Senior Data Analyst

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

This role focuses on building and maintaining a data warehouse platform, creating data visualizations and dashboards, performing complex SQL queries, and collaborating with data engineering teams. It involves data governance, establishing best practices, and mentoring junior team members.

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
  • data warehouse platform
  • Data Engineering teams
  • analytics roadmaps
  • actionable insights
  • critical business questions
  • Data Catalog or Data Dictionary
  • data governance
  • analytics platform's performance
  • service level agreements (SLAs)
  • data products
  • complex data analysis
  • mastery with SQL
  • relational and dimensional database structures
  • architect a data platform