Digital Sales - Data Integration & BI Architect
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Key skills for this role
About the Role
Design and implement data architecture and pipelines, develop Power BI dashboards, ensure data quality, and optimize performance for digital sales analytics.
Key Skills for This Role
Full Job Posting
1. Data Integration & Architecture
- Design and implement data architecture connecting multiple systems (eCommerce platform, CRM, analytics tools, CX platforms, pricing systems)
- Develop and manage data pipelines using APIs, ETL/ELT processes
- Define data flows (real-time vs batch) in alignment with business needs
- Ensure secure data handling and compliance (especially customer-level data)
2. Data Modeling & Structuring
- Build scalable data models (customer-level, funnel-level, policy-level)
- Establish a
Single Source Of Truth (Ssot)
- across all reporting
- Standardize data structures and naming conventions across systems
3. Dashboard Development (End-to-End Ownership)
- Design and develop
- Power BI dashboards from scratch
- Build datasets, measures, and logic behind dashboards
- Ensure dashboards are scalable, high-performing, and automated
- Enable drill-down capability across segments (e.g., channel, customer type, funnel stage)
4. Data Quality & Governance
- Define and implement data validation rules and monitoring
- Ensure data accuracy, consistency, and reliability across systems
- Troubleshoot data issues and coordinate fixes with IT teams
5. Performance Optimization & Maintenance
- Optimize data refresh performance and dashboard speed
- Manage ongoing enhancements and scalability of the data environment
- Maintain documentation for data architecture and flows
Key Deliverables
- Data architecture blueprint
- Integrated data pipelines across systems
- Clean, structured datasets for reporting
- End-to-end Power BI dashboards (executive & operational)
- Data governance and quality framework
Kpis
- % of systems successfully integrated
- Data accuracy and consistency rate
- Data refresh latency (timeliness)
- Dashboard performance (load time, uptime)
- Reduction in manual data preparation
Required Experience
- 7–12+ years in Data Engineering / BI / Data Architecture
- Proven experience integrating multiple systems (CRM, analytics, CX tools, backend systems)
- Strong hands-on experience with
Power Bi (End-To-End Development)
- Experience with APIs, ETL tools (e.g., Azure Data Factory or similar)
- Experience working in digital business / eCommerce environments (preferred)
Technical Skills
- Key Accountabilities:
1. Data Integration & Architecture
- Design and implement data architecture connecting multiple systems (eCommerce platform, CRM, analytics tools, CX platforms, pricing systems)
- Develop and manage data pipelines using APIs, ETL/ELT processes
- Define data flows (real-time vs batch) in alignment with business needs
- Ensure secure data handling and compliance (especially customer-level data)
2. Data Modeling & Structuring
- Build scalable data models (customer-level, funnel-level, policy-level)
- Establish a
Single Source Of Truth (Ssot)
- across all reporting
- Standardize data structures and naming conventions across systems
3. Dashboard Development (End-to-End Ownership)
- Design and develop
- Power BI dashboards from scratch
- Build datasets, measures, and logic behind dashboards
- Ensure dashboards are scalable, high-performing, and automated
- Enable drill-down capability across segments (e.g., channel, customer type, funnel stage)
4. Data Quality & Governance
- Define and implement data validation rules and monitoring
- Ensure data accuracy, consistency, and reliability across systems
- Troubleshoot data issues and coordinate fixes with IT teams
5. Performance Optimization & Maintenance
- Optimize data refresh performance and dashboard speed
- Manage ongoing enhancements and scalability of the data environment
- Maintain documentation for data architecture and flows
Key Deliverables
- Data architecture blueprint
- Integrated data pipelines across systems
- Clean, structured datasets for reporting
- End-to-end Power BI dashboards (executive & operational)
- Data governance and quality framework
Kpis
- % of systems successfully integrated
- Data accuracy and consistency rate
- Data refresh latency (timeliness)
- Dashboard performance (load time, uptime)
- Reduction in manual data preparation
Required Experience
- 7–12+ years in Data Engineering / BI / Data Architecture
- Proven experience integrating multiple systems (CRM, analytics, CX tools, backend systems)
- Strong hands-on experience with
Power Bi (End-To-End Development)
- Experience with APIs, ETL tools (e.g., Azure Data Factory or similar)
- Experience working in digital business / eCommerce environments (preferred)
Technical Skills
- Advanced SQL
- Data modeling
- ETL / ELT processes
- API integrations
- Data warehousing concepts
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