Job descriptionFull Time
LandEarly is looking for an Analytics Engineer to help turn our product and application data into reliable, well-modeled datasets that the whole company can trust. LandEarly is an auto-apply platform that helps job seekers find fresh postings, tailor their materials, and submit applications quickly, and this role will be central to understanding how people use the product and where it can improve.
What you'll do
- Design, build, and maintain data models and transformation pipelines that turn raw application and product data into clean, analysis-ready tables
- Partner with product, engineering, and operations teams to define key metrics (such as application volume, match quality, and conversion rates) and ensure consistent definitions across the company
- Own the data transformation layer (e.g., dbt or similar), including testing, documentation, and version control
- Build and maintain dashboards and self-serve reporting tools so stakeholders can answer their own questions
- Monitor data quality and pipeline health, and troubleshoot issues before they affect downstream reporting
- Collaborate with data engineers and analysts to improve the reliability and scalability of the data warehouse
What we're looking for
- Experience as an analytics engineer, data engineer, or data analyst with a strong SQL background
- Hands-on experience with a modern data transformation framework such as dbt
- Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift)
- Strong understanding of data modeling concepts (dimensional modeling, star schemas, etc.)
- Ability to communicate clearly with both technical and non-technical stakeholders
- Comfort working in a fast-moving environment with evolving priorities
Nice to have
- Experience with workflow orchestration tools (e.g., Airflow, Dagster)
- Familiarity with BI tools such as Looker, Mode, or Metabase
- Python or scripting experience for data pipeline automation