Are you seeking an environment where you can learn new skills, work with scientists and help influence the future of finance? Our team combines machine learning, forecasting, economics and Large Language Models to help solve problems within finance and help provide automation where problems become ambiguous. We spend our days diving into data and working with external parters to automate process to help our financial partners better perform their roles.

Here in WW Stores Strategic Finance, our business intelligence engineers help perform statistical analysis, build data pipelines, provide support to scientists and engineers and design dashboards that are viewed by VP leadership within finance. This role has high visibility within the team and can provide many different challenges to solve, which helps team members grow their own scope and their skillsets. Our team focused on supporting three pillars of anomaly detection, forecasting and document understanding to support the different areas of finance such as financial planning, month end close, and controllership.

Key job responsibilities
* Defining architecture, design and implementation of next generation BI products/solutions and data-intensive technology solutions
* Collaborating with data scientists/ engineers, others BIEs and business stakeholders to surface high quality business insights and analytics
* Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.
* Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.
* Performing data and statistical analysis on oddities in data to help provide high data quality within our modeling ecosystems