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SeniorFull-timeGitAI
Salary Range
$95,472 - $129,168 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer to build out holistic data pipelines, services, and infrastructure to power guest-centric insights and data-driven decisions across guest and consumer-facing product lines. This role requires architecting and developing a source of truth comprising comprehensive, non-financial metrics from the guest’s vantage point.
Key Responsibilities
- →Work with teams that own guest-facing products to define, maintain, and improve guest-centric KPIs including activation, retention, and engagement.
- →Architect and develop clear "sources of truth" for tabular and event-based guest data to ensure alignment across the organization.
- →Build dashboards and recurring reports that surface insights for product, growth, and lifecycle marketing teams.
- →Support A/B testing and experimentation by providing pre- and post-test documentation and reporting.
- →Partner with product managers and marketers to evaluate the impact of new features and campaigns upon the customer journey.
- →Translate raw data into actionable insights that inform decision-making.
- →Partner with engineers to ensure guest events are tracked and instrumented accurately.
- →Work with marketing and lifecycle teams to deliver audience insights that guide campaign targeting and personalization.
- →Collaborate with data scientists on deeper analyses and predictive modeling projects.
- →Create intuitive dashboards and data visualizations that highlight key results.
- →Clearly communicate findings to technical and non-technical stakeholders.
- →Leverage cutting-edge AI tools to enhance your development workflow.
Requirements
- ✓5+ years of experience in data engineering, analytics, business intelligence, or a related role.
- ✓Strong SQL skills and experience with data visualization tools.
- ✓Experience analyzing event-based data.
- ✓Comfort working with large datasets in a modern data warehouse.
- ✓Ability to translate complex data into clear, actionable insights.
- ✓Strong collaboration and communication skills with experience working cross-functionally.
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