Role’s Mission

This position sits within the Analytics team, which is responsible for enabling Aplazo to make data-driven decisions. We work closely with all business units (Growth, Marketing, Credit, Fraud, Sales, Finance, Support, etc), product and data teams to tackle business challenges with data.

There's Two Main Functions Within The Team

• Analytics engineering: provide clean datasets to end users, modeling data in a way that empowers end users to answer their own questions.
• Data Analytics: track overall business performance building critical dashboards and reports, perform deep dives and experiments to solve business problems and identify opportunities.
  
  

Data stack: BigQuery, dbt, Looker studio

Key responsibilities

• Build and maintain data models to increase the organization's efficiency on data analysis
• Build and maintain metrics
• Build and maintain business critical dashboards
• Perform experiments to prove or disregard hypothesis to improve the business
• Interact with stakeholders to identify needs
  
  

Requirements

Must have

• Bachelor’s or Master’s degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics, or relevant equivalent experience
• Excellent communication skills to communicate findings and recommendations to both technical and non-technical audiences
• Superb problem solving skills and analytical mindset
• Top-notch stakeholder management
• Advanced SQL
• Experience with BI tools and building dashboards with high adoption (preferably Looker Studio, but any would suffice)
• Experience with scripting programming languages such as Python/R
• Strong time management skills and the ability to manage multiple projects and prioritize
• Strong business acumen and framing that enable high-impact decision making
• Experience with experimentation (both A/B testing and causal inference when A/B testing is not possible)
  
  

Nice to have

• Experience with dbt
• Experience with data modeling
• Good understanding of machine learning fundamentals and metrics
• Experience with forecasting
• Experience with ETL/Reverse ETL tools
• Experience with Cloud-based data warehouses
  
  

Languages

• Spanish
• English (full working proficiency)