ING Tech Romania
ING Tech Romania

ING Tech Romania

ING Tech Romania is ING Group's global hub for technology providing over 121 services for 24 ING units globally. These services are arranged in these main categories: software development; data management; non-financial risk & compliance; audit. Established in 2015, our focus has been on building strategic key capabilities, such as developing and continuously improving common IT solutions that can be shared, replicated and reused across the other ING entities. Now, in 2021, our fast-growin...

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Data Analyst – Wholesale Banking | ING Tech Romania
Job
  • Work place: Hybrid

  • Collaboration: Employment contract

  • Work time: Full Time

  • Seniority: Individual Contributor

  • Experience: 2-4 years

  • Updated on: 13 days ago

  • Vacant from: 26 Jul, 21

  • Expires on: 31 Dec, 21

  • Pay: Negotiable

  • Categories: Backend, Fullstack, Data science, Agile, Data Engineering

Company
  • Size:> 500 employees

  • Industry:Information Technology and Services

Market (net €/month)
  • Only Loginro members with a minimum completed profile that share their salary expectations for this position may access its industry median pay.
Role

The mission

The Tribe Wholesale Data Management is responsible for delivering data availability, data quality, transparency & control and empower the organization with a united Data Management and Analytics Platform. Data Management is one of the five building blocks of ING’s “Accelerate Think Forward” strategy and you will play a crucial role in enabling ING to become a true data driven organization.

As a Data Analyst you are not afraid of handling and analysing highly complex data. You are great at converting this data into relevant dashboards, reports and insights. By presenting these findings effectively you support stakeholders in important decision-making.

 

Your Day-to-Day

  • You analyse complex Data issues that go beyond squad and/or tribe boundaries, with a view to designing complete solutions;
  • You collect relevant data, analyse and report. You clean up and process raw data, correlate different types of data and are able to recognize patterns;
  • You interpret data, analyse results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality;
  • You work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyse it to find conclusions. This by e.g. data-mining activities, in-depth data analysis, validating by combining and interpreting data;
  • You support tribes and squads in their decision-making by describing and visualizing discovered insights and predictions and advise your business partners on data and insight analysis, commercial opportunities and market developments;
  • You identify and define new data improvement opportunities.

Requirements

What you bring to the team

We are looking for an energetic and driven expert with passion for data (management) and with strong analytical capabilities who uses state-of-the-art methods and techniques for data analysis. You are an excellent communicator and able to build bridges between different stakeholders.

Skillset:

  • You have a master’s degree in e.g. Mathematics, Informatics, Econometrics, Computer/Data Science, Information Management or Statistics;
  • Experienced in relevant tooling such as PowerBI, Tableau, R, SQL, Python;
  • You have integral, cross-domain knowledge and experience
  • Attention to Detail: Data is precise. You make sure you are vigilant in your analysis to come to correct conclusions;
  • Excellent English written and verbal communication skills.

 

Nice to have

  • You have knowledge of and experience in Data Analysis in the financial services industry.

Needed Skills

Power BI

Python

SQL

Tableau

Available in

București

Benefits included

Meal tickets

Medical subscription

Medical benefits for family

Additional vacation days

Learning budget

Remote working (offsite)

Work from home

Flex time (07:00 - 19:00)

Office perks (ping-pong, juice, gaming spaces ie)

Gym & sport subscriptions

Flexible benefit (budget offered by employer)

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