Senior Developer, Analytics (Hybrid)

ProAmpac Security Products Limited; Redmond (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

ProAmpac seeks a Senior Developer, Analytics to build the data layer that powers manufacturing decisions. You will lead analytics development across costing and margin, and deliver executive- and operations-facing Power BI reports to drive strategic insights.

You’ll engineer scalable data solutions with Microsoft Fabric/Synapse, SQL, PySpark, and Delta Lake, while integrating ERP data. This builder role emphasizes ownership, cross-functional impact, and modernization at scale.

Qualifications

• 8+ years in analytics, data engineering, or BI development.
• Experience with manufacturing costing or financial analytics.
• Strong ability to translate business problems into data solutions.

Responsibilities

• 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 with Finance, Cost Accounting, Operations, and Leadership to translate business problems into data solutions.

Skills

Power BI

SQL

ETL design

Python / PySpark

Microsoft Fabric / Synapse

Data governance

Tools

Delta Lake

ERP data environments

Job description

Senior Developer, Analytics (Hybrid to Redmond, WA or Rosemont, IL)

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

At ProAmpac, 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.

What You’ll Own

You’ll lead development of enterprise analytics focused on manufacturing, costing, and margin performance. Translation. 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

What Makes This Role Different

• 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

What You Bring

• 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 / PySpark
• Strong understanding of data governance, controls, and scalable design
• Ability to work directly with business stakeholders and translate ambiguity into structure

Tech Stack Snapshot

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

Why This Role Matters

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.