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Business Intelligence Analyst

Aviva

Aviva

IT, Operations, Data Science
Mexico City, Mexico
Posted on Tuesday, May 7, 2024

Description

About Aviva
We are a Mexico City-based technology startup following a unique approach to unsecured credit for underserved communities. Aviva’s physical onboarding kiosks build a bridge to those living in remote communities and provide a documentless 3-minute video onboarding for everyone in need of liquidity. This asset-light acquisition strategy, combined with a superior risk model based on computer vision and natural language processing, will allow Aviva to offer the lowest interest rates available to today’s underserved.

Our Founding Team
We are a team of entrepreneurs and experienced finance professionals, who have built unicorn startups and managed blue-chip banking operations worldwide. After driving innovation in lending in Mexico for the past two decades, we have just closed a 7-digit USD seed round to create impact for the underbanked.

What you will do

  • Gather business intelligence from a variety of sources including company data, industry and field reports, public information, or purchased sources.
  • Use business intelligence data and tools to identify and monitor current and potential customers.
  • Identify markets for future product development and methods to improve sales of existing products by analyzing technology trends and optimize the process for opening new kiosks.
  • Compile business intelligence or trends to support actionable recommendations, and possible train mathematical models to support these insights
  • Maintain current knowledge of industry and business trends through communication with professional organizations, suppliers, customers, competitors, and other informed individuals.
  • Summarize financial and economic data reports for review by executives, managers, clients, and stakeholders.
  • Design new data collection models to better collect information
  • Coordinate with IT department to implement new tools and/or models
  • Perform data profiling to identify anomalies