Strategically collaborate with the business to create and implement solutions and sustainable improvements
Lead projects creating solutions that drive process improvement and cost savings, with full ownership of identifying, prioritizing, and delivering high-impact initiatives
Act as a key point of contact for cross-functional stakeholders, providing clear, concise, and impactful communication of insights, risks, and recommendations
Lead, coach, and develop more junior analysts, including mentoring, workload prioritization, and talent development
Drive the organization to move from strategy to action with analytics and data visualization techniques that help businesses and senior leaders make informed decisions
Enhance and optimize reporting solutions from data architecture, development, visualization, to end-user training
Collect, analyze, and interpret Operations metrics to identify potential projects/solutions
Build scalable analytical workflows using Python and SQL; prepare and engineer data for advanced modeling
Develop and standardize work processes, support routing times for production
Liaise with Operations staff and other functional areas to meet and exceed project objectives
Ensure robust documentation and change control practices for the team

Minimum bachelor's degree in data science, business, or a related field
Minimum 2 years of related experience
Advanced digital literacy in Word, Excel, SharePoint, Visio, Power Point
Strong expertise in programming languages (Python, SQL, DAX, M, etc)
Proficiency with Microsoft Power Platform (Power BI, Power Automate, Power Apps)
Strong expertise in Agile/Scrum methodology
Significant experience in finance or working within a data-driven environment, preferably 5+ years
Exceptional interpersonal skills with outstanding verbal and written communication
Demonstrate strong problem-solving and analytical skills
Proficiency with the English language.

Data Science Manager

Key skills