Data Analytics Manager

Astro Pak is the nation's leading precision cleaning and passivation contractor specializing in on-site cleaning of high purity gas and fluid systems, as well as precision cleaning of components and hardware at the company’s Cleanroom facilities. Astro Pak provides services to over 15 sectors including: Data Centers, Biotechnology, Pharmaceutical, Aerospace, Semiconductor, and other selected Industrial markets. The company, founded in 1959, has performed on-site precision chemical cleaning in every State of the Union as well as several projects in Asia, continental Europe, England, Ireland and Mexico.

Astro Pak is seeking a Data & Analytics Manager to design, build, and optimize the data platforms and reporting systems that power business decisions across the organization. This role will play a critical part in transforming how Astro Pak captures, analyzes, and leverages data to support our operations, commercial, and corporate teams.

The Data & Analytics Manager will report directly to our Chief Financial Offer & work a hybrid schedule out of our Corporate Office in Costa Mesa, CA.

What You’ll Do

• Develop and maintain data models, reporting systems, dashboards, and performance metrics to support key business decisions
• Create actionable insights and provide strategic analysis to senior leadership and board members
• Design and manage data pipelines, architecture, and data sets across multiple systems
• Utilize visualization tools (Power BI, Tableau, etc.) to make complex data understandable and impactful
• Support automation and digitization initiatives to streamline manual business processes.
• Integrate new data tools and systems with Astro Pak’s ERP and CRM platforms
• Explore and implement opportunities to leverage AI and machine learning for business growth
• Collaborate cross-functionally to develop a data-driven culture and ensure alignment on data priorities
• Must be able to comply with the U.S. Export Control Laws
  
  

What You Bring

• Bachelor’s degree required (quantitative business or STEM preferred)
• 4 years of experience in data analytics, business intelligence, or data engineering in a corporate or consulting environment
• Advanced proficiency in Microsoft Excel and data visualization tools such as Power BI or Tableau
• Strong technical skills in SQL, Python, and data integration
• Experience with Azure Data Factory, Azure SQL, Azure DevOps, and version control systems (e.g., Git)
• Strong business acumen and ability to translate data into clear insights for decision-making
• Excellent communication, collaboration, and problem-solving skills
  
  

Preferred Experience

• Experience with ERP/CRM or inventory management systems
• Familiarity with modern data stack tools (dbt, Snowflake, Databricks)
• Background in MLOps or AI platform implementation (e.g., OpenAI, Azure AI)
• Experience with project management or agile methodologies
  
  

Important Note: We are unable to provide visa sponsorship for this position.

Why Join Astro Pak

At Astro Pak, we’re committed to continuous improvement and innovation. You’ll have the opportunity to work with a high-performing leadership team and directly influence how we leverage data to shape the future of our business.

Salary & Benefits

• The pay for this position has a base salary of $150,000-$175,000. The actual pay will carefully consider a wide range of factors, including your skills, qualifications, experience and location.
• In addition to highly employer-subsidized medical, dental, and vision plans, Astro Pak offers competitive retirement savings and 401k plans, flexible spending, family leave, training and paid time off.
  
  

Astro Pak Corporation is an equal opportunity employer and does not discriminate against persons because of age, race, color, creed, religion, disability, gender, ethnic or national origin, or veteran status. Astro Pak prohibits discrimination against individuals with disabilities and will reasonably accommodate applicants with a disability, upon request, and will also ensure reasonable accommodation for employees with a disability.