Data Analyst - Wholesale Banking Analytics @ING Hubs Romania
Data Analyst - Wholesale Banking Analytics @ING Hubs Romania
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development data management non-financial risk & compliance audit and retail operations to 24 ING units worldwide with the help of over 2000 high-performing engineers risk and operations professionals.
We started out in 2015 as INGs software development hub then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.
Our tech capabilities remain the core of our business with more than 1800 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.
For us impact isnt a perk. Its the driver of our work. We are guided and rewarded by a shared desire to make the world a better place one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you
The Mission
WBAA TS Squad empowers Wholesale Banks Transaction Service Business Unit with data expertise and analytics solutions. Transaction Services provides the entire Payments and Cash Management infrastructure for INGs international corporate clients.
Our mission is to provide a scalable insights solution to monitor Transaction Services global business and increase profitability by enabling data-driven decisions for more than 300 internal business users.
Our 15-people strong cross-functional team both discovers and delivers data products that combine data visualization with advanced analytics elements.
As a Senior Data Analyst you excel at delivering high-quality data analysis while guiding and mentoring Junior and Medior analysts. You are skilled at identifying analyzing and interpreting patterns in complex data sets. You explore and evaluate data sources across various systems ensuring the availability of key data for analysis.
Collaborating closely with Data Engineers and Data Scientists you contribute to building robust analytics products. Your insights support critical business decision-making and you effectively communicate findings to stakeholders using both analytical and business language.
Your day-to-day
Data analysis:
Use SQL Python to analyze data generate reports and create statistics that support business decisions.
Identify trends and patterns in data to provide actionable insights.
Develop and maintain dashboards using visualization tools like PowerBI to present data clearly to stakeholders.
Explore and investigate the data sources and their availability in different data consumption systems.
Business Analysis:
Collaborate with stakeholders to understand their requirements and limitations.
Translate these requirements into data-driven solutions that align with broader business goals.
Ensure that solutions are scalable and adaptable to changing needs.
Adaptability and Flexibility
Stay up-to-date with emerging technologies and industry trends.
Be ready to learn and adapt to new tools methodologies and challenges in a dynamic environment.
What youll bring to the team
Experience: 3-5 years of experience in data analytics data visualization or/and statistics
Tech stack/ knowledge:
Mandatory:
SQL
Python (especially Pyspark)
Sound experience in data analytics/visualization tools such as PowerBI/Tableau/Cognos/Superset
Data reporting & statistics
Nice to have:
Experiences in working with Data Pipeline
Experience in Data Analytics in the financial services industry
Understanding in Machine Learning/AI
Excellent communication skills both verbally and in writing to be able to align with various stakeholders.
Ability to interpret and analyze data excellently using standard techniques and tools.
Up to date with the latest industry standards and trends in 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.
Ability to understand a predictive modeling used in Machine Learning/AI projects.
Language:English (advanced).
Education: Masters degree in Mathematics Economics Computer Science Information Management Engineering Statistics.
If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it read the privacy notices on ourwebsite (make sure to scroll until you reach the Data Protection section/ Candidates tab).
Required Experience:
IC
Employment Type
Full-Time
