MO
Analytics Engineer transforming data into actionable insights for Moonpig Group's platform. Collaborating across departments to drive data - driven decisions with data transformation and engineering skills.
About the role
- Translate business requirements into technical requirements for scalable data models that support self-service analytics.
- Design, develop, and maintain robust, scalable semantic data models to support enterprise-wide reporting and analytics (e.g., finance, operations, HR, project delivery).
- Lead the development of curated datasets and transformation pipelines using tools such as SQL, DAX, and python.
- Build and enhance BI dashboards, reports, and visualizations using Power BI.
- Establish and enforce best practices for data modeling and performance monitoring to ensure scalable and efficient analytics solutions.
- Support the evolution of BGC’s data platform by recommending improvements in architecture, tooling, and workflows.
- Develop and manage documentation and governance standards to promote data quality, consistency, and transparency.
- Partner with data analysts to optimize data accessibility and performance in tools like Power BI and PowerApps.
- Mentor junior team members and contribute to the development of internal data capabilities.
- Evaluate and recommend modern data tools and platforms to enhance BGC’s analytics ecosystem.
Requirements
- Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or a related discipline
- 7-12 years of experience in data modeling, analytics, or BI development
- Demonstrated ability to lead cross-functional data initiatives and communicate effectively with both technical and non-technical stakeholders
- Strong understanding of dimensional modeling, data warehousing principles, data governance frameworks, and best practices for semantic layer design
- Proven expertise designing and implementing semantic models using Power BI datasets
- Advanced SQL skills and experience with modern data platforms (e.g., Azure Synapse, Snowflake, SQL Server)
- Experience with version control (e.g., Git), CI/CD pipelines, and agile delivery methodologies
- Fluent in scripting languages (Python, VBA, or C#) for data transformation and automation
- Strong analytical thinking, attention to detail, and a collaborative mindset
- Previous experience working with human resources, accounting, project management, or operational data in a professional services environment is an asset.
Benefits
- Comprehensive benefits package
- Health, Dental and Vision coverage
- LTD, Life, AD&D and Business Travel Insurance
- Employee Assistance Program
- Parental leave top ups
- Professional development and mentoring opportunities
- Flat management structure
- Flexible workplace with office and home arrangements
- Social and wellness activities
- Casual and professional work environment
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