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Key job responsibilities
• Provide thought leadership in global business deep dives across a variety of key performance indicators.
• Proactively make and justify recommendations based on statistical techniques, deep familiarity with the customer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry.
• Automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI tool improvements.
• Own alignment and standardization of analytical initiatives across the global partner teams.
• Define, develop, and build business critical metrics and reports across all business levers, key performance indicators, and financials.
• Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.
• Drive efforts with business leaders, BI leaders and executive management across the partner organization.
• Stay up to speed with the latest technology/techniques in Generative AI with a view to use it to raise the bar on reporting across the APO.
• Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.
• Translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities.A day in the life
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Knowledge of data warehousing and data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
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