Advisory (Senior) Analyst, Origination - PPAs, BESS and Energy Contracting

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!

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Being part of EY in Greece means being part of a continuously growing team, which has been announced as
Top Employer
for the fourth consecutive year, certified as a
Great Place to Work
for the third year in a row, and awarded as
Best Workplace in Professional Services & Consulting
for the second consecutive time, for our
almost 3,000 professionals
!

At EY, we’ll develop you with
future-focused skills
and equip you with
world-class experiences
through coaching and training programs as well as the use of
advanced technology and AI
. We’ll fuel you and your extraordinary talents in a
diverse and inclusive culture
of globally connected teams

Join us as we commemorate 100 years of EY in Greece this year. Experience great flexibility under our
hybrid operating model
across our offices in Athens, Patras, Thessaloniki and Crete and contribute to
building a better working world
.

The opportunity
We are currently seeking highly motivated people to join our Consulting practice which is a leading provider of risk management to financial institutions.

You will be part of a team of highly skilled professionals participating in challenging projects for leading international Banking groups as well as financial institutions in Greece. Working in this creative environment, you will be given the opportunity to apply you knowledge to solve exciting problems and infer well-substantiated business insights. You will be also given the opportunity to take responsibility and build valued relationships with external clients and internal peers.

You’ll further build the skillsets and growth mindset to become the leader you want to be.

Skills And Attributes For Success

• Strong analytical, problem solving and critical thinking skills
• Willingness to learn and continuously expand technical and business skills
• Ability to understand, produce and communicate complex/technical ideas to a non-technical audience
• Strong communication, presentation and writing skills in English and Greek. Knowledge of additional languages will be considered an asset
• Excellent interpersonal skills and ability to work effectively within a team
• Solid project management skills
• Team management skills
• Willingness and ability to travel and work abroad for international projects

To qualify for the role, you must have

• Excellent academic background, including a Bachelor and a Master’s in Mathematics, Statistics, Engineering, Operational Research, Econometrics, Data Science, Economics, Finance, Risk Management or other related field with strong quantitative focus. Ph.D. will be considered an asset
• Professional experience with focus on one or more of the following:

• Quantitative techniques and analytics in various areas within credit risk
• Model development, validation and implementation for credit risk quantification (e.g. PD / LGD / CCF estimation, IFRS9, IRB, Credit Approval, Stress Testing, Early Warning, Climate and ESG risks incorporation in Credit Risk)
• Data management, mining, cleansing and visualization with application on credit risk data
• Strong skills in programming and quantitative analysis packages (e.g., Python, R, SAS, SPSS) or/and data management (e.g., SQL)
• Knowledge of risk-related regulatory landscape and requirements

Ideally, you’ll also have

• Experience in data analysis, data quality, data automation and data management including familiarity with Big Data technologies
• Solid understanding of advanced statistical, Artificial Intelligence and Machine Learning techniques for classification, clustering and forecasting and hands-on experience using programming languages such as Python
• Experience in working on cloud technologies (e.g., MS Azure, Databricks)
• Experience in the design and implementation of credit risk model related frameworks (model lifecycle management, development, validation, deployment)
• Understanding of the credit lifecycle and credit processes (origination, approval, monitoring, workout, and collections)
• Knowledge of climate and other environmental, social and governance risks and their incorporation into credit decisioning and stress testing

What We Look For
Building a better working world is our firm’s broader ambition to become the world’s most trusted, distinctive professional services organization. We need people worthy of trust, who demonstrate enthusiasm, passion to grow fast and are highly motivated to support this purpose. What’s most important is that you’re dedicated to working with your colleagues as part of a high-performing team. You’ll need to demonstrate enthusiasm, high motivation, and passion to develop fast in a multinational working environment. You’ll need to thrive in picking up new skills and talents as you go, so natural curiosity, a lot of questions and the confidence to speak up when you see something that could be improved are essential. If you’ve got the right combination of technical knowledge and communication skills, this role is for you.

What We Offer You
Ability to Shape your Future with Confidence by:

• Developing your professional growth:

• You'll have unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications. You will experience personalized coaching and feedback, and gain exposure to international projects, through our expansive global network, empowering you to define and achieve your own success.

• Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth. These advanced AI tools will empower you to focus on higher-value work and meaningful interactions, enriching your professional experience like never before.

• Empowering your personal fulfilment: We focus on your financial, social, mental and physical wellbeing.

• Our competitive rewards package, depending on your experience, includes cutting-edge technological equipment, ticket restaurant vouchers, a private health and life insurance scheme, income protection and an exclusive EY benefits club card that provides a wide range of discounts, offers and promotions.
• Our flexible working arrangement (hybrid model) is defined based on your own preferences and team’s needs, and we enjoy various getaways such as short Fridays, Flex Day and Together Day.
• Our commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact.
• Our pride lies in working at EY as one of the most recognized employers in Greece through our multiple awards received over the last 4 years (Top Employer, Great Place to Work and Best Workplace in Professional Services & Consulting).
• Fueling an inclusive culture: We prioritize a diverse, equitable and inclusive environment, where you’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

EY
| Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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)