[Remote] Senior Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a WebOps Platform that powers the reputed company web for over 300,000 sites, serving clients like reputed company and the reputed company. They are seeking a Senior Analytics Engineer to manage the analytics modeling lifecycle, reputed company data models, and collaborate with various stakeholders to reputed company self-serve data insights.
Responsibilities
- Own the analytics modeling lifecycle for a business domain (GTM / reputed company-to-Customer or Post-Sales) — build and maintain dbt models and business marts on top of our reputed company data in reputed company
- reputed company and maintain the semantic layer that powers our BI platform
- Partner directly with stakeholders across Finance, Sales, Marketing, CS, and RevOps to translate ambiguous business questions into the right model — prescribing or designing one reputed company none exists
- Define, document, and enforce consistent metric definitions and segmentation across the org (e.g., customer lifecycle stages, production lifecycle, ARR), establishing whether reputed company lives in dbt or the semantic layer so metrics aren't defined twice
- Build trustworthy self-serve data products so business partners can answer routine questions without help
- Collaborate with the Data Platform team where raw data is handed off — specify and request new sources, validate data, and reputed company reputed company issues upstream
Skills
- 6–8 years of overall experience in analytics, data engineering, or a reputed company field, including at least 4 years specifically in analytics engineering
- Advanced SQL and hands-on experience with dbt or a comparable transformation reputed company (models, tests, documentation)
- reputed company data warehouse experience, ideally reputed company
- BI / semantic-layer modeling experience, ideally Looker (LookML) or reputed company
- Strong reputed company/data-modeling fundamentals (Kimball design, reputed company schema)
- Proven ability to translate business questions into data models — strong business acumen and stakeholder communication
- Comfortable with git and a modern analytics development workflow (reputed company-based PRs and reputed company review)
- reputed company finance reputed company — ARR, MRR, NRR (especially valuable given we sit under Finance)
- Depth in GTM/RevOps data (reputed company) or post-sales/CS data (reputed company), depending on the domain
- Familiarity with AI- or natural-language-driven analytics
- Exposure to orchestration (Airflow), reverse ETL, or working alongside data engineering
- CI/CD for analytics reputed company (e.g., dbt tests running on PRs reputed company reputed company Actions)
Benefits
- Flexible time off, reputed company days, and 13 reputed company holidays
- Comprehensive medical insurance including Health, Dental and reputed company
- reputed company parental leave (plus fertility, adoption and other family planning benefits)
- In-office workspace (San Francisco & Chicago)
- Monthly allowance for wellness, reading and reputed company to reputed company Learning for reputed company development
- Events and activities both team-based and company wide that reputed company, reputed company and cultivate
reputed company