Senior Analytics Engineer

Title:  Senior Analytics Engineer 

Mission

Every consumer on earth purchases in one of three places: online, big-box retail, or mom-and-pop shops. Paradoxically, the largest commercial channel is, by far, humble traditional trade shops. Yet they remain fragmented, offline, and opaque.

Native is the first intelligence-grade system built to penetrate this opacity. Each analog store is digitized into a dynamic graph where noise is filtered into low latency signals, transforming the antiquated offline world into advanced digital intelligence. Commercial leaders gain the precision to see what others cannot, store by store, rendering decisive decision advantage to win the market.

Join the ground floor of the only platform engineered to decode the analog economy into operational dominance.

Talent Values

• High Leverage: Transforms complex data into scalable, repeatable outputs that save others hours or days of effort.
  
• High Agency: Relentless sense of ownership in the outcome, regardless of circumstance, acting decisively to shape the environment rather than being shaped by it.

• Curiosity With Discipline: An evidence seeking, measurement mindset without succumbing to analysis paralysis, and a penchant for experimentation.

• Intellectual Honesty: Certain enough to act, humble enough to always be learning

Role
You’ll work in the Data Production & Delivery team, a group of data analysts, and analytics engineers who are responsible for turning our raw data into the insights our customers need to make faster, more effective decisions. Responsibilities include:

• Design, maintain and enhance data pipelines and models
  • Design and implement efficient data models and transformation pipelines, primarily using Dataform (or similar tools)
  • Maintain and update existing transformations to reflect business and product changes
  • Monitor pipeline performance and optimize jobs for reliability and efficiency
  • Maintain documentation and version control for pipeline changes
• Ensure data quality and reliability
  • Design and implement data quality checks and automated testing for data transformations
  • Develop and maintain monitoring systems and data quality metrics to detect and track data anomalies.
  • Implement data validation rules and error handling

• Operational Support and Collaboration
  • Monitor and troubleshoot pipeline and scheduled job failures; implement corrective actions to ensure accuracy and operational continuity.
  • Collaborate with stakeholders to resolve data issues and ensure alignment between data models and evolving business needs 
  • Perform regular updates and adjustments to product data models based on catalog changes and market dynamics.
  • Continuously review and refine transformation processes to uphold data accuracy and operational standards.
• Translate research and requirements into recurring products
  • Work with Product and Data Science teams to prototype new data products and capabilities based on your research and/or customer requirements.
  • Translate ad hoc research and analysis into scalable, recurring data solutions that deliver long-term value.
  • Support efforts to evolve and improve existing data products to better meet customer needs and drive adoption.

Requirements

• Fluent in English
• BA/BS degree in Engineering, Computer Science, Mathematics, Statistics, or a related technical field—or equivalent practical experience
• Must have 3-5 years of hands-on experience with SQL, including advanced topics such as complex joins, window functions, subqueries, and query optimization
• Experience with data modeling and transformation tools such as Dataform or dbt
• Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Familiarity with version control systems (Git) 
• Proficiency in Python for data analysis, automation, and building data workflows
• Relentless drive to listen, learn, and improve the world around you
• Enjoys bringing order to complexity by structuring and optimizing analytics tasks and requests
• Proactive about documenting and sharing your work to enable team collaboration and growth

Preferred Qualifications:

• Experience with a data visualization tools (Google Data Studio, Tableau, Looker, etc)
• General analytics experience, generating client-facing reports, ideally in the commercial sector (ie market research companies, consumer packaged goods vendors, etc)
• Scripting language (such as R or Python), ideally for data analysis and visualization
• Experience with data quality frameworks
• Familiarity working with Google BigQuery and Looker
• You excel in ambiguity and are confident in diving deep to find items of interest in large datasets
• Passion for creating greater transparency in the world, particularly in developing economies
• Passion for spreading mobile technology in the developing world

Company

Native is a focused spinout backed by Vista, a $100B fund backing leaders in Artificial Intelligence and advanced technologies. Its mandate is to build the first intelligence-grade system for the world’s largest and least-understood channel of trade. It’s doing this by reverse-engineering analog markets into a digital graph, delivering precision, clarity, and control at enterprise scale.  It is headquartered in New York City, with offices in Mexico City and Bogotá.

Location

Bogotá, Colombia or Ciudad de Mexico, Mexico.