As Senior Analyst on the Business Intelligence team, you will be the go-to resource for empowering our team to understand and action our business data. You will be responsible for building and improving upon the foundational analysis tools currently available to the organization. You will field requests for analysis from other teams as needed, and ideally “productize” the outcome in a way that will help teams self-serve in the future.

Your primary goal will be to enable the various non-technical teams across the organization to service their own data and analysis requests by utilizing the tools you help create. As a key early member of the BI team, you will play a critical role in molding the Business Intelligence and Analytics functions at Postscript. All positions at Postscript are fully remote.

Primary duties

• Provide results-driven, fullstack data analytics, including setting up a data source, cleaning data, presenting it to end business-users across Postscript. Deliver analysis that directly impacts business performance, including financial, operational and strategic value 
• Provide exploratory data analysis as necessary and work iteratively to help teams identify what they are trying to understand
• Build excellent self-service analysis tools, including standardized analysis “playbooks”, dashboards, and toolkits. Productize ongoing data analytics needs to empower end users
• Ensure high utilization of self-service analysis tools. Train and educate non-technical teams on best practices and common patterns for using internal analytics tools
• Improve data warehouse structure in order to best provide easy end-user analysis. Introduce new data sources and data models to the warehouse as needed, and update existing models when necessary
• Provide proactive new analysis and data. Enable Postscript team members to define, iterate and improve upon metrics definitions and dashboard content. Anticipate future needs and continually develop creative solutions to problems 

What We’ll Love About You

• 5+ years full stack data analytics experience using ETL tools and reporting tools to enable business users to self-serve 
• Experience enabling and training a variety of teams to self-serve analytics using tools like Looker or Tableau
• Expert in SQL, and experience using a Cloud Warehouse such as Snowflake, BigQuery or Redshift
• Demonstrated experience with Python or a similar programming language. Familiarity with Pandas, Dask, Numpy
• Demonstrated experience defining and deploying data models within a production environment. Experience with dimensional modelling using DBT, DataVault, or similar  prefered
• Strong proactive and cross-functional orientation 
• High growth/early stage experience preferred