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# Senior Data Analyst

- **Company:** ARSENAULT INC
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloud Computing, Data Structures, Data Visualization, Python (Programming Language), NumPy, SQL Databases, Tableau (Software), Data Processing, Pandas, Pyspark, Scikit Learn, Information Technology, Data Analytics
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-analyst-san-diego-ca--8a67be78-6cd7-4dff-a650-643b5184f97d

## About the Role

Data Analysis, Cloud Computing, Internet of Things, Operational Improvement, Business Development, Process Improvement, SLICE (Simulation Language with Integrated Circuit Emphasis), Data Analysis, Quantitative Analysis, Concrete, * 4+ years experience as a data analyst, data engineer, or related role

 * BA / MS or equivalent coursework in quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
 * Experience with data manipulation and processing, preferably in SQL or Python (e.g., using PySpark or Pandas)
 * Experience building statistical and other analytical models, preferably in Python (e.g., using scikit-learn, NumPy, etc.)
 * Experience with data visualization, preferably in Tableau

## Description

The Senior Data Analyst will be a core technical contributor to our Data Analytics team with deep expertise in querying, structuring, and visualizing data to help answer pressing business questions. The Senior Data Analyst will work closely with cross-functional leaders, engineers, and product managers to translate business, product and technical questions into concrete quantitative analysis, and iterate on the output with stakeholders.
In this role, you will work on:

 * Leveraging your language of choice (e.g., SQL, Python) to shape and structure data sets for analysis
 * Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing sensor temperatures to spot unhealthy devices)
 * Perform a variety of exploratory analyses that help us understand the health of our products and identify opportunities for improvement and optimization
 * Meeting with technical and non-technical stakeholders to understand data structures and business priorities
 * Creating dashboards and other summary visualizations to support decision-making from operational and leadership teams
 * Champion, role model, and embed Arsenaults cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices, At Arsenault, we welcome everyone regardless of their background, race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, etc. We depend on the unique approaches of our team members to help us solve complex problems. We are committed to increasing diversity across our team and ensuring that Arsenault is a place where people from all backgrounds can make an impact.