Staff Business Intelligence Analyst (Finance)

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Purpose We are  seeking  a talented and experienced   Staff  Business Intelligence Analyst  ( Finance )  to join our team. In this role, you will  be responsible for  spearheading the development and implementation  of systems and analytics that allow us to   measure   our financial metrics  more  effectively .   Success in this role will be  measured  by   your ability to  scope, build, and  improve  the company’s Cost of Goods Sold (COGS) and  other  finance  processes and  analytics .   You will analyze business and technical problems , create technical frameworks, and influence business processes to  further  increase  the  robustness and analytical potential  of cost data .  In addition, as part of the Data Team, you will be involved with  reporting, analyzing, and ensuring  accurate   data is available to the  company ’s decision-makers.    You will work cross-functionally with  Software Development, Enterprise Applications ,  Finance ,  Business Development, Program Management,  Production,  Supply Chain, Planning, Engineering, and Quality professionals, provide strategic guidance on process improvement initiatives that support the achievement of strategic objectives defined in the company’s Annual Operating Plans, promote speed of innovations and operational excellence, and develop strong business strateg ies .  This role will report to the   Director of Data .   The ideal candidate is self-motivated,  independent,  detail-oriented, hands-on, and able to respond quickly in a fast-moving environment. We value leadership skills and those who conduct all activities with the highest of integrity.   The Role Scope,  deliver , and  maintain  robust, scalable, and secure  analyses   to enhance  reporting  on   financial  metrics , owning end-to-end development and adoption .   Collaborate  cross-functionally   to  deliver  the sustainable   and   scalable  solu tion  architecture s .   Review  business processes and recommend thoughtful changes that allow for more robust data collection  and analytics  leading to  deeper company-wide understanding of  manufacturing costs.   Participate in regular cross-functional internal review s  with team leaders to ensure that program deliverables and milestones are well understood and schedules support customer requirement s .   Stay current with industry trends, emerging technologies, and best practices in  data analytics and  COGS .   Q uickly develop a holistic understanding of the entire DAPS business enterprise and its current workflows and systems, primarily where sales, demand planning, operations planning, and program management intersects with manufacturing, production, and quality.   Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls.  B achelor’s degree in a  related  field  such as   Finance,  Accounting, Data Science,  or  Economics .   6 + years of experience  supporting data analytics ,  cost modeling,  business transformation,  and finance functions .   Deep understanding of cost accounting and financial structures, including Chart of Accounts (COA), General Ledger (GL), cost elements, and their linkage to manufacturing COGS , inventory,  and financial reporting.     Experience with overhead allocation methods , costing systems ( i.e.  standard costing, activity-based costing )  and burden rate calculations.   Experience with aggregating product cost through BOMs and routing structures.   Experience in manufacturing environments, with a strong understanding of BOM (Bill of Materials), routing, work orders, and production processes.   Demonstrated  experience o