Staff Business Intelligence Analyst (Finance)

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 strategies. 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 solution architectures.
• 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 reviews with team leaders to ensure that program deliverables and milestones are well understood and schedules support customer requirements.
• Stay current with industry trends, emerging technologies, and best practices in data analytics and COGS.
• Quickly 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.
• Bachelor’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 of application development using Python and SQL, or other similar programming languages.
• Experience working with ERP systems such as Oracle Fusion, SAP, or similar enterprise platforms.
• Solid interpersonal and communication skills, a motivated self-starter who can scope projects, meet deadlines, and work well leading cross-functional teams.

Preferred Qualifications

• Demonstrated experience in a start-up, consulting, finance, or similar high-growth, fast-paced, rapidly changing environment.
• Experience interfacing with manufacturing and production stakeholders to understand system designs and the associated constraints.
• Experience building dashboards and reports using tools such as Power BI, Tableau, or similar.
• Knowledge of cloud data platforms (Azure, Snowflake, Fabric, etc.).
• Experience working across multiple systems (i.e. ERP, MES, PLM, data platforms) and integrating data for analysis.

Work Environment

• Hybrid