Financial Analytics Specialist
Seatex Ltd., California, MO, United States
Education Level4 Year Degree## DescriptionSeatex Chemical / Key Polymer is seeking an analytically curious financial professional to help unlock operational and financial data from ERP systems and data lakes.This is a high-visibility, high-impact role. You will work directly and interactively with the CFO receiving direction, diving into our systems, surfacing insights, and building Power BI reporting that drives real decisions.**Job Responsibilities*** Work directly with the CFO to translate business questions into data queries, analyses, and Power BI visualizations* Extract, clean, and synthesize costing and financial data from multiple ERP systems and a data lake — often on an ad hoc, interactive basis* Build and maintain dynamic Power BI dashboards and reports that allow the CFO and leadership to slice and dice cost data by product, customer, margin, region, and other dimensions* Identify data gaps, inconsistencies, and opportunities to improve the quality and accessibility of 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|
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* 2–3+ years of hands-on Power BI experience (DAX, data modeling, report design) * 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 or equivalent data extraction ability * 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 | **Nice to Have**
* 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 |**Technical Skills and Mindset*** 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, not a problem* 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
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* 2–3+ years of hands-on Power BI experience (DAX, data modeling, report design) * 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 or equivalent data extraction ability * 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 | **Nice to Have**
* 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 |**Technical Skills and Mindset*** 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, not a problem* 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
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