Business Analytics Lead, Operations and Finance Description The Business Analytics Lead, Operations, will report to the Chief Data & Analytics Officer and be responsible for delivering business priorities and through testing and measurement, Insights, and Advanced Analytics. The role will work in a highly matrixed manner with the business– i.e. the leaders of the Operations and Finance teams. This person will serve as the primary interface for delivering the Data & Analytics shared goals with these business units, contributing to delivering the budget, shared business priorities, and strategy. This leader is also expected to act as a key stakeholder and partner supporting Learning Agenda development, and the shaping of the Company’s data & AI strategies and technology roadmap. What You Have Bachelor’s degree in computer science, Economics, Information Systems, Statistics, Operations Research, Applied Math, or another related field or equivalent work experience MBA or Masters, Applied Data Analytics preferred but not required 7+ years of experience using analytics and statistical methods to deliver business value in Operations and customer lifecycle management, preferably with some time spent in subscription-based companies, or consulting 7+ years of experience managing the development of learning agendas and measurement 5+ years of experience in data science, and data analytics Expert experience with SQL, Python Experience with managing data scientists through development, deployment and operationalization of statistical models in a production environment Strong influencing and written/oral storytelling capability with proven experience working directly with business leaders A positive, collaborative attitude and hands-on style, someone used to work in a fast-paced environment The ability to evaluate processes and drive continuous improvement What You’ll Do Working closely with the business leaders and their reports in building data driven strategy, insight and recommendations in line with the Company’s business priorities Be D&A’s point leader working with the business for the creation of learning agendas, test and learn setups, performance measurement and the development of so-what conclusions The role will oversee a team of analyst direct reports, as well as be the guide to D&A’s data scientists, BI & data engineers, and PMO leaders through discovery, development, prototyping and ultimately scaling of successful initiatives Integrate data collection, data quality, and advanced analytics output into application Apply data mining techniques to uncover actionable business insights Establish, define the data governance created process and policies for your areas Ensure and improve data integrity, data accuracy, and data quality Oversee machine learning model development partnering with the data science team Partner with Technology teams, and D&A’s data engineering, data science, and business intelligence teams to build a scalable data infrastructure to support ai readiness Identify and utilize 3rd party data sources to enhance analytics Manage executive level presentations and strategy discussions on findings and recommendations Perform other duties as assigned
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Job Type
Full-time
Career Level
Mid Level