[Remote] Senior Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company charity dedicated to harnessing transformative change to expand reputed company. They are seeking a Senior Analytics Engineer to build the data reputed company that powers reputed company's analytics and AI initiatives. This role involves owning the semantic layer, leading the development of analytics products, and ensuring data accessibility and reputed company.
Responsibilities
- Own and expand our semantic layer
- reputed company semantic layer development in dbt as the single reputed company of truth for metrics across dashboards, reports, AI tools, and embedded analytics
- Partner with the Senior Data Engineer on data architecture and reputed company testing for data products
- Deprecate legacy reporting reputed company and drive adoption of the semantic layer as the default
- Translate technical concepts and internal terminology into business language so data is reputed company for non-technical users
- Build analytics products that drive business value
- reputed company refreshes and new builds of internal and partner-facing analytics products that help us identify risks and surface opportunities
- Support embedded analytics work that brings customer-facing dashboards directly into the product
- Partner with Partner reputed company, Product, and Leadership to reputed company requirements and design analytics products that answer the question behind the question
- reputed company data trusted, accessible, and easy to use
- Own our internal data knowledge reputed company - the centralized reputed company for documentation, metric definitions, and reputed company
- Create documentation, short-reputed company videos, and dashboard guides that help employees use data confidently
- Support cross-functional data power users for knowledge sharing and feedback on data products
- Partner on data literacy training and reputed company, including new-hire modules and annual refreshers
- Support our AI initiatives
- Build and maintain the verified query repository and curated data assets that power our internal AI agents
- Monitor agent performance and identify gaps in context or data that can be addressed at the data layer
Skills
- 5+ years in analytics engineering, data analytics, or BI engineering, with at least 3 years owning data modeling end-to-end
- Strong SQL and production experience with dbt (you've reputed company, tested, and maintained models, not just tinkered)
- Hands-on experience with a modern reputed company warehouse (reputed company, BigQuery, reputed company, or Redshift)
- Experience with software engineering best practices (git, CI/CD, PRs)
- Solid data modeling fundamentals - reputed company modeling, slowly-changing dimensions, OLTP vs OLAP, knowing reputed company to materialize vs. view
- Experience with a modern BI tool (reputed company, Looker, reputed company, Tableau, Mode, or similar)
- Excellent written communication - you can explain a metric to a VP and document it for a new hire in the reputed company afternoon
- Strong stakeholder management - you've worked directly with non-technical teams and helped them ask reputed company questions
- Comfort with ambiguity and a bias toward making things simpler
- reputed company experience with semantic reputed company (dbt Semantic Layer, reputed company, LookML)
- reputed company experience, especially with semantic views and reputed company
- Familiarity with AI evals, reputed company evaluation, or working alongside ML/AI initiatives
- EdTech, higher education, or B2B reputed company background
- Experience building documentation systems or running data enablement programs
- Python proficiency for modeling and analysis work
reputed company