Lead Business Intelligence Analyst, Divergent Technologies

• The ideal candidate is self-motivated, independent, detail-oriented, hands-on, and able to respond quickly in a fast-moving environment
• Ability to lawfully access information and technology that is subject to US export controls
• Bachelor’s degree in a related field such as Business Analytics, Data Science, Economics, Management Information Systems, Computer Science, or Math
• 7+ years of experience in business intelligence or data analysis roles (advanced degrees can count towards years of experience)
• Demonstrated ability with BI tools such as Tableau, Power BI, and Looker
• Demonstrated ability with use of SQL and advanced functionality of MS Excel
• Demonstrated experience using Python, Java, Ruby, or other similar programming languages
• Strong understanding of data warehousing, ETL processes, and data modeling
• Solid interpersonal and communication skills, a motivated self-starter who meets deadlines and works well in cross-functional teams
• Ability to translate technical concepts to non-technical audiences for stakeholders internal and external to the organization
• Capability and desire to gather business requirements from stakeholders and take a project from initial concept to finished product providing value to the company

Desirable

• We are seeking a talented and experienced Lead Business Intelligence Analyst to join our team
• In this role, you will be responsible for spearheading the development and implementation of strategic business intelligence initiatives that drive data-driven decision-making across the organization
• You will be responsible for analyzing data about Divergent’s current and future customer landscapes, developing, and maintaining reports and tools that provide informed recommendations to drive smart business decision-making, creating robust and reliable data architecture, and implementing new processes that dramatically improve departments’ functional efficiencies
• You will work cross-functionally with Business Development, Program Management, Supply Chain, Planning, Engineering, Manufacturing, and Quality professionals to lead initiatives to address Planning, Programs, Production, and Quality performance to meet enterprise established KPIs, 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 to create synergies within organizations
• This role will report to the Business Intelligence Lead
• We value leadership skills and those who conduct all activities with the highest of integrity
• Able to 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
• Manage BI projects from inception to completion, including scope definition, resource allocation, timeline management, delivery, ongoing maintenance, and reporting to executives
• Construct visually intuitive analytical reports that effectively synthesize large datasets and deliver outputs that are immediately actionable to drive quantifiable improvements
• Develop leading and trailing metrics and corresponding dashboards for the Program Management, Production, and Quality organizations, effectively visualizing the real-time health of its associated operations
• Develop and maintain data models that support complex simulations and predictive analytics. Utilize data modeling techniques to design efficient data structures and schemas for BI applications
• Create, maintain, and deliver work instructions and training material to stakeholders and users of tools and dashboards, and assist in implementing improvements overtime
• Collaborate with the Software Team, Data Engineers, and IT to oversee the development of sustainable and scalable data architecture, ETL processes, and data warehousing solutions
• 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 business intelligence