Who We Are
Having surpassed $300M ARR and continuing to grow, AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 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 G2.com 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, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the sixth year in a row, as ranked by Deloitte!
Why This Role is Exciting
As a Senior Analytics Engineer, you’ll help turn enterprise data into a platform for analytics and AI by evolving data transformation across core data marts. You’ll build and maintain models that support business decisions and enable AI-driven analysis at scale.
You’ll define and implement standards for data transformation work including modeling patterns, testing and documentation so data is consistent and reusable across teams. Working closely with stakeholders, you’ll translate business questions into transformed datasets and help establish clear metrics and governance as the company grows.
This role offers exposure to how the business operates, influence over how data transformation is done across the enterprise and the opportunity to build the foundation that analytics and AI experiences depend on.
Key Responsibilities
Design and execute scalable data models and transformation patterns across core data marts that power analytics and AI use cases across the business
Partner cross-functionally to translate business problems into data solutions that support AI-led analytics and intelligent decision making
Define and drive data governance and certification standards that establish trusted, enterprise ready data sets
Define and implement SDLC best practices for data transformation, including documentation, testing and version control to ensure reliability over time
Socialise best practice guides that enable spoke analytics teams to move faster with consistent patterns
Assess existing models and pipelines to identify opportunities to simplify, standardise and improve
Identify and propose new ideas that advance an AI-led analytics experience and improve how insights are generated
Attributes for a Successful Candidate
7+ years of experience in data/analytics engineering
Strong experience designing and maintaining data transformations and analytics data models using SQL and modern data stacks such as Snowflake, dbt, Python and Airflow
Demonstrated ability to define and scale transformation standards, patterns, CICD, Github Actions and SDLC practices across multiple teams
Experience supporting AI-driven analytics use cases, such as enabling semantic layers, feature-ready datasets or LLM-enabled analysis
Solid understanding of data governance classification and implementations as well as dataset certification, metric definition, ownership and data quality management
Proven ability to translate ambiguous business problems into well-structured data solutions in partnership with business teams
Comfortable identifying gaps in existing data models or processes and proposing improvements or new approaches
Strong communication skills with a track record of documenting decisions, influencing peers and driving alignment across teams
Business acumen in SaaS or technology companies, with familiarity in metrics such as ARR, churn, pipeline health, and customer lifetime value.
Our Company Values
Customer obsession: Apply relentless focus on listening to and understanding customers as the core of everything we do
Win, together: Drive to be the best while supporting each other’s success
Gritty resilience: Thrive in a fast-paced and dynamic environment, balancing immediate priorities with big-picture strategic goals
Personal improvement: Stay eager to share insights, seek feedback, and continuously learn
Constant innovation: Challenge the status quo and drive improvements
Perks*
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
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
Employee resource groups
Opportunities for team and company-wide get-togethers!
*perks may vary based on eligibility/location
Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information.
We love building strong partnerships, but please note that AuditBoard cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation.
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