Financial Analytics Manager

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.

• 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

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

• 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

• 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.