Senior Analytics Engineer, Articulate

• 8+ years of experience in data or analytics roles, with at least 5 in analytics engineering, preferably within a fast-paced tech company or data-driven organization
• Expert in end-to-end data workflows, from data collection to analysis and presentation, with most expertise in data modeling
• Confident in translating raw data to reusable, business-friendly data models
• Proven experience owning and leading the creation of reliable, flexible data models in an enterprise data warehouse, balancing completeness and performance with speed
• Expertise in SQL (writing and analyzing complex queries), Data Build Tool (dbt), Looker/Tableau (defining data models and measures)
• Experience building semantic layers using dbt, Looker, or Snowflake’s semantic tables
• Ability to write complex SQL, run ad-hoc data discovery, and build data models; experience optimizing queries and models for performance and cost
• Proficiency with orchestration tools like Airflow, Prefect or Dagster and with ETL tools like Fivetran or Stitch
• Comfortable breaking down large projects into smaller components, delegating tasks to more junior team members and creating clear, well-defined tasks to address critical data initiatives
• Excellent communication skills; ability to translate complex business questions into easy-to-use data models

Desirable

• Articulate is looking for a Sr. Analytics Engineer to join our amazing Data team! As a Senior Analytics Engineer, you'll transform the data landing in our data warehouse into self-serve data artifacts
• The goal of this role is to help our cross-functional data consumers find the right data set for their analysis and answer their questions quickly through a self-service data platform
• While the role is primarily responsible for building the data foundation for reporting and analysis, it is expected to provide necessary support in building and improving Articulate’s data literacy and infrastructure
• Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools such as Looker or Tableau, and publishing documentation, enabling self-service analytics for business users and faster insights for data analysts
• Collaborate directly with stakeholders to define problems and determine requirements for a solution
• Set and maintain best practices for data models and processes, including project architecture and QA
• Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them
• Own documentation of our tools and data, both for our team and for external usersLead discovery on data tools and infrastructure, including setting goals for tooling, continuous analysis of existing tooling, and exploring new tools and features we may adopt
• Participate as a technical leader in project planning, helping to create well-defined tasks to address data initiatives
• Mentor more junior members of the data team
• Represent the data team in some technical architecture and planning conversations
• Identify and share data risks and dependencies in these contexts
• Make recommendations for data collection and upstream data structure to support downstream data quality
• Support a culture of data-driven decision-making across the organization

• The application window for this position is expected to close 90 days from the original posting date