Business Intelligence Analyst

KBI Biopharma•Durham, NC

About The Position

At KBI Biopharma, we are advancing science and accelerating breakthroughs. As a global leader in biopharmaceutical development and manufacturing, we empower life science companies to bring new medicines and vaccines to the world faster. Explore your potential at KBI, where innovation meets impact. Position Summary: The Business Intelligence Analyst is a member of the Data & Analytics team and supports Finance, Supply Chain, Manufacturing, Operational Excellence, & Information Technology teams to standardize business processes and workflow automations using advanced technical capabilities such as SQL and Python. Additionally, the Business Intelligence Analyst will support these teams by translating Data into insightful Reporting and Data Visualizations using Power BI and creating/enhancing reports for SAP S4 HANA utilizing SAP Analytics Cloud (SAC). In this role, you will liaise between stakeholders, developers, and end users while acting as an information "quarterback”, mapping data flows across multiple systems, supporting accurate, real-time information availability, evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions that support the business needs. An intact understanding of supply chain and manufacturing business processes is crucial for success in this role, as you will be responsible for translating business needs to technical development teams for execution.

Requirements

Bachelor’s degree in finance, supply chain, data analytics, economics, mathematics, or related field.
5+ years of experience in finance data analysis, supply chain data analysis, data analytics, or related field.
Experience using SAP/SAC; Modeling and Reporting
2-4 years of experience working directly with supply chain and/or finance (Operations Finance, FP&A, Tax & Treasury, and Controllership).
Understanding transactions that occur within the end-to-end supply chain process.
Proven track record of delivering data driven solutions with a customer-first mindset.
Experience building relationships and partnering with customers and stakeholders, leading the delivery of impactful, data driven solutions to real business problems.
Experience successfully driving end-to-end delivery of data and intelligence solutions, including a wide variety of mechanisms, e.g. dashboards, APIs, real time alerts, etc.
Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
Database experience: SQL, Python, AWS Data Lake
Power BI Report building experience

Nice To Haves

Master’s degree in business analytics, data analytics, or data science is a plus.
Experience with biopharma companies is a plus.

Responsibilities

Liaise between business partners, stakeholders, builders, end users, and IT partners to expedite the creation and delivery of custom data solutions.
Own the Data and Analytic Support model throughout the project life cycle, including Requirements Scoping, Development & Implementation, Testing & Validation, Deployment & Delivery, and Monitoring & Sustainability.
Partner with cross-functional teams and various stakeholders, including analytics, design/user experience, engineering, and user enablement to inform the product vision, strategy, features, and prioritization.
Collaborate on creating proactive reports to eliminate reactive firefighting.
Develop insights using data-based approaches by analyzing the trends in data from site to site or year over year trends.
Continuously research and look for areas of efficiency, process improvement, and gleaning insights from data utilizing technology, automation and AI, and regularly socialize findings and ideas at Data & Analytics and IT Forums.
Prepare users by conducting training, troubleshoot and resolve user issues, provide information as needed to maximize use of systems.
Work in an Agile environment and continuously reviews the business needs, refines priorities, outlines milestones / deliverables, and identifies opportunities / risks.
Collaborate with global partners to create, implement, and maintain policies, methods, & governance to standardize AI, machine learning, data quality, data sourcing, data ETL, report structure, and report storage.
Embed and integrate Enterprise Resource Planning (ERP) into automated reporting to improve efficiency and accuracy.
Partner with IT Teams to build out Data Lake reporting, governance and controls as required by customers and business partners.
Support KPI generation, measurement, and monitoring.
Effectively communicate data insights to cross-functional team members and management.
As needed, design, develop, and automate reports in SAC .