Customer Experience Data Scientist - P&C Retail Insurance Member at Allianz Global Corporate & Specialty SE

Ataşehir, Istanbul, Turkey -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Customer Data Analytics, Business Intelligence, Data Modeling, ETL Solutions, SQL, Data Visualization, KPI Strategies, Customer Journey Mapping, Python, R, SAS, KNIME, Analytical Mindset, Collaboration, Communication Skills, Problem Solving

Industry

Financial Services

Description

How can you make an impact? Bachelor’s degree in Engineering, Mathematics, Statistics, or related fields Minimum 2 years of experience in Customer Data Analytics, Business Intelligence, Reporting, Data Modeling, and ETL solutions/projects Proficient in relational database concepts and languages such as SQL, TSQL, PL/SQL Experience or knowledge in Big Data and Open Source technologies is a plus Strong analytical mindset with the ability to tackle ambiguous problems, identify relevant data, make assumptions, and deliver actionable insights Skilled in defining KPI strategies, growth opportunities, time series analysis, and data visualization Experience with persona analysis and customer journey mapping methodologies Proficient in at least one data modeling or analytics tool such as SAS, KNIME,PBI, Python, or R Solid command of Microsoft Office applications Excellent verbal and written communication skills, able to present data-driven information clearly and professionally Proven ability to collaborate effectively with cross-functional teams and stakeholders Self-motivated, proactive, with a creative and problem-solving approach, open to innovation and continuous learning Fluent in English What do we expect you to bring? Act as an Analytics Translator by converting complex data into actionable insights accessible to all stakeholders Collaborate with cross-functional teams to define success metrics, track and quantify data, and develop a shared understanding of KPIs Provide ad-hoc analysis and build automated dashboards to offer clear visibility into business performance Develop deep analytical insights into the drivers of product growth and identify areas for improvement Lead the design, implementation, and optimization of loyalty programs, analyzing user behavior through customer segmentation, RFM, and cohort analyses Monitor loyalty campaign performance, design A/B tests, and generate valuable insights for continuous improvement Prepare regular dashboards and reports using data visualization tools for various business units Build predictive models such as churn analysis, CLV estimation, and user lifecycle forecasting Partner closely with CX and Marketing teams to create personalized, data-driven campaigns Aggregate data from multiple sources to create comprehensive dashboards and presentations Use customer insights and analytics to propose and implement strategic improvements Analyze customer feedback, identify key trends and outliers, and derive actionable insights to enhance customer experience Recommend data-driven changes to support strategic decision making and business growth Stay updated on the latest technology trends and contribute to AI projects using Python and R Support the development of communication strategies focused on acquiring new customers and retaining existing ones Conduct market and sales forecasting studies and prepare detailed forecast analyses What we will offer you? Company: Working in Green certificated & pet friendly Allianz Tower / Allianz Kampüs with modern work spaces, gym & social areas. Working in agile, flexible, digital and social culture Flexible working hours Working 40 hours a week Hybrid working Flex summer (July – August) Part time working Benefits: Yearly bonus Home expense payment Home office payment (monthly) Transportation Life insurance Employer sponsored pension & Family included health insurance Special Allowances (Marriage, newborn etc.) Meal Allowance (Card/monthly) Leave Rights: School Report Day (Half Day) & First Day of school (Half Day) Allianz day off Birthday day off Paternity Leave – 10 days Marriage Leave – 5 days After 4 years of work, having extra one day annual leave each year (up to 26 days) 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. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. And there is much more! Do the items above define you? Do you believe you can passionately and successfully carry out the tasks involved in the job description, that is the perfect match for you? Then, come and apply for the “Customer Experience Data Scientist - P&C Retail Insurance Member” position. While you await news from us, we would like to share a playlist with you to help you enjoy your time. https://open.spotify.com/playlist/1Zx2if289cAz4WClmUvsL5?si=b48f678f66424584

Responsibilities

The role involves acting as an Analytics Translator to convert complex data into actionable insights and collaborating with cross-functional teams to define success metrics and develop shared understanding of KPIs. Additionally, the position requires building predictive models and analyzing customer feedback to enhance customer experience.