Data Analytics Developer

4 weeks ago

Chicago, United States Alpine Solutions Group Full time

MUSTS:

  • 3+ years of Data Analytics, working on the entire data pipeline
  • Very strong programming and querying with SQL
  • Strong experience using SQL to write ETL code
  • Experience digging through millions of records of data to find insights
  • 3+ years of both SQL+ PowerBI– querying data all day long. Ability to write SQL queries with complexity every day then converting into PowerBI reports
  • Powerbi- actually developing powerbi reports and must have actually developed and deployed powerbi dashboards in a corporate environment – published reports in the enterprise used by decision makers
  • Worked with power bi desktop
  • Executive presence- ability to engage directly with C-level executives when sharing data, reports and presentations


PLUS:

  • Knowledge of credit portfolio data
  • Banking helpful
  • SAS
  • Knowledge of consumer underwriting platforms, etc
  • Azure data factory is a plus Microsoft fabric is a plus. Delta lake house, databricks is plus.
  • Bachelor’s degree in related field; advanced coursework/training related to computer science, management information systems, and mathematics/statistics
  • Comes from the cloud
  • Python programming


DAY TO DAY:

Our fast growing banking client is looking to hire a Data Analytics Developer to focus on their retail credit data. This role will sit within the chief data office of the bank and partner with other team members to monitor and optimize the risk, profitability, performance, and composition o the retail loan portfolios. You will help the business to grow the retail loan portfolio while also taking into account the bank’s appetite for credit risk. You will also maintain the data need for credit reporting, optimizing the overall credit strategy, and optimize the capital and risk- weighted assets.


The two main parts to this position are: developing and implementing data services and analysis and optimization of retail credit. You will create ETL artifacts, help to develop a data mart, and implement and develop reporting and dashboards for performance monitoring. You will also work to forecast portfolio performances and use statistical data techniques for the optimization of retail credit as a whole.


Overall, this role is both deep analysis and reporting both, and eventually this role will work to build predictive models and auto decisioning for our consumer loans. You will work up and down the entire data pipeline and truly won all aspects of data analytics.

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