Senior Analytics Engineer
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Job Description
Senior Analytics Engineer at AuditBoard transforming enterprise data into analytics and AI solutions. Collaborating cross-functionally to drive data governance and establish metrics as the company grows.
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
Requirements:
- 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.
Benefits:
- 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!
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