Senior BI Engineer at Logz.io shaping data strategy and transforming datasets into actionable insights. Collaborate with teams to modernize analytics stack and deliver impactful insights.
Responsibilities
Own and evolve Logz.io’s BI stack, data models, and reporting infrastructure to enable data-driven decision-making.
Define and govern core business metrics to ensure consistency and reliability across all teams.
Lead analyses across product, marketing, and revenue functions to identify growth opportunities and optimize performance.
Build intuitive dashboards and champion analytics best practices for technical and non-technical stakeholders.
Improve data quality, lineage, and governance as the company scales.
Requirements
3+ years of experience in BI, Analytics, or Data Engineering roles in a tech/SaaS environment.
Proven track record managing end-to-end analytics workflows.
Advanced SQL skills and experience with large, complex datasets.
Expertise with BI tools such as Tableau, Power BI, Quicksight, or Metabase.
Familiarity with modern data stacks (Airflow, BigQuery, Snowflake, Redshift).
Ability to distill complex data into clear, actionable insights for both technical and non-technical audiences.
Proactive, collaborative team player who thrives in a fast-paced, evolving environment.
BS/BA in Computer Science, Mathematics, Industrial Engineering, Quantitative Economics, or equivalent.
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