Data Analyst
Native
Native
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: Consistent ability to attain the productive capacity of 5-10 people through grit, raw talent, and sheer force of will.
- 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
- Own the Quality Layer: Design and operationalize data visualization systems across our global commercial pipelines. From ingestion to insight, you'll be the guardian of data integrity, consistency and accuracy.
- Build scalable business intelligence: Design, develop, and optimize strategic dashboards that transform large volumes of data into clear and actionable insights for decision-making. Turn complex metrics into intuitive visualizations that enable the identification of risks, opportunities, and operational performance in real time.
- Orchestrate the end-to-end data flow: Develop and maintain transformation, modeling, and automation processes using tools such as BigQuery, LookML, and Dataform. Ensure data traceability, consistency, and availability from the source to the final visualization.
- Collaborate to maximize impact: Partner closely with Engineering, Analytics, Product, and Business teams to build robust analytical solutions aligned with strategic priorities and focused on delivering measurable value.
Requirements
- Technical proficiency: Expert-level fluency in SQL/MySQL and strong command of BQ for Dataforms development and transformations within the data flow.
- Operational Rigor: Proven experience (3–5 years) designing and implementing data quality monitoring, validation, and anomaly detection systems.
- Analytical Precision: Strong grasp of data structures, transformation pipelines, and methods to identify, quantify, and resolve inconsistencies.
- Visualization Expertise: Proficiency with BI tools (Qlik, Looker, Tableau, or Google Data Studio) to communicate insights effectively.
- Investigative Mindset: Ability to navigate ambiguity, test hypotheses, and connect anomalies to their operational or market root cause.
- Collaboration & Communication: Clarity when translating complex data findings to both technical and business audiences.
Bonus Points:
- Experience with ML-based anomaly detection or quality scoring
- Familiarity with Google BigQuery and data quality frameworks
- Background in market research or CPG analytics
Company
Headquartered in New York City, Native is a high-growth, venture-backed company redefining how physical retail is measured, understood, and acted on. Backed by Vista Equity Partners, a $100B+ platform focused on enterprise systems that own workflows, proprietary data, and execution, its mandate is clear: equip commercial leaders with the intelligence layer required to win, decisively.
Native replaces static research and fragmented fieldwork with living intelligence subscriptions —where agentic AI orchestrates continuous data collection, and reasoning across the market. The result is not a market analyzed after the fact, but one that is continuously seen, understood, and actioned in real time, enabling its users with an unfair competitive advantage.
Location
Bogotá, Colombia. Remote.
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