Financial Analytics Manager
Seatex, Granite Heights, WI, United States
About the Role
Seatex Chemical / Key Polymer is seeking an analytically curious financial professional who can unlock operational and financial data from ERP systems and data lakes — and turn it into structured, trusted, decision-ready information through world-class Power BI reporting.
This is a high-visibility, high-impact role. You will work directly and interactively with the CFO — receiving direction, diving into our systems, and building Power BI reporting infrastructure that drives real decisions. Power BI is not a tool you occasionally use here; it is the primary lens through which our leadership understands the business. You must be genuinely expert in it.
Responsibilities
Work directly with the CFO to translate business questions into structured data queries, analyses, and production‑grade Power BI reports — including designing the underlying data models, not just the visuals
Extract, clean, and synthesize costing and financial data from multiple ERP systems and a data lake — often on an ad hoc, interactive basis
Design, build, and maintain dynamic Power BI dashboards — including semantic data models, DAX measures, and report layouts — that allow the CFO and leadership to slice and dice cost data by product, customer, margin, region, and other dimensions with confidence in the underlying numbers
Identify data gaps, structural inconsistencies, and schema conflicts across source systems; design and document data models that create a single, reliable version of the truth for financial reporting
Develop a deep understanding of the company’s cost structure, product lines, and operational drivers so you can anticipate the next question before it’s asked
Communicate findings clearly — in conversation and in visuals — to non-technical stakeholders
Support broader finance initiatives as the company scales and systems mature
Qualifications
Required
3+ years of deep, hands‑on Power BI experience — specifically: building star‑schema data models from scratch, writing complex DAX measures (time intelligence, CALCULATE, iterators), and designing reports that non-technical executives can use independently. Drag‑and‑drop report builders need not apply.
Experience working within ERP systems to extract financial or operational data (Datacor experience is a plus, but not required — prior ERP familiarity of any kind is what matters)
Strong SQL skills — writing complex queries independently across multiple schemas, not just querying pre-built views. You understand how data is structured at the source, not just how to retrieve it.
A genuinely curious, analytical mindset — you ask “why” and “what else?”
Ability to receive loose, qualitative direction and translate it into precise analysis
Comfortable working in ambiguous, fast‑moving environments
Strong attention to detail with a bias for accuracy
Technical Skills
Approaches data the way a detective approaches a case — relentlessly, creatively, and with a healthy skepticism of the first answer
Is energized by a CFO saying “I need to understand our margins by customer segment, but the data isn’t clean” — not intimidated by it
Treats every messy dataset as a puzzle to be structured and solved — and knows that good data models prevent messy questions from ever arising again
Communicates proactively — raises flags early, offers alternatives, and doesn’t go dark when things get hard
Takes ownership. You’ll have a lot of autonomy. We need someone who runs with it
Preferred Skills
Experience in manufacturing, chemicals, or industrial companies
Familiarity with product costing, standard vs. actual cost analysis, or margin analytics
Exposure to data lake architectures (Azure, AWS, Databricks, etc.)
Experience working directly with C‑suite stakeholders
Background in finance, accounting, or industrial engineering
Knowledge of Python or R for supplementary analysis
Must Be Authorized to Work in the US (No Sponsorship)
Must be authorized to work in the US. No sponsorship.
#J-18808-Ljbffr
Seatex Chemical / Key Polymer is seeking an analytically curious financial professional who can unlock operational and financial data from ERP systems and data lakes — and turn it into structured, trusted, decision-ready information through world-class Power BI reporting.
This is a high-visibility, high-impact role. You will work directly and interactively with the CFO — receiving direction, diving into our systems, and building Power BI reporting infrastructure that drives real decisions. Power BI is not a tool you occasionally use here; it is the primary lens through which our leadership understands the business. You must be genuinely expert in it.
Responsibilities
Work directly with the CFO to translate business questions into structured data queries, analyses, and production‑grade Power BI reports — including designing the underlying data models, not just the visuals
Extract, clean, and synthesize costing and financial data from multiple ERP systems and a data lake — often on an ad hoc, interactive basis
Design, build, and maintain dynamic Power BI dashboards — including semantic data models, DAX measures, and report layouts — that allow the CFO and leadership to slice and dice cost data by product, customer, margin, region, and other dimensions with confidence in the underlying numbers
Identify data gaps, structural inconsistencies, and schema conflicts across source systems; design and document data models that create a single, reliable version of the truth for financial reporting
Develop a deep understanding of the company’s cost structure, product lines, and operational drivers so you can anticipate the next question before it’s asked
Communicate findings clearly — in conversation and in visuals — to non-technical stakeholders
Support broader finance initiatives as the company scales and systems mature
Qualifications
Required
3+ years of deep, hands‑on Power BI experience — specifically: building star‑schema data models from scratch, writing complex DAX measures (time intelligence, CALCULATE, iterators), and designing reports that non-technical executives can use independently. Drag‑and‑drop report builders need not apply.
Experience working within ERP systems to extract financial or operational data (Datacor experience is a plus, but not required — prior ERP familiarity of any kind is what matters)
Strong SQL skills — writing complex queries independently across multiple schemas, not just querying pre-built views. You understand how data is structured at the source, not just how to retrieve it.
A genuinely curious, analytical mindset — you ask “why” and “what else?”
Ability to receive loose, qualitative direction and translate it into precise analysis
Comfortable working in ambiguous, fast‑moving environments
Strong attention to detail with a bias for accuracy
Technical Skills
Approaches data the way a detective approaches a case — relentlessly, creatively, and with a healthy skepticism of the first answer
Is energized by a CFO saying “I need to understand our margins by customer segment, but the data isn’t clean” — not intimidated by it
Treats every messy dataset as a puzzle to be structured and solved — and knows that good data models prevent messy questions from ever arising again
Communicates proactively — raises flags early, offers alternatives, and doesn’t go dark when things get hard
Takes ownership. You’ll have a lot of autonomy. We need someone who runs with it
Preferred Skills
Experience in manufacturing, chemicals, or industrial companies
Familiarity with product costing, standard vs. actual cost analysis, or margin analytics
Exposure to data lake architectures (Azure, AWS, Databricks, etc.)
Experience working directly with C‑suite stakeholders
Background in finance, accounting, or industrial engineering
Knowledge of Python or R for supplementary analysis
Must Be Authorized to Work in the US (No Sponsorship)
Must be authorized to work in the US. No sponsorship.
#J-18808-Ljbffr