Data Analyst

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.