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:

• 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