Senior Analytics Engineer

About the Role

Key Responsibilities

• Partner with business stakeholders to establish and refine key metrics, creating and maintaining data sources and dashboards that empower stakeholders to make data-informed decisions
• Establish standards for reporting in Tableau, drawing on experience to create intuitive and easy to use data visualizations appropriate for the data and business area
• Lead the charge for making data discoverable by making documentation available and navigable for end users so they can self serve, and educate them on how to get the most out of Tableau
• Develop and optimize data models for analytical use cases using dbt, leveraging tests and best practices to ensure accurate, scalable, and high-quality datasets
• Serve as the architect for the dbt project: own and evolve the project's architecture, design patterns, and best practices, ensuring consistency in data definitions and streamlined development
• Design and implement Tableau Cloud data and workbook security model, and partner with IT to manage access, user roles, and permissions
• Set up tests to ensure data quality and freshness, monitor daily job execution, and diagnose/fix issues within dbt flows, working with stakeholders to resolve root causes
• Support maintenance and troubleshooting of ETL/ELT pipelines upstream of dbt that ingest, transform, and load data from various sources into the data warehouse

Requirements

• 8+ years of experience within data and analytics
• 3+ years of experience working with dbt
• 3+ years of experience with Tableau, creating and managing data sources and dashboards
• 1+ year of experience administering a Tableau Server or Tableau Online installation
• Proficiency in SQL, with strong knowledge of data manipulation, data modeling and query performance optimization, and the ability to manage large data sets and databases
• Experience with modern databases and warehouses like Redshift, Snowflake, Postgres, MySQL, or Google BigQuery
• Excellent problem-solving and quantitative skills, including the ability to identify root causes and recommend solutions
• Meticulous attention to detail
• Familiarity with git workflows
• A proactive, solution-oriented mindset with a predisposition towards collaboration and communication

Nice to Have

• Strong perspective on analytics engineering development cycle, including data modeling, version control, documentation + testing, monitoring, and best practices for codebase development
• Experience with Airflow or similar
• Some Python experience and the ability to read a stack trace

Qualifications

• No specific formal educational qualifications specified in the description

Benefits & Perks

• Comprehensive benefit plans with low premium options, including medical, dental and vision coverage, along with supplemental coverage options
• Free life insurance, short term disability and long term disability
• 401(k) plan with a company match of 100% of the first 2%, and 50% of up to an additional 4% with no vesting period
• Unlimited vacation and generous sick time
• Half day Fridays year-round (subject to business needs)
• 12 weeks of fully paid parental leave
• 4 weeks of fully paid disability leave
• Free Dollar Shave Club Products
• Monthly cell phone and work-from-home stipends