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Business Intelligence Specialist
hace 2 meses
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 TeamWe 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.
Key Responsibilities
- 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
Requirements
- Bachelors degree in Mathematics, Actuarial Sciences, Economics, Business, Finance, or Computer and Information Science required; Masters degree preferred.
- Excellent verbal and written communication skills.
- Familiarity with data collection software and protocol
- Knowledge of Data science tools and Machine Learning algorithms
- Experience integrating new software and programs to data services
- Capable of prioritizing multiple projects while still achieving deadlines
- Excellent analytical and forecasting ability
- Works well independently and as part of a team.
- Thorough understanding of the company's business processes and the industry at large.
- Ability to handle databases and understand technology-driven business intelligence tools.
Benefits
- Attractive compensation package with stock options
- Fast-paced environment with many growth opportunities
- Relocation package & excellent medical coverage
- 15 annual vacation days
- Possibility to work remote 2-3 days per week