Lead for Data Excellence in Customer Service

We are in search of a Customer Excellence Data Lead with business acumen and data mining skills, to become a part of the Customer Excellence Team committed to enhancing the lifetime values of Viva customers. The ideal candidate is able to mine raw data and convert this into visual insights across all customer touchpoints within Viva wallet range, in a dynamic, intrapreneurial environment. The Customer Excellence Data Lead will have the chance to contribute to a culture centred around the customer and ongoing improvement, support a team of data mining experts, and have the opportunity to expand their abilities and knowledge in customer experience management.

Viva.com is a prominent European cloud-based neobank, offering the future of payments now. With a presence in 24 markets, it stands as the payment institution with the largest coverage in Europe. The mission of Viva.com is to change how businesses make and receive payments, offering thoroughly unifying, yet localized, cutting-edge digital payments solutions and embedded banking services tailored to their needs. Championing a sustainable cashless economy, the organization offers digital payment services over three different time zones, in 17 languages and 9 currencies, featuring over 30 payment methods. Utilizing the power of groundbreaking technologies, such as the and , Viva.com provides an omnichannel solution, that presents seamless, conversion-improving and secure ways to process transactions online and in-person, simplifying business operations and enhancing customer experience.

What you will be doing:

• Develop and utilize data mining and visualization reporting techniques such as Power BI to interpret information, construct dashboards to monitor performance and understand growth drivers, identify customer trends, and ultimately communicate findings both orally and visually
• Design and implement the necessary solutions for the optimal extraction, transformation, and loading of data from a variety of data sources using SQL and Azure technologies
• Assist in the implementation of strategy by setting and tracking the relevant KPIs
• Create automated reports using relational databases and optimize data delivery
• Complete tasks in an efficient and timely manner
• Understand business challenges and connect them with specific analytic activities
• Stay updated with new technology trends

What you should bring:

• A Bachelor's degree in Data Analysis, Statistics or a related field
• A Master's degree in Data Science, Data Analysis, Statistics, or AI will be considered an advantage
• 3 - 5 years of experience in the relevant field of analytics in finance companies (preferably)
• Experience with data modeling (e.g. Cohort, regression), data processing, and visualization tools (like: PowerBI)
• Competency with relational database systems and SQL with excellent analytical and management skills combined
• A capacity for constructing and managing programming skills (Python) connected to AI technology will be considered a substantial asset
• Be self-motivated and a quick learner to adopt new technologies and methodologies
• Be highly numerate with strong analytical skills and attention to detail
• Be fluent in English and Greek

• Be resilient, agile, and adaptable to an extremely fast-paced environment
• Be a team-player with the ability to interact effectively with various stakeholders

What we offer:

• Competitive package and bonus
• Career and competencies' development
• Up-to-date workspace environment
• Private medical and life insurance

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