Senior Data Analyst

Metropolis•Seattle, WA

3d•Onsite

About The Position

Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external customers. In this role, you will work closely with business partners to understand their data needs, gather requirements, identify reporting solutions, and collaborate with data engineering teams to prioritize and deliver insights rather than just reports. You will rely on your skills as an excellent communicator to collaborate with stakeholders across Product, Engineering, Sales, Operations, and Growth, while using your strong technical skills to interface with Senior and Staff engineers to ensure product compatibility with Data Analytics best practices. Additionally, you will utilize your problem-solving abilities to troubleshoot performance issues, guarantee all analytics meet SLAs, and evangelize Data Analytics and Data Engineering best practices to help build a best-in-class Data Warehouse platform.

Requirements

Bachelor's degree in a STEM field or equivalent
6+ years of experience in an Analytics or Business Intelligence role
4+ years of experience performing complex data analysis and demonstrating mastery with SQL
4+ years of experience developing visualizations and dashboards in Tableau or a similar BI tool
2+ years of experience using dbt and Snowflake
Possess expertise in relational and dimensional database structures, principles, and best practices
Demonstrate a proven ability to collaborate with Data Engineering teams to architect a data platform
Exhibit experience working in Agile SCRUM teams
Display strong project management and independent work skills
Bring excitement to working in a fast-paced, dynamic startup environment

Responsibilities

Serve as the primary data partner for key business teams, helping them define their analytics roadmaps and prioritize projects that drive business value
Develop data visualizations, dashboards, and reports using Tableau to provide teams with actionable insights
Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features
Translate complex data findings into clear, compelling stories for both technical and non-technical audiences
Contribute to the evolution of the data warehouse by collaborating with Data Engineering teams
Build and maintain the Data Catalog or Data Dictionary to support data discovery and ensure data governance
Establish best practices and guidelines for data quality, privacy, and access control
Identify opportunities to improve the analytics platform's performance and report usage
Collaborate with engineering teams to define service level agreements (SLAs) for data products
Mentor and guide junior members of the data team