Senior Data Analyst

Metropolis Metropolis · Vertical AI · Chicago, IL +8 · Data Engineering & Analytics

This role focuses on building and maintaining a data warehouse platform, including data catalog and governance, and collaborating with data engineering teams. It involves developing visualizations, dashboards, and reports, crafting SQL queries, and performing ad hoc analysis to provide insights to business teams. The role also requires mentoring junior team members and establishing best practices for data quality and privacy.

What you'd actually do

  1. Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value
  2. Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights
  3. Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features
  4. Translate complex data findings into clear, compelling stories for both technical and non-technical audiences
  5. Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams

Skills

Required

  • SQL
  • Tableau
  • dbt
  • Snowflake
  • relational and dimensional database structures
  • data platform architecture
  • Agile SCRUM
  • project management

Nice to have

  • Java
  • JavaEE
  • SpringBoot
  • JavaScript
  • JQuery
  • MySQL
  • AWS
  • Git
  • Github

What the JD emphasized

  • primary data partner
  • collaborate with data engineering teams
  • data warehouse platform
  • data quality
  • data governance
  • analytics roadmaps
  • prioritize projects
  • critical business questions
  • data findings
  • data Engineering teams
  • data warehouse
  • Data Catalog
  • Data Dictionary
  • data discovery
  • data governance
  • analytics platform's performance
  • engineering teams
  • service level agreements (SLAs)
  • data products
  • data team