CRM Analyst at Allianz Global Corporate & Specialty SE

, , Greece -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Predictive Modeling, Data Visualization, Data Mining, Database Management, SQL, Analytical Skills, Presentation Skills, BI Tools, Excel, PowerPoint, Cluster Analysis, Logistic Regression, Decision Trees, Cross-Functional Interaction, KPI Monitoring

Industry

Financial Services

Description

Job Purpose We are looking for CRM Analyst who will interact cross-functionally to design and establish data sets required to conduct statistical analysis of customer data, in a structured manner. This person will also build and maintain predictive models and perform efficient data visualization, to present analytics and insights to organization. The role reports to the CRM & Analytics Supervisor. What you will do Provide advanced statistical analysis to support the acquisition, retention, cross sell and up sell activities Support departmental strategy by building and maintaining predictive models (Decision trees, Logistic regression etc.) as well as unsupervised models (Cluster Analysis, etc.) Effectively run campaigns through list extraction and results evaluation Develop presentations and present analytics and insights to organization Identify and execute appropriate analytic procedures to resolve problems (Data mining through IBM SPSS Modeler software, SAS, R or another tool) Analyse CRM system data to measure and coordinate marketing activities Interact cross-functionally with a wide variety of people and teams, especially IT department to design, check and establish the required datasets needed for analysis Monitor KPIs and suppor project needs in a timely and efficient manner What you bring Bachelor’s degree in Statistics, Mathematics or closely related field; Master’s degree is an asset 2-3 years of working experience in a similar role High technical fluency in Greek and English (spoken and written) Excellent knowledge and experience with statistical and data mining tools (ideally IBM SPSS Modeler) Database Management skills (knowledge of SQL) Advanced IT Literacy (Excel & PowerPoint in Master level) Analytical skills and ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using statistical modeling techniques Multi-tasking ability, flexibility, persistence, and patience in a fluid environment Effective presentation skills Programming experience with BI tools such as Qlik Sense or similar ones is an asset Experience in a similar role in the Financial Services Sector or the Insurance Sector is an asset What We Offer Competitive salary and benefits package Professional development and education Health and wellbeing programs Positive learning and growing environment #LI-VK1 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.

Responsibilities

The CRM Analyst will conduct statistical analysis of customer data and build predictive models to support marketing activities. They will also present analytics and insights to the organization and interact with various teams to establish required datasets.