Narvar
Analytics Engineer, Data
Remote - Canada
Sponsorship not specified$125k-$150kDetected 1 day ago
PythonSQLBigQueryGCPAirflowdbtData EngineeringData VisualizationLLMsAgentic AIStakeholder ManagementLeadershipCommunication
About the role
- For this role, you should be located in Canada and able to work within EST/EDT hours.
- Post-purchase is one of the most data-rich and underserved problem spaces in e-commerce.
- We process 10+ billion consumer interactions across 1,500+ retailers, 38 countries, and 55 languages.
Responsibilities
- the person who turns the right questions into trusted, reusable metrics - and gets to watch them drive real decisions.
- We're building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers.
- When a shopper tracks a package, initiates a return, or gets a delivery notification through one of our 1,500+ brand partners, our data systems are doing the work behind the scenes.
- You'll translate questions from product, go-to-market, and executive partners into trusted metrics and build them into our semantic layer so they're defined once and reused everywhere.
- you'll expand our semantic layer and the Claude-powered agentic analytics on top of it - the metrics, models, and metadata that let our teams and Claude answer questions directly - so the organization can increasingly answer its own questions.
- It suits someone equally at home in a stakeholder conversation and in a data model, who measures success by how much self-serve they create.
- Partner with product, go-to-market, and executive stakeholders - running discovery on ambiguous questions and scoping the metrics and data they actually need
- Expand and own our semantic / metrics layer - defining and maintaining metric definitions and models so analytics are consistent, trustworthy and reusable across the company
- Deliver self-serve and AI-accessible analytics - curated datasets, metrics, and reporting that internal partners and our agentic / LLM querying surface can answer on their own
- Ingest net new data - designing and building pipelines to bring in new sources such as GTM and product-usage data and modeling them for analytics
Requirements
- 3+ years in analytics engineering, data, or a closely related role, including ownership of metrics or data models that other teams rely on
- The ability to stand up a new data source end to end - comfort with orchestration, APIs, and batch ETL, not just querying what already exists
Nice to have
- Working knowledge of a cloud data warehouse (GCP / BigQuery preferred), a BI tool such as Looker, and Python for pipeline and tooling work
Compensation
- Below is the estimated annual salary for this position and does not include the other components that make up a
- annual bonus, equity, and benefits.
Benefits
- We're a home for big hearts and we leave our egos at the door.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location.
Company info
- We're on a mission to simplify the everyday lives of consumers.
- That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers.
- We are an equal-opportunity employer and value diversity at our company.
- We're looking for an Analytics Engineer, Data to own internal analytics enablement - the bridge between our business teams and our data.
This listing is sourced directly from Narvar's careers page and normalized into a canonical job model.