Professional in Quantitative Credit Risk Management

wherewework.gr εκμέρους της:

Technology & Software Employers in Greece
Ψάχνεις για θέση Αναλυτής Δεδομένων, Customer Segmentation & Cohort Analysis στην Ελλάδα; Είσαι στο σωστό μέρος.

Οι ρόλοι μηχανικής δεδομένων και αναλυτικής παρουσιάζουν ισχυρή και αυξανόμενη ζήτηση στον τεχνολογικό τομέα της Ελλάδας το 2026, με εταιρείες στη την Αθήνα να επενδύουν σε σύγχρονη υποδομή δεδομένων και αναλυτικές δυνατότητες. Χρηματοοικονομικές υπηρεσίες, e-commerce και εταιρείες τεχνολογίας είναι οι κύριοι εργοδότες.

Για να προχωρήσεις, απλά ανέβασε το βιογραφικό σου στο wherewework, και θα σε βοηθήσουμε να συνδεθείς με πραγματικές αγγελίες Αναλυτής Δεδομένων, Customer Segmentation & Cohort Analysis από πραγματικές εταιρείες, συμπεριλαμβανομένης της θέσης που βλέπεις τώρα.

Έτσι λειτουργεί:

• Ανέβασε το βιογραφικό σου μία φορά. Κάνε κλικ στο "Υποβολή" σε αυτό το παράθυρο.
• Σε αντιστοιχίζουμε με πραγματικές θέσεις Αναλυτής Δεδομένων, Customer Segmentation & Cohort Analysis που ταιριάζουν στην εμπειρία σου.
• Εσύ έχεις τον πλήρη έλεγχο. Πριν το βιογραφικό σου κοινοποιηθεί, θα σε ειδοποιήσουμε και θα ζητήσουμε την έγκρισή σου.
• Μόνο εγκεκριμένες αιτήσεις αποστέλλονται στους εργοδότες.

Για θέσεις Αναλυτής Δεδομένων, Customer Segmentation & Cohort Analysis στην Αθήνα, οι μισθοί κυμαίνονται συνήθως από 2,000 EUR έως 4,500 EUR μεικτά τον μήνα, με μέσο μεικτό μισθό περίπου 3,000 EUR. Εξειδίκευση σε Customer Segmentation & Cohort Analysis, μαζί με άπταιστα αγγλικά και ισχυρό portfolio ή GitHub προφίλ, είναι οι κυριότεροι παράγοντες μισθού.

Όσο είσαι εδώ, εξερεύνησε το wherewework για να ανακαλύψεις πώς είναι πραγματικά η εργασία στις κορυφαίες εταιρείες τεχνολογίας και λογισμικού στην Ελλάδα, μέσα από εμπειρίες συνεντεύξεων, αξιολογήσεις εργαζομένων και κοινοτική ανατροφοδότηση.

The Role:

We’re looking for an experienced Data Analyst to join our Data Science team and turn complex data into meaningful insights that drive smarter decisions. In this role, you’ll work with large and diverse datasets, uncover patterns and opportunities, and use advanced analytics to help solve real business challenges.

If you’re naturally curious, enjoy tackling complex problems, and are passionate about transforming data into actionable insights, this is an opportunity to make a real impact in a fast-paced, data-driven environment.

The main responsibilities of the position include:

• Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
• Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics.
• Support the evaluation and assessment of machine learning models through data analysis and performance reporting.
• Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value
• Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
• Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders
• Present insights, analysis results, and recommendations to both technical and non-technical audiences
• Ensure adherence to best practices in data quality, version control, and reproducible analytics

Main requirements:

• University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
• At least 3 years of experience in data science including hands on experience with Data Analysis
• Strong programming skills in Python, with hands-on experience using Pandas, NumPy, and other data analysis libraries.
• Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly
• Hands-on experience with data visualisation and BI tools, such as Power BI.
• Solid understanding of statistics and data mining techniques
• Experience working with relational and non-relational databases
• Basic knowledge of Machine Learning concepts and techniques, with an interest in applying them to real-world data problems.
• Strong analytical and problem-solving skills, with excellent attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment

Benefit from:

• Attractive remuneration package plus performance related reward
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

• Let’s Connect – Intro Chat with Talent Acquisition
• Deep Dive – First Interview with Your Future Team
• Bring It to Life – Role-Specific Take-Home Task
• Final Connection – Final Interview

All applications will be treated with strict confidentiality!

Let’s be unstoppable together!

Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com.

Role Overview

As a Statistical Analyst, reporting to Measurement Science Supervisor, you will be responsible for coordinating and performing activities in order to meet key deadlines while maintaining and ensuring quality of services. As Statistical Analyst works with large datasets, turning data into insight, the role requires attention to detail and great collaboration and communication skills.

Job Responsibilities

• Defines, validates & maintains sample for all deliverable services.
• Analyses data in order to achieve the optimal Market estimation.
• Monitors & evaluates Market Trends so as to ensure the quality of services.
• Masters the measures’ definitions and answers related data queries from local client-facing teams.
• Supports and evaluates new product development by executing various data simulations.
• Automation and optimization of existing processes.
• Utilizes client feedback to deploy continuous improvement.

Requirements

• A minimum of a Master’s degree (MSc) in Statistics, Econometrics, Operational Research or similar quantitative field of study
• Very good knowledge of one or more of the following: SAS, R or Python
• Excellent command of MS Office Suite
• Highly numerate with excellent problem solving skills, self-driven quick learner and genuine interest inattention to detail and quality.
• Previous working experience in a relevant role, preferably in FMCG sector would be considered an asset
• Excellent written and verbal skills in English alongside with excellent communication and interpersonal skills to converse effectively across the organization
• Ability to meet tight deadlines, multi-task efficiently and work under pressure
• Efficient in working both independently and as part of a team

Circana Behaviors

Beyond technical skills, experience, and role-specific attributes, these shared behaviors are fundamental to our culture and success. We seek individuals who consistently demonstrate and champion these behaviors in their daily work:

• Stay Curious: Being hungry to learn and grow, always asking the big questions.
• Seek Clarity: Embracing complexity to create clarity and inspire action.
• Own the Outcome: Being accountable for decisions and taking ownership of our choices.
• Center on the Client: Relentlessly adding value for our customers.
• Be a Challenger: Never complacent, always striving for continuous improvement.
• Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
• Commit to each other: Contributing to making Circana a great place to work for everyone.

Location:
This position can be located in the following area(s): Athens, Greece (Hybrid)

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title And Summary
Senior Specialist, Product Management - Fintech Scanner, Business Intelligence Innovate

Overview
The role will lead initiatives to support the growth and scalability of the Business Intelligence Innovate product - Fintech Scanner globally.

Role

• Develops and manages content for the Fintech Scanner product - including development of research reports, planning and executing events (virtual and n-person)
• Contributes towards the development of strategies and programs for large, strategically important global clients
• Obtain data from multiple sources, collate, analyse and triangulate information to develop reliable fact bases and reports
• Apply a range of quantitative and qualitative analytical techniques to rigorously identify client issues and synthesise the analysis into clear, sound recommendations
• Structure and prepare draft reports and client steering committee presentations
• Present draft reports to key stakeholders for review and feedback
• Extract intellectual capital from engagement work and actively develop and share tools, methods and best practices across projects
• Build network of contacts and internal relationships across Mastercard to support information gathering and data analysis
• Support product roadmap implementation activities with the global Product Management team
• Support sales team as product specialists, providing sales enablement materials/trainings and support when needed
• Consolidate product feedback received by markets (or by customer success managers) and provide product improvement recommendations
• Support product new launch across different regions: prepare the product for the launch, support product awareness, identify users target and support technical onboarding

All About You

• Connection to the fintech community and “startup world” a distinct advantage
• Executive-level presentation skills—must have persuasive “presence” and ability to effectively communicate technology to business people and business to technology people.
• Understanding / experience of innovation frameworks and practical technology application experience. Payments technology knowledge or experience in the industry would be an advantage.
• Leadership skills—must be able to influence others and navigate complex relationship scenarios & must be able to influence others without direct reporting relationships.
• Excellent verbal and written skills.
• Willingness to travel internationally

Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.