Senior Data Analyst

The Role:

Reporting and Analytics Engineer (Power BI, Data Fabric & Modern Analytics) We are looking for a highly skilled Reporting and Analytics Engineer with strong expertise in Microsoft Power BI and modern data architecture paradigms, including Data Fabric and Data Products. This role requires a thinker who can design scalable, business-aligned data ecosystems while also enabling advanced analytics and self-service BI capabilities. The ideal candidate will have hands-on experience with Snowflake, Power BI, DataOps.live, ADF (Azure Data Factory) familiarity with emerging platforms such as Promethium, and a deep understanding of modern analytical concepts that drive enterprise-wide insights.

Key responsibilities:

• Data Architecture & Strategy • Define and implement enterprise scale data analytics and platforms aligned with business goals. • Develop and maintain logical and physical data models (data warehouse, lakehouse, and data fabric architectures).
• Modern Data Concepts (Data Fabric & Data Products) • Architect solutions leveraging Data Fabric principles to unify data access across distributed environments. • Define and operationalize Data Products, ensuring ownership, discoverability, and reusability. • Proficiency in SQL and at least one programming language (Python preferred) • Experience with ETL/ELT tools and data integration frameworks
• Business Intelligence & Visualization • Lead the design and development of enterprise BI solutions using Microsoft Power BI and the mentioned technologies. • Build scalable semantic models, datasets, and dashboards aligned with business KPIs. • Optimize report performance and implement best practices for data visualization and usability.
• Cloud Data Platforms & Engineering • Architect and integrate solutions using Snowflake as a core data platform. • Collaborate with engineering teams to design ELT/ETL pipelines and data ingestion frameworks. • Ensure high availability, scalability, and performance of data systems.
• Emerging Technologies & Tools • Evaluate and implement modern analytics tools such as Promethium for accelerated data access and insights. • Stay current with evolving technologies in analytics, AI/ML integration, and data platform innovation.
• Data Governance & Security • Establish data governance frameworks, including data quality, lineage, cataloguing, and metadata management. • Ensure compliance with security standards and regulatory requirements. • Promote best practices in data stewardship and lifecycle management.
• Stakeholder Engagement • Collaborate with business leaders, analysts, and engineers to translate requirements into architectural solutions. • Act as a trusted advisor on data strategy and analytics enablement. • Provide technical leadership and mentorship to data teams. • Experience enabling self-service analytics and data democratization
• Data Engineering & Integration • Proficiency in SQL and at least one programming language (Python preferred) • Experience with ETL/ELT tools and data integration frameworks
• Emerging Tools • Familiarity with Promethium or similar modern analytics/query acceleration platforms • Exposure to data cataloging and governance tools

Key skills/knowledge/experience:

• Experience with Microsoft Azure data services (Data Fabric, Data Factory) and DataOps.live • Knowledge of real-time and streaming architectures • Certifications in Power BI, Azure, or Snowflake • Experience integrating AI/ML workloads into analytics platforms

Desirable skills/knowledge/experience:

• • Strategic thinking and architectural vision • Strong problem-solving and analytical skills • Excellent communication and stakeholder management • Ability to bridge business and technical teams • Leadership and mentoring capabilities