Staff Analytics Engineer
vor 2 Wochen
We are seeking a highly skilled Staff Analytics Engineer to join our Consumer Product Tribes team at Delivery Hero. As a Staff Analytics Engineer, you will play a key role in enabling shorter time to insights for our analytics team, improving data trustworthiness, and enabling greater self-serve for both analysts and end-users.
This is a hybrid role embedded within our consumer analytics team, requiring a strong growth and get-things-done mindset. You will be responsible for identifying root causes of analytics pain points, proposing and driving solutions with external teams, and implementing quick fixes to unblock the business while keeping a long-term vision.
As a Staff Analytics Engineer, you will spend 40% of your time on data architecture, data modeling, and data pipelines building. This includes:
- Proactively identifying analysts' pain points and understanding data use cases.
- Working with analytics managers to create an analytics data blueprint and execution plan.
- Proposing and creating data models, working with data engineers to productionize models that reduce time to insights, enable reliable experiment evaluation, and greater end-user self-serve capabilities.
- Understanding gaps in the current DBT & Airflow framework for analytics use cases, working with data engineering teams to improve the setup.
You will also spend 40% of your time on data stewardship and data management, including:
- Creating a data quality monitoring, alerting, and resolution strategy, working with internal data teams to implement data quality monitoring and alerting.
- Participating in data steering committee meetings and working with external data stakeholders to address data quality issues and improve data accessibility.
- Championing quality data governance, creating data processes that improve data governance while balancing business agility.
- Acting as a 2nd layer of support for investigating data quality issues.
Finally, you will spend 20% of your time on documentation and communication, including:
- Creating and tracking metrics to showcase the impact of data initiatives.
- Tracking data issues and managing communication to ensure key stakeholders are informed.
- Maintaining good documentation of our data and data processes.
Requirements:
- 4+ years of relevant analytics/data engineering experience in rapidly growing and dynamic environments.
- Solid production-grade experience with workflow management tools (primarily Airflow) and config-driven data build tooling (primarily DBT) to deliver end-to-end data pipelines.
- Strong skills in schema design, dimensional data modeling, SQL, and working with large datasets.
- Experience with enabling data quality observability, monitoring, and alerting.
- Ability to drive and manage medium-scale project initiatives and work with external teams on larger projects.
- Basic experience with data visualization tools (Looker, Tableau).
- You aim for clean and well-engineered solutions, while keeping an eye for simplicity and pragmatism.
- You are highly passionate about data, with creative problem-solving abilities and an eye for detail.
- You have good English communication skills; being able to explain complex technical projects to the team and summarize them for non-technical stakeholders.
- You take ownership of your tasks and support the team in embracing sharing and collaboration.
Nice to have:
- Familiarity with BigQuery and Google Cloud Platform.
- Familiarity with data quality tooling (Great Expectations, Monte Carlo).
- Familiarity with experimentation tooling and techniques (Eppo).
- Python.
Language: English
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