报告和分析工程师（Power BI、数据编织及现代分析）
Reporting and Analytics Engineer (Power BI, Data Fabric & Modern Analytics)
This is a remote position.
Role Overview We are looking for a highly skilled Reporting and Analytics Engineer with strong expertise in Microsoft Power BI and good understanding of 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 Power BI, ADF (Azure Data Factory) , Snowflake, DataOps, and familiarity with emerging platforms such as Promethium (or AI enabled anlytical platform), and a deep understanding of modern analytical concepts that drive enterprise-wide insights. Candidates must be comfortable working in UK shifts and supporting UK business hours as required.
Requirements
Key Responsibilities 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.
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
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).
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, cataloging, 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
Preferred Qualifications
· Experience with Microsoft Azure data services (Azure Synapse, Data Factory, Fabric)
- Knowledge of real-time and streaming architectures
- Certifications in Power BI, Azure, or Snowflake
- Experience integrating AI/ML workloads into analytics platforms
Key Competencies
· 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
Required Skills
Power BI, DAX, Power Query, Microsoft Fabric, Data Fabric, Data Products, Azure Data Factory, ADF, Snowflake, SQL, DataOps, ETL, ELT, Data Integration, Data Pipelines, Data Modeling, Semantic Models, Dimensional Modeling, Data Warehousing, Lakehouse Architecture, Data Visualization, Dashboard Development, KPI Reporting, Self-Service BI, Business Intelligence, Data Analytics, Report Performance Optimization, Data Governance, Data Quality, Data Lineage, Metadata Management, Data Catalog, Microsoft Azure, Promethium, AI-Enabled Analytics, Modern Analytics Platforms, Stakeholder Management, Requirements Gathering, Solution Architecture, Data Architecture
Originally posted on Himalayas