We are #hiring #BI Engineer
Employment Type: Full-time
Department: Data & Analytics
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Role Overview
As a Business Intelligence (BI) Engineer at Seven Billion, you will be the bridge between data and business users โ transforming raw data into reliable, actionable dashboards and metrics that drive key decisions. Youโll collaborate with data engineers, analysts, and stakeholders to design intuitive visualizations, ensure data quality, and enable a strong data culture across the organization.
Key Responsibilities
- Design & Build Dashboards: Develop interactive dashboards and reports that answer specific business questions and deliver insights at scale.
- Data Modelling: Model data so it is consistent, reliable, and easy for analytics purposes.
- Translate Business Needs: Interpret stakeholder questions into well-defined metrics, visuals, drill-downs, and actionable insights.
- Ensure Accuracy & Quality: Validate that dashboards reflect real business logic and data โ not just surface-level numbers.
- Collaborate Cross-Functionally: Work closely with data engineers and analysts to maintain data quality, optimize pipelines, and align on modelling standards.
- Documentation & Best Practices: Create and maintain documentation for dashboards, metrics definitions, and BI workflows.
Required Qualifications
- Bachelorโs degree in Computer Science, Data Science, Engineering, Information Systems, or related field (or equivalent practical experience).
- Strong SQL skills and experience writing optimized queries.
Experience with data visualization tools (e.g., Power BI, Tableau, Looker, Qlik).
- Familiarity with data modelling concepts, ETL pipelines, and BI system architecture.
- Ability to translate business requirements into technical BI deliverables.
- Clear communication skills and the ability to present complex data in understandable formats.
Preferred Skills & Experience
- Experience working with cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
- Knowledge of Python or scripting languages for data transformations and automation.
- Familiarity with data governance, data quality frameworks, and access controls.
- Previous exposure to agile development practices or analytics teams.
What Success Looks Like
Dashboards and BI products that are trusted sources of insight for business decision-making.
Reduction in manual reporting through automation and self-service BI.
Strong cross-team collaboration, clear documentation, and adherence to data quality standards.
Why Work With Us
Opportunity to shape BI practices in a fast-growing analytics consultancy.
Work with cross-functional teams and diverse datasets.
Competitive compensation and opportunities for professional growth.
Interested candidates are requested to share their updated CV at [Upgrade to PRO to see link] with the subject line "BI Engineer."
#Reference will be much appreciated.