Job Overview
This position for Data Analyst in the Lending Tribe is for Loan Origination & Execution Area. From there, you will serve a few squads addressing their data analysis or modeling needs.
Data Analysts are responsible for designing, developing, and maintaining data models in relational databases and unstructured forms to enable innovative problem-solving, insights, behavior models, and communicating how those findings support improvements in decision-making, reliability, customer experience, profitability, etc.
Key Responsibilities
- Data Modeling and Collaboration:
- Act as a bridge between analytics and IT teams, bringing a data-driven perspective to the business.
- Leverage data modeling skills to create data models that would serve the Data Engineers to build new databases.
- Reporting and Automation:
- Produce data models using SQL, and other tools.
- Develop and automate tables serving as a base for regular updates (weekly, monthly, quarterly, and annually).
- Data Structure and Applications:
- Design and enhance data structures to ensure accuracy and integrity.
- Modify applications to extract relevant information from company databases.
- Industry Interaction:
- Collaborate with data analysts, data scientists, and industry experts.
- Understand how data should be transformed, loaded, and presented.
- Additional activities:
- Identify new opportunities to improve the domain critical key performance indicators.
- Act as a data subject matter expert for designated product space/area.
- Engage with business users and product owners, understand problem statement, and then develop a customer-driven solution.
- Research and analyze best-in-class industry solutions to design data-driven digital strategies for the bank.
Key Capabilities/Experience
- Experience in analytical work with large datasets and relational databases (SQL).
- Experience with data preparation (e.g., mapping) and data modeling/analysis (e.g., Entity-Relationship Model).
- Ability to work collaboratively with data engineers and scientists.
- Ability to work effectively in a team environment.
- This is a plus:
- Understanding of Wholesale loan origination lifecyle
- Experience in the banking domain.
- Skills to communicate complex ideas effectively.
- Attitude to thrive in the ING way of working (e.g., Agile, small iterations).
Minimum Qualifications
- Education/Work Experience:
- Bachelor's degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or a related field. An advanced degree (e.g., Master, PhD) or a strong academic record with advanced coursework in Math, Statistics, or data management is a strong plus.
- 3+ years of work experience in a data-related position.
- Skills:
- Proficiency in SQL and relational databases.
- Advanced knowledge of data analysis, statistical techniques, and data mining.
- Proficiency in dashboarding capabilities is a plus.
