Data Analyst

Discover ING Bank

ING believes in a world where everyone has the right to grow and progress in their own way. We express this in our global tagline, "do your thing". Perhaps more than in any other large company, we extend our belief in the power of autonomy to our own people. But there's a catch. In return for great freedom, we expect people to do great things for our customers, our stakeholders, and ING at large.

To work here is to be surrounded by people who are energetic, ambitious, friendly and respectful: talented specialists who take the responsibility and autonomy to make great things happen. We stay curious, thrive on change, and seek new and better ways to make it happen. Active in Romania for more than 25 years, ING Bank pioneered and challenged the local banking industry. Technology and innovation are at the core of what we do, making our products relevant for our customers' lives and businesses.

Currently, ING is the 4th bank in the local markets, based on the assets and is a universal bank with 1,6 million clients from three business segments: individual clients (Retail), SMEs and Mid-Corporate clients and Wholesale Banking.

Join us

Mission

As a Data Analyst you will play the important role of a Chatbot Builder and you will help ING to expose new digital and seamless capabilities for our customer interactions and improve customer experience with our services and contact center teams.

Your day to day

Working Agile with a continuous improvement mindset in a cross-functional international environment to understand customer and business needs and implement conversational experience for our chatbot

Designing, mapping, building and implementing the conversational interface and logic of a chatbot for ING Romania Contact Center using Generative AI and LLM technologies

Training of the models, preparing and exploring datasets and improving conversational interactions (voice callbot and chatbot)

Monitor and continuously improve model performance and responses based on user feedback.

Analyze data and give insights (using data visualization tools) to inform stakeholders regarding models/chatbot performance, drive data-based decisions and propose improvement actions and fine-tune

Collaborate with multiple stakeholder customer journeys, UX, data scientists, machine learning engineers, cloud engineers to be able to seamless integrate chatbots into existing systems and platforms (Google Cloud Platform, Twilio etc)

Anticipate and manage risks with new AI technologies in a sensible environment as the banking industry

Stay up to date on industry trends and advancement in AI, cloud technologies and data science.

What you bring to the team

Master's degree in mathematics, Economics, Computer Science, Information Management, Engineering, Statistics or alike with 2-5 years of experience within data reporting & statistics

Experience with Python or R programming languages

Experience with dashboarding tools such as Looker, Cognos, or PowerBI.

A minimum of 1 year experience with Conversational AI.

Professional working language proficiency in English.

To be able to influence and convince not only peers but also the stakeholders based on analytical results

To be capable to take decisions at tactical level and therefore build a trusted relationship with your squad members

To be able to communicate and explain data driven methodology towards less analytics savvy colleagues

To be analytical: extremely curious, constantly looking for an explanation; analyzing sharply, concise & to the point

Nice to know

Experience in building virtual assistants on a cloud platform (e.g., Google Cloud Platform) is a strong plus

Experience with operationalization of a GenAI based chatbot or callbot is a strong plus

Experience in intent engineering/chatbot improvement is a plus

Knowledge of DevOps (versioning, CI/CD)

What we offer

Impactful work in a fun and collaborative environment;

Open-concept offices designed for both team work and relaxation;

Corporate events and social gatherings;

Hybrid way of working with flexible working schedule and short week options;

Monthly budget on Benefit platform;

Extra annual leave days depending on the total length of working experience;

Growth opportunities through upskilling/ reskilling programs and a variety of learning and development platforms: ING Learning Centre, Udemy, Bookster, as well as through trainings and certifications;

Possibility to access Internal roles, International Short-Term Assignments or Long-Term Assignments;

Context to make an impact through Sustainability and Corporate Social Responsibility projects.