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 tea

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

s.
Data stack: BigQuery, dbt, Looker stu

dio
Key responsibili

• ties
  Build and maintain data models to increase the organization's efficiency on data ana
• lysisBuild and maintain me
• tricsBuild and maintain business critical dashb
• oardsPerform experiments to prove or disregard hypothesis to improve the bus
• inessInteract with stakeholders to identify

needs
Requir

ements
Mu

• st haveBachelor’s or Master’s degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics, or relevant equivalent exp
• erienceExcellent communication skills to communicate findings and recommendations to both technical and non-technical au
• diencesSuperb problem solving skills and analytical
• mindsetTop-notch stakeholder man
• agementAdvan
• ced SQLExperience with BI tools and building dashboards with high adoption (preferably Looker Studio, but any would s
• uffice)Experience with scripting programming languages such as P
• ython/RStrong time management skills and the ability to manage multiple projects and pri
• oritizeStrong business acumen and framing that enable high-impact decision

making

Nic

• e to haveExperience
• with dbtExperience with data
• modelingGood understanding of machine learning fundamentals an
• d metricsExperience with fo
• recastingExperience with experimentation (both A/B testing and causal inference when A/B testing is not
• possible)Experience with ETL/Reverse
• ETL toolsExperience with Cloud-based data w

arehouses

• 
  Langua
• gesSpanishEnglish (full working pr

oficiency)