Purpose of position
This is a challenging role that supports AMEA business functions and processes with applied analytics. Your role will be to investigate key business problems, discover insights and recommend improvement actions through data mining, statistical analysis and data visualization techniques. Next to that you will support other business functions and strategic projects with finding and understanding data, user training and coaching.
Areas of responsibility
1 - Data analysis: Support key AMEA business processes with applied analytics
- Identify what data is needed, available and relevant to the problem
- Design and develop strategic methods for data collection and analysis
- Integrate and prepare datasets; build and evaluate data models
- Explore and analyze data using statistical and visualization techniques
- Define and describe common business metrics and KPI's
- Summarize and present findings and recommendations to business users and stakeholders in understandable and relevant ways, both verbally and visually
- Document and publish analyses so that others may reproduce and learn from prior work
2 – Project support: Support key AMEA business strategies with analytics solutions
- Provide analytical and subject matter expertise for the development of analytics solutions needed to support main business strategies and initiatives
- Work with peers in Business Intelligence, Data Management and Data Science to develop and provide solutions
- Support the development of technical analytics solutions by communicating business requirements and providing subject matter expertise
- Build plans; ensure work progress; identify and report success measures
- Prepare and present progress reports and outcomes to stakeholders
3 - Training and development: training solutions for analytical tools and techniques
- Conduct or support training sessions and provide coaching to analysts in business functions and other key user groups in AMEA
To be successful in this role, you will need:
- Education: A Bachelor’s degree or equivalent in Statistics, Business Analytics, Actuarial Studies or similar discipline.
- Experience: 8 years practical, applied analytics experience in any industry
- Applied analytical skills, including statistical knowledge; data modeling and visualization using modern BI/Analytics tools
· Good communication skills, including the ability to tell compelling stories with data
· A good understanding of fundamental business principles and problems and the ability to constantly and independently ask questions, find answers, and learn
- Professional skills: project management; influencing & persuasion; judgement & decision making; leadership; planning & organizing.
- SAFe Agile certification is a plus
- Fluency in written and spoken English
