Senior Analytics Engineer

ZEBEDEE; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

ZEBEDEE is seeking a Senior Analytics Engineer to build the modeling layer that powers the business. You will own the transformation layer as we deploy dbt on a new data warehouse and design trustworthy models for finance, compliance, and product.

You will translate ambiguous questions into durable data architectures, collaborate with finance, compliance, and product, and monitor and refine models while supporting ingestion, orchestration, and warehouse configuration as needed.

Qualifications

• Ability to design dimensional models from fuzzy requirements
• Strong SQL with complex joins and window functions
• Experience with transformation frameworks (dbt preferred)
• Experience with cloud data warehouses (Redshift/Snowflake/BigQuery)
• Familiarity with orchestration engines (Airflow/Dagster/Prefect)
• Exposure to BI/visualization tools (Looker/Tableau/Metabase)
• Engineering hygiene: Git, CI/CD, tests, docs
• Platform-level infra patterns (Terraform, data lake)
• Experience with finance/payments or regulated data

Responsibilities

• Own the transformation layer with dimensional models, tests, and docs
• Turn business questions into durable models
• Partner with Finance, Compliance, and Product to define data definitions
• Monitor models and resolve issues before stakeholders notice
• Contribute to ingestion, orchestration, and warehouse configuration as needed

Skills

Modeling ownership

SQL proficiency

dbt experience

Cloud warehouse

Orchestration tools

BI visualization

Data testing

CI/CD basics

Cross-functional collab

Regulated data

Tools

N/A

Job description

• Reporting To: Adam Shepard
• We’re hiring a Senior Analytics Engineer to build the modeling layer that the rest of the business runs on. This role will be responsible for the transformation layer as we stand up dbt on a new warehouse
• You will design and build trustworthy models that finance, compliance, and our product depend on. You will help architect a scalable foundation and set patterns for the team as we drive advanced analytics and reporting across the organization. You will report to the VP, Data
• Own the transformation layer, including dimensional models, tests, and documentation, as we stand up dbt on a new warehouse
• Turn business questions into durable models. Not all work arrives fully specified, so you’ll turn ambiguity into structure and set patterns the team builds against
• Partner with finance, compliance, and product to define requirements, data definitions, and what “correct” means in our business context
• Monitor what you build, catching and resolving or escalating issues before our stakeholders notice
• Go a layer down into data ingestion, orchestration, or warehouse configuration when warranted, or go a layer up into analysis and decision support when needed

• 7+ years of combined experience across analytics engineering, data engineering, or analytics roles with substantial modeling ownership
• Data modeling / dimensional modeling fluency - you can design schemas from fuzzy requirements, not just query what exists
• Stakeholder range - you can sit with a finance or compliance lead, ask questions to get to requirements, and leave with a definition you can build against
• Strong analytical SQL skills - complex joins, window functions, performance-aware queries
• Transformation framework experience - dbt preferred, with Dataform, SQLMesh, or equivalent acceptable
• Cloud data warehouse experience - Redshift, Snowflake, BigQuery, Databricks, or equivalent
• Orchestration engine familiarity - Airflow, Dagster, Prefect, or equivalent
• BI / Visualization layer familiarity - Metabase, Hex, Looker, Tableau, or similar
• Engineering hygiene - Git, CI/CD, testing, documentation
• Platform-level experience - working with tools like Terraform / infra-as-code, DMS / CDC, data lake patterns, and data observability
• Experience with financial, payments, or otherwise regulated data - it shortens the learning ramp