Customer Facing Data Analyst

We are Earnix

Description

We believe that for Financial Institutions, personalization is key to increased customer satisfaction and loyalty as well as to improved business results. ​ 

Recognizing the complexities of financial products, Earnix provides an end-to-end Pricing and Product Personalization Software Suite, driven by world-class data science, analytical modeling tools, and integrated machine learning.  

The Earnix 3D Personalization Suite empowers Financial Institutions to offer the RIGHT PRODUCT, at the RIGHT PRICE, at the RIGHT TIME, WHILE MAXIMIZING BUSINESS KPIs, ensuring governance & compliance, and improving the enterprise-wide end-to-end product personalization and pricing process. 

Job Description:

We are looking to hire a Customer Facing Data Analyst for our implementation teams. This position combines knowledge of data science, understanding of business analytics and of implementation processes. The Analyst will work with the largest Insurance Companies and Banks across the globe to implement Earnix solutions.

  • Design, implement and manage customer-specific analytical solutions 

  • Deliver successful projects that include complex data integrations, advanced predictive models and high-visibility business reporting

  • Travel to our customers around the globe

  • Train our customers in the use of Earnix solutions

  • Work with other Earnix teams to offer analytical support and knowledge sharing

Requirements

Requirements:

  • Degree in Statistics/ Mathematics/ Economics/ Data Science/ Engineering or other quantitative field from leading universities

  • Knowledge of a scientific computing language (such as R or Python)

  • Communication & interpersonal skills

  • Ability to convey complex analytical concepts & results clearly and confidently to all stakeholder levels

  • Willingness to travels abroad to customers

  • Excellent English - both written & verbal

 

Big Advantage:

  • Masters, graduate degree or equivalent experience in a quantitative field (Statistics, Mathematics, Economics, Data Science, Engineering, etc.)

  • Prior hands-on experience in predictive modeling including Machine Learning techniques

  • Prior consulting or customer-facing roles

  • Prior working experience in fintech companies and/or in retail financial institutions (banks, insurance companies)

  • Additional languages spoken, especially Spanish or Portuguese 

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