The Analytics Operations Team: This team formalizes and automates established analytical processes, ensuring the long-term stability and scalability of the tools and algorithms you help to develop.
Develop and implement a centralized suite of analytical tools, models, and dashboards to empower a team of performance managers with data-driven insights.
Conduct rapid, high impact data analysis on complex business questions, translating C-suite and senior leadership inquiries into clear analytical hypotheses and delivering initial insights.
Lead the initial exploratory analysis for AI modelling projects, identifying key features and business mechanics to strategically guide Data Scientists and inform the development of robust machine learning solutions.
Partner with data scientists and specialist functions to transform initial analyses into robust, automated reports and tools for business-wide adoption.
Manage and enhance a portfolio of key analytical tools, which are used to generate critical data such as KPIs, benchmarks, and targets for use across various business functions.
Requirements
powerbi
dax
microsoft 365
excel
power query
business acumen
PowerBI: Building reports essential, ideally with knowledge and use of DAX
Resilience & Adaptability: You thrive in a dynamic, fast-paced environment and are comfortable with a certain degree of ambiguity. You can pivot quickly between high-level strategic tasks and detailed, hands-on work.
Microsoft 365: Advanced user, especially Excel, and ideally with use of Power Query
Communication & Storytelling: The ability to translate complex data and analytical findings into clear, concise, and compelling narratives.
Intellectual Humility: The ability to provide an initial, rapid analysis with the understanding that more detailed investigation may be needed.
Proactive & Strategic Mindset: You're a self-starter who doesn't wait for questions. You're able to anticipate business needs, and identify analytical opportunities.
Business Acumen: A deep curiosity and understanding of business drivers, financial models, and operational processes.