Platform Analytics Specialist
DKCPH55 - Copenhagen - Esplanaden 50, Denmark
DKK 310K-350K (estimate) Mid-level Full Time
Tasks
- Analyze user behavior and performance trends
- Assess bias fairness and unintended consequences
- Build and maintain data pipelines
- Build feature engineering pipelines
- Collaborate with product and engineering teams
- Communicate insights via data storytelling
- Conduct product adoption deep dives
- Create reusable datasets
- Design KPI measurement methodologies
- Develop evaluation frameworks for ML
- Document data products with SLAs
- Ensure data quality and performance
- Estimate and validate business impact
- Extract transform and model data using SQL
- Identify and resolve data quality issues
- Implement guardrails and human in the loop validation
- Manage analytical backlog prioritization
- Model decision oriented KPI frameworks
- Run experiment design using statistical methods
- Scope analytical workstreams
- Use AI tools to accelerate analytical workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Data Modeling | Data Pipelines | Data Quality | Data Storytelling | Databricks | Experiment design | Feature Engineering | KPI frameworks | Machine Learning | Model Evaluation | NumPy | Pandas | Power BI | Python | SQL | Statistical Methods
Education
N/A
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