Data Analyst
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Job Description
Data Analyst leveraging SQL and BI tools to enhance data insights in Native's commercial operations. Building visualization systems and collaborating across teams for strategic impact.
Responsibilities:
- Own the Quality Layer: Design and operationalize data visualization systems across our global commercial pipelines.
- 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:
- Expert-level fluency in SQL/MySQL and strong command of BQ for Dataforms development and transformations within the data flow.
- Proven experience (3–5 years) designing and implementing data quality monitoring, validation, and anomaly detection systems.
- Strong grasp of data structures, transformation pipelines, and methods to identify, quantify, and resolve inconsistencies.
- Proficiency with BI tools (Qlik, Looker, Tableau, or Google Data Studio) to communicate insights effectively.
- Ability to navigate ambiguity, test hypotheses, and connect anomalies to their operational or market root cause.
- Clarity when translating complex data findings to both technical and business audiences.
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