Customer Facing Data Analyst
We are Earnix
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.
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
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
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