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Jobbydoo

Sales Data Scientist

Munich
  • Neu
  • Veröffentlicht am 02.12.2024
  • Festanstellung

Key responsibilities/What you do The Data Scientistwill be part of Global Markets Sales support direction and act asglobal steering analyst with the responsibility to codesign,implement and maintain new automatic tools, data analyse and datascience modelling by B-Partners and all sales dashboards. Thisperson must have strong experience using a variety of data miningand analysis methods and tools, building and implementing models.The role will collaborate closely with other global functions andinternational BUs within Allianz Partners, like global Underwriter,Operation and Finance departments. - Develop and maintain anautomatic advance tool by BPartner on the main Finance/Markets KPIs- Analyse and present data ensuring the completeness, accuracy, andappropriateness of insurance data used in order to optimizecustomer experience, revenue and profitability as well as otherother business outcomes. - Contribute to innovation and efficiencyacross the Markets developing advanced and automatic support forall the PPT presentations and excel reports in place. - Drive thecollection of new data and the refinement of existing data sources- Mines and analyzes partner data improving customer segmentationmethodologies. - Works collaboratively with global underwriters,finance, operation and network teams etc. - Contribute to drivesales performance around the globe. Key requirements/What you bring- Bachelor's degree in Statistics, Analytics - Knowledge of avariety of machine learning techniques (clustering, decision treelearning, artificial neural networks, etc.) and their real worldadvantages/drawbacks. - Experience using statistical computerlanguages and packages to manipulate data and draw insights fromlarge data sets. - Proficiency with one or more businessintelligence tools - Expert-level proficiency with Microsoft Officesuite - very strong expertise in Power BI - GLM or data sciencemodelling experiences - Proven experience in Large data managementand analyse - Fluent in English - Insurance and assistancetechnical knwoledge would be a plus - Sales steering experiences -Strong communication skills to non-technical audience - Highlycollaborative, able to lead both with and without authority in amatrix structure in a global environment. - Preferrably end ofstudy internship - Duration : minimum 6months Benefits/What weoffer Our employees play an integral part in our success as abusiness. We appreciate that each of our employees are unique andhave unique needs, ambitions and we enjoy being a part of theirjourney. We are there to empower and encourage you with yourpersonal and professional development ensuring  that you takecontrol by offering a large variety of courses and targeteddevelopment programs. All that in a global environment whereinternational mobility and career progression are encouraged.Caring for your health and wellbeing is key priority for us. Thisis why we build Work Well programs to providing you with peace ofmind and give the flexibility in planning and arranging for abetter work-life balance. 58400 | Sales & Distribution |Professional | Non-Executive | Allianz Partners | Full-Time |Permanent Allianz Group is one of the most trusted insurance andasset management companies in the world. Caring for our employees,their ambitions, dreams and challenges, is what makes us a uniqueemployer. Together we can build an environment where everyone feelsempowered and has the confidence to explore, to grow and to shape abetter future for our customers and the world around us. We atAllianz believe in a diverse and inclusive workforce and are proudto be an equal opportunity employer. We encourage you to bring yourwhole self to work, no matter where you are from, what you looklike, who you love or what you believe in. We therefore welcomeapplications regardless of ethnicity or cultural background, age,gender, nationality, religion, disability or sexual orientation.Great to have you on board. Let's care for tomorrow.

Standort

Jobbydoo, Munich