Senior Analytics Engineer

Job Description

Who We Are

Having surpassed $200M ARR and continuing to grow rapidly, AuditBoard is the leading audit, risk, and compliance platform on the market. More than 40% of the Fortune 500, including 6 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: AuditBoard is top-rated on and Gartner Peer Insights.

At AuditBoard we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, and compliance platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the fourth year in a row as ranked by Deloitte! 

Senior Analytics Engineer


Why This Role is Exciting

Data drives strategic decision-making. At AuditBoard, we are building a modern data analytics platform to support advanced analytics across all components of connected risk management. The successful candidate will partner with product leaders, data engineers, and analytics experts to enable strategic data solutions leveraging our modern data stack of Snowflake, dbt & Fivetran. The ideal candidate is a bold, driven & engaged engineer who is energized by a challenge, thrives in a culture of innovation, and succeeds through gritty resilience.  Here is a sample of things you’ll get to do: 


Key Responsibilities

  • Provide clean data sets to end users, modeling data in a way that empowers end users to answer their questions and enables unprecedented data visualization development velocity.
  • Create automated, scalable, purpose-driven data pipelines that enable practical, actionable analytics.
  • Oversee the administration, operations, and optimization, of enterprise data management technologies and infrastructure, including data pipelines, data warehouse, and BI/data visualization assets. 
  • Define, test, and deploy well-documented data transformations, analytics modeling, and data quality best practices. 
  • Create visual, actionable, and impactful data products using BI and other visualization tools.
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
  • Ensure continued compliance with applicable regulatory and contractual requirements for data security and privacy. 


Attributes for a Successful Candidate: 

  • 5+ years of combined data analytics, data engineering, and data governance experience.
  • 5+ years supporting business intelligence & analytics development at enterprise scale.
  • Intermediate to advanced proficiency with our tech stack: Snowflake, dbt & Fivetran.  
  • Data warehousing and ETL: Expert level knowledge of SQL and high proficiency with dbt & Snowflake or similar cloud data warehousing technology.  Deep experience with building low latency, complex data transformations at scale.
  • Strong Business Intelligence expertise across multiple tools including Power BI.
  • Database management and data modeling skills: Design, develop, and deploy well-documented data models that improve performance and enable faster visualization development time.
  • Efficient problem-solving and analytical skills: Able to analyze data effectively and troubleshoot data issues as they arise.
  • Strong programming capabilities: Apply software engineering best practices like version control and continuous integration to the analytics code base.
  • Demonstrated initiative, strong sense of accountability, collaboration, and known as a trusted partner.
  • Launch a career at one of the fastest-growing SaaS companies in North America!
  • Live your best life (LYBL)! $200/mo for anything that enhances your life
  • Remote and hybrid work options, plus lunch in the office
  • Comprehensive employee health coverage (all locations)
  • 401K with match (US) or pension with match (UK)
  • Competitive compensation & bonus program
  • Flexible Vacation (US exempt & CA) or 25 days (UK)
  • Time off for your birthday & volunteering
  • Unlimited access to LinkedIn Learning
  • Employee resource groups
  • Stock options
  • Opportunities for team and company-wide get togethers!


*perks may vary based on eligibility