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As a Senior Data Engineer in FP&A, you will join the Enterprise Data & Insights (EDI) team to develop and maintain the FP&A Enterprise Data Platform (EDP), focusing on creating high-quality data products that enhance decision-making. Your daily tasks include building reusable datasets and semantic layers for consistent reporting, supporting new users by improving platform accessibility, and developing data quality monitoring frameworks. You will work closely with Data Engineers and business partners to ensure data pipelines meet analytical needs and translate complex business requirements into clear data models and metrics. Essential skills include proficiency in SQL, Python (Pandas, PySpark), Databricks, and experience with data engineering concepts such as pipelines and orchestration. This role requires strong social skills for collaboration across non-technical teams and familiarity with FP&A processes and financial statements.

Skills

SQL Python Pandas PySpark Databricks Power BI Tableau Data pipelines Orchestration Version control Data quality frameworks Streamlit Dash

What you'll do

Build and maintain reusable datasets and semantic layers for consistent reporting.
Develop data quality monitoring frameworks to ensure high-quality analytics.
Convert business needs into clear, well-structured data models and metrics.
Work with Data Engineers to design data pipelines meeting analytical requirements.
Support new users in onboarding to the data platform, enhancing accessibility.

What we're looking for

Strong proficiency in SQL, Python (Pandas, PySpark), and Databricks.
Experience building dashboards using tools like Power BI or Tableau.
Deep understanding of data engineering concepts including pipelines and orchestration.
Ability to develop and maintain data quality monitoring frameworks.
Translate business requirements into clear, well-structured analytical solutions.
Collaborative skills for working closely with Data Engineers and non-technical partners.

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