Loading...
Mid LevelFull-timePythonRustAgileGit
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Analytics Engineer to join the Product Growth team at Octopus Deploy. This role focuses on building reports, dashboards, and forecasting models that inform product and business decisions. You'll collaborate with engineers, product managers, and finance to structure data, identify trends, and forecast customer behavior.
Key Responsibilities
- →Explore datasets to identify trends, patterns, and anomalies across the customer lifecycle.
- →Analyze data to answer complex product, growth, and business questions.
- →Present findings clearly, focusing on the story behind the data and what it means for decision-making.
- →Partner with product managers, engineers, and other teams to refine questions and iterate on insights.
- →Build dashboards and reports that surface trusted metrics and enable product, finance, and growth teams to explore data with confidence.
- →Build reusable analytical models that support consistent reporting and repeatable analysis.
- →Work closely with data engineers to understand data models, definitions, and data quality constraints.
- →Document data definitions, table structures, and common analysis patterns.
Requirements
- ✓Experience working with SQL to query and analyze real-world datasets.
- ✓Working knowledge of Python (Pandas or similar), for analysis and modelling.
- ✓Experience building or contributing to dashboards and visualizations.
- ✓A clear, practical understanding of basic data modelling concepts, such as fact tables, dimension tables, and star schemas.
- ✓Demonstrated ability to communicate analytical findings clearly to both technical and non-technical audiences.
- ✓Motivation to help others succeed with data, not just complete tickets or deliver reports.
- ✓Confidence working independently on well-scoped analysis, with good judgment about when to ask for help.
- ✓Curiosity, a learning mindset, and an interest in how data informs product and business decisions.
