Data Analytics Professional
Tasks
- Automate data collection
- Build reports dashboards
- Define data requirements with stakeholders
- Develop data products and analytical routines
- Document data flows and lineage
- Ensure secure high quality outputs
- Identify opportunities for automation and optimization
- Identify trends and insights
- Implement analytics process improvements
- Improve data quality and consistency
- Ingest data from multiple sources
- Investigate data to identify sources
- Maintain data pipeline health metrics
- Map data requirements to data documentation
- Monitor KPI reporting metrics
- Perform data quality assurance
- Process transform and curate data
- Support data architecture and design discussions
- Support data lifecycle validation and documentation
- Validate data quality
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agile | Cloud Data | Cloud Data Platforms | Confluence | Dashboards | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data platforms | ELT | ETL | Event Driven | Event-driven architecture | Excel | Markdown | Metadata | Reporting | SQL | Schema
Education
N/A
Roles
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