We are looking for an Analytics Engineer to help us take our internal analytics to the next level. We already have a working analytics setup, but we need someone to help us use it more effectively to drive business outcomes, evolve our data models, and empower our teams with actionable insights.
What you will do
- Data Models: Refine and evolve existing data models to ensure they align with business needs and support self-service analytics.
- Dashboards & Reporting: Build and enhance analytics dashboards in Metabase.
- Stakeholder Enablement: Train internal stakeholders to self-serve using our BI tools and data warehouse.
- Pipeline Improvements: Maintain and improve data pipelines orchestrated with Kestra.
- Data Transformation: Manage and optimize SQL transformations, with the flexibility to transition from Terraform to tools like dbt or SQLMesh based on your preferences.
- Data Collection: identify what data is missing to drive business outcomes and work together with our engineers to fill the gaps.
- Data Analysis: proactively explore the data we have to identify user behavior patterns and edge cases that could be of value to the Product, Marketing and Sales teams.
- Data Quality Alerts: ensure that we get notified about anomalies, such as specific fields being suddenly empty, to ensure high-quality data.
What we’re looking for
- Autonomy and drive to lead cross-functional projects from start to finish.
- Ability to work independently with data — be curious to find patterns, proactively share insights with stakeholders, and drive business outcomes based on data.
- Strong SQL skills and experience with data warehouses (BigQuery preferred).
- Experience building and maintaining data pipelines.
- Familiarity with BI tools like Metabase and data storytelling skills for creating intuitive dashboards.
- Ability to work closely with stakeholders to understand their needs and translate them into technical solutions.
- Experience with data transformation tools (dbt, SQLMesh, or similar).
Bonus points
- Familiarity with Kestra or similar orchestration tools.
- Experience with PostHog for product analytics.
Our stack
- Big Query as our data warehouse
- Metabase as our BI tool
- PostHog for product analytics
- CloudQuery and Singer for data ingestion
- SQL, Python, Terraform, dbt and SQLMesh for data transformations.
What we offer
- Fully-remote position: Work remotely with a culture that values results over hours.
- Impact: Own and shape our analytics setup to make a tangible difference in the company’s decision-making.
- Growth: Join a fast-paced startup where your work directly contributes to the company’s success.