AI Summary
Drive data quality and enable cross-functional decision-making by building robust pipelines and self-serve data products. Define key metrics for platform health, developer productivity, and ML/AI adoption. Champion data quality initiatives and provide mentorship to junior team members.
Key Highlights
Drive data quality and enable cross-functional decision-making
Define key metrics for platform health, developer productivity, and ML/AI adoption
Champion data quality initiatives and provide mentorship to junior team members
Key Responsibilities
Build robust pipelines and self-serve data products
Define key metrics for platform health, developer productivity, and ML/AI adoption
Own end-to-end analytical data modeling using modern data warehousing tools
Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks
Develop clear, story-driven dashboards to visualize insights
Champion data quality initiatives and provide mentorship to junior team members
Technical Skills Required
Benefits & Perks
Opportunity to work on impactful data initiatives in a fully remote setup
Engage with a dynamic team at the forefront of data innovation
Gain exposure to cutting-edge data technologies and methodologies
Nice to Have
Experience with experimentation, ML/AI metrics, or platform productivity
Job Description
We're working with a leading technology recruitment partner, connecting top talent with innovative companies that are shaping the future of data-driven decision-making.
The Role
- Drive data quality and enable cross-functional decision-making by building robust pipelines and self-serve data products.
- Define key metrics for platform health, developer productivity, and ML/AI adoption.
- Own end-to-end analytical data modeling using modern data warehousing tools.
- Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks.
- Develop clear, story-driven dashboards to visualize insights.
- Champion data quality initiatives and provide mentorship to junior team members.
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 5+ years of experience in analytics or data engineering, with deep expertise in SQL.
- Extensive experience with data transformation tools, cloud data warehouses, and workflow orchestrators.
- Proficiency in Python for data analysis and automation.
- Demonstrated ability to build and maintain robust data pipelines.
- Strong understanding of data quality principles and CI/CD for data models.
- Experience with experimentation, ML/AI metrics, or platform productivity is a plus.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Opportunity to work on impactful data initiatives in a fully remote setup.
- Engage with a dynamic team at the forefront of data innovation.
- Gain exposure to cutting-edge data technologies and methodologies.
- Contribute to defining critical metrics that drive platform health and productivity.
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