Senior Developer, Analytics

Description

Build the data layer that drives how manufacturing decisions get made.

At Pro Ampac, we’re evolving how data powers the business. This isn’t a reporting role sitting on the sidelines. This is about building the backbone of enterprise analytics in a complex, fast-moving manufacturing environment.

If you’re a developer who likes solving real business problems, working with modern data platforms, and seeing your work influence decisions at the executive level, keep reading.

You’ll lead development of enterprise analytics focused on manufacturing, costing, and margin performance. You’re building the systems that explain where money is made, where it’s lost, and what to do about it.

• Design and build manufacturing costing and margin analytics
• Develop executive and operational reporting in Power BI that people actually use
• Engineer scalable data solutions using Microsoft Fabric / Synapse, SQL, and Delta Lake
• Build and maintain ETL pipelines across ERP and enterprise systems
• Apply Python / PySpark to automate, scale, and optimize data workflows
• Establish governed, repeatable data models aligned with financial controls
• Partner directly with Finance, Cost Accounting, Operations, and Leadership to translate business problems into data solutions

• You’re not just building dashboards. You’re shaping enterprise data architecture
• You’ll work on high-visibility problems tied to revenue, cost, and operational performance
• You’ll help define how analytics is done going forward, not just maintain what exists
• You’ll operate in a change environment, where modernization is happening now, not someday

• 8+ years in analytics, data engineering, or BI development
• Proven experience with manufacturing cost or financial analytics
• Advanced skills in:
  • Power BI (DAX, modeling, performance tuning)
  • SQL (complex querying, optimization)
  • ETL design and development
  • Microsoft Fabric / Synapse
  • Python / Py Spark
• Strong understanding of data governance, controls, and scalable design
• Ability to work directly with business stakeholders and translate ambiguity into structure

• Power BI
• Microsoft Fabric / Synapse
• SQL / Delta Lake
• Python / Py Spark
• ERP-integrated data environments

In manufacturing, data isn’t abstract. It impacts pricing, margin, production decisions, and customer outcomes.

When this role is done well, leaders move faster, make better decisions, and drive real financial results. This is a builder role. If you want ownership, visibility, and the chance to modernize how a company uses data at scale, this is it.