About the Role
The role involves developing and optimizing reporting solutions, working closely with data sources, and ensuring data accuracy and accessibility for decision-making.
Responsibilities
- Design and implement scalable data models for analytics platforms
- Build and maintain ETL pipelines to consolidate data from multiple sources
- Develop interactive dashboards and reports for business teams
- Collaborate with stakeholders to define key performance indicators
- Ensure data integrity and consistency across reporting systems
- Troubleshoot and resolve data quality issues promptly
- Optimize query performance for large datasets
- Support data governance and compliance standards
- Document technical processes and data lineage
- Assist in integrating new data sources into existing warehouses
- Work with SQL and cloud-based data platforms
- Translate business requirements into technical specifications
- Monitor system performance and recommend improvements
- Participate in agile development cycles
- Provide expertise during data audits and reviews
Nice to Have
- Experience with Python or scripting for data automation
- Familiarity with data governance frameworks
- Knowledge of CI/CD practices in data projects
- Exposure to data observability tools
- Background in survey or market research data
Compensation
Contract position
Work Arrangement
Remote with flexible hours
Team
Part of the data and analytics team supporting business intelligence initiatives
Why This Role Matters
- This position plays a key role in enabling data-driven decisions by ensuring reliable, timely access to business metrics.
- The engineer will directly influence how teams interpret and act on data across the organization.
Project Scope
- Initial focus will be on enhancing existing reporting infrastructure and improving data refresh speeds.
- Contractor will also assist in migrating legacy reports to modern platforms.
Not available
