What you do

 

Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of organization.

What you bring

 

Strong analytical and planning skills; Good communication and presentation skills; Excellent problem-solving skills; Bachelor’s degree in statistics, applied mathematics, or related discipline; Proficiency with data mining, mathematics, and statistical analysis; Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Hadoop, MapReduce or other big data frameworks, Java) and statistical modeling (SAS, R, and Phyton); Experience with statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing and optimization algorithms; Comfort working in a dynamic, research-oriented group with several ongoing concurrent project

63775 | Data & Analytics | Professional | Non-Executive | Allianz Indonesia | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. We care for tomorrow.