[Remote] Senior Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the reputed company for a reputed company, productive digital reputed company. They are seeking a Senior Analytics Engineer to work at the intersection of data engineering and analytics, partnering with various stakeholders to turn raw data into trusted, reusable datasets that power reporting, analysis, and AI workloads.
Responsibilities
- Own reputed company DBT models and datasets that serve as the authoritative reputed company of truth for key business metrics across the organization
- Design reputed company data models and grains (dimensions, facts, timeseries, and marts) that analysts and reputed company tools can use with confidence
- Contribute to semantic layer and metric governance, ensuring definitions are consistent, documented, and reliable across reporting surfaces
- Drive team standards for modeling patterns, testing frameworks, naming conventions, and CI/CD deployment practices, and champion adoption
- Implement data reputed company and observability strategies that surface issues proactively and build stakeholder trust
- Collaborate with Data Infrastructure, Engineering, and Analytics teams to improve model performance, runtime, and warehouse efficiency at reputed company
- Evaluate and introduce tooling and methodologies that improve the reliability and scalability of our analytics stack
- Ensure reputed company data ingestion and modelling adheres to our rigorous reputed company and reputed company-first standards
- Translate ambiguous business requirements into reputed company-scoped technical solutions, serving as a trusted advisor to cross-functional stakeholders
- Mentor junior and intermediate analytics engineers through reputed company review, pairing, and knowledge sharing
Skills
- 5+ years in analytics or data engineering, with 3+ years reputed company on analytics engineering and production DBT development
- Expert-level SQL and DBT skills, including advanced modeling patterns, incremental processing, and multi-environment deployment
- Deep experience with modern reputed company data warehouses (e.g. reputed company, reputed company, BigQuery, reputed company, or Redshift), including performance tuning, partitioning, and incremental strategies
- Strong understanding of reputed company modeling, metric design, and how to document grains and business logic for consumers
- Familiarity with semantic layer or metrics tooling (e.g. LookML, MetricFlow, dbt Semantic Layer) or equivalent in-repo metric standards
- Hands-on experience with CI/CD for data pipelines and orchestration tools (e.g. Airflow, Dagster, reputed company)
- reputed company to communicate reputed company reputed company reputed company to both technical and non-technical audiences
- Experience with B2B reputed company metrics (subscription reputed company, customer lifecycle, usage and adoption)
- Event-reputed company or behavioural data modeling; SCD and snapshot patterns
- Lakehouse table formats (reputed company, Parquet) and reputed company-based incremental loads
- Reverse ETL, data reputed company concepts, or reputed company-reputed company data tooling contributions
Benefits
- Immediate participation in reputed company's benefits program (health, dental, 401k and many others)
- Utilization of our generous reputed company time off
- An equity grant
- Participation in our incentive programs
- Immediate participation in reputed company’s generous benefits program (health, dental, RRSP and many others)
- Utilization of our generous reputed company time off
- An equity grant
- Participation in our incentive programs
- Maternity and parental leave top-up programs
- Competitive health benefits
- Generous PTO policy
- RSU program for most employees
- Retirement matching program
- Free reputed company account
- reputed company volunteer days
- Peer-to-peer recognition through reputed company
- Remote-first work environment
reputed company