Business Data Analyst

Altimetrik

United States

United States

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Über

One out of every two small businesses fails within their first five years, most often due to running out of cash. This team is on a mission to make a dent in that statistic by providing small businesses access to the capital they need when they need itleveraging internal financial and operational data for faster and better decisioning. This way, customers never again have to worry about not making payroll or saying no to a business opportunity. Thats how we power prosperity. This group is a nimble and high-priority start-up environment that is looking to reinvent small business borrowing. It is one of the fastest growing SMB lending businesses in the market. We are looking for top talent and team members who love new challenges, cracking tough problems, and working cross-functionally. If you are looking to join a fast-paced, innovative, and incredibly fun team, then we encourage you to apply. Duties
We are an exciting, growing, and dynamic team that leverages industry-leading analytics tools, techniques, and best practices. Were looking for a hands?on Business Data Analyst (Contractor) who is a creative problem solver with a passion for delivering advanced, data?driven solutions. Collaborating with the Collections Management team to develop new loss mitigation capabilities that enhance customer engagement and optimize solution rates Building new automation and reporting tools to monitor business processes and recommend improvements Designing solutions to improve data quality and usability Applying risk expertise to perform analyses at various aggregation levels and to inform data structure and feature generation decisions
Skills
4+ years of experience with quantitative analysis Experience in any major dialect of SQL (we use MySQL and PostgreSQL) and Python Experience with data visualization (we use Tableau for many of our business?facing dashboards, but we wont say no to a ggplot or two) Solid communication skills with demonstrated ability to explain complex technical issues to both technical and non?technical audiences Experience with Hadoop, HDFS, Hive, HBase, and/or related MapReduce technologies Experience with large?scale MPP systems such as Vertica or Redshift Experience with Tableau or similar BI software Experience with Python or similar high-level languages; experience with R or similar statistical analysis software
Education
BS or MS in an appropriate quantitative field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Engineering)
Seniority Level
Associate
Employment Type
Full-time
Job Function
Information Technology
Industries
Software Development
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United States

Sprachkenntnisse

English

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