Chapter lead Data Analyst | Virtual Assistants @ING Hubs Romania

Discover ING Hubs Romania

We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.

Formerly known as ING Tech, as of 2022 we provide borderless services with bank-wide capabilities under the name of ING Hubs Romania and operate from two locations: Bucharest and Cluj-Napoca.

With the help of over 1600 engineers, risk, and operations professionals, we offer 130 services in tech, non-financial risk & compliance, audit and retail operations to 24 ING units worldwide.

Our tech capabilities remain the core of our business, with more than 1300 colleagues active in Data Management, TouchPoint Channels & Integration, Core Banking, and Global Products.

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged. Work ethics, honesty and knowledge sharing are key to our teams and we’re always looking for like-minded people.

Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:

• At ING, we embrace our tech side | 81% of our IT colleagues agree

The Mission

We seek an enthusiastic Chapter Lead with a passion for data and people!

You will play a crucial role in creating the data-driven culture. You will be responsible for developing a data analysts team and also delivering valuable insights to improve client experience by applying the latest Analytics interaction techniques in the domain of dialogue systems and natural language processing.

The Chapter Lead’s role is to build, manage and develop a team of data analysts working in developing analytics solutions, acting as a mentor on the technical side, but also as people manager.

Your Day-to-Day:

 People 40%

• Participate in the recruitment of new talents
• Provide continuous coaching and mentoring by clarifying job responsibilities, setting performance expectations through the establishment of goals and job competencies, identifying skill gaps, creating development plans and evaluating performance
• People management of highly talented data analysts
• Collaborate closely with engineering, data scientists and business colleagues across the organization

Data Analysis 60%

• Act as a senior data analyst by delivering high quality results in your squad and providing technical guidance in your chapter working with technologies like SQL, Python and visualization tools
•  Identify, analyze, and interpret trends or patterns in complex data sets (both structured and unstructured textual data) in collaboration with data scientists, in order to improve performance of our virtual assistants, based on Google DialogFlow
• Management of databases, data collection systems, data analytics and other strategies to optimize data quality. Analyze data and performance levels of our dialogue systems and proactively propose improvements
• Communicate these recommendations and provide data / analytical support to the stakeholders using both analytical and business jargon (written and oral)
• Work with the product owner to prioritize business and information needs, and accordingly implement them into an analytical approach

We work in a hybrid mode and occasional travelling to Amsterdam will be required.

What you bring to the team:

Experience: 2 years’ experience in coordination roles and at 2-5 years of experience within data reporting & statistics

Tech stack/ knowledge:

Mandatory:

• SQL
• Data reporting & statistics
• An interest or experience in these tools (Python, SAS, Cognos, Webtrek or Adobe)

Nice to have:

• Experience of doing it with Google DialogFlow
• Experience with Conversational AI and chat/callbot improvement of at least 1 year, in the area of discovery, creation, train and improvements of new intents
• Excellent communication skills, both verbally and in writing, to be able to align with various stakeholders on various levels
• Ability to interpret data, analyze results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality
• Good knowledge of database concepts and database designs
• Up to date with the latest industry standards and trends in the area of Data Analysis
• Ability to work with large amounts of data: facts, figures, and number crunching.
• Ability to apply high level analytical, statistical, and quantitative problem-solving skills to make actionable recommendations based on outcomes
• Understanding of Agile – Scrum methodology is considered a plus

Foreign languages: English (advanced); Dutch/French/Spanish/German are a plus

Education: a University degree in Mathematics, Economics, Computer Science, Information Management, Engineering, Statistics