Senior Analytics Engineer

POSITION SUMMARY

Design, develop, and govern curated enterprise datasets that support analytics, machine learning, and digital product capabilities.

This role leads the development of Gold-layer datasets within the enterprise data platform and ensures that business metrics, dimensional models, and curated data assets are structured consistently and reliably. The position plays a working leadership role by guiding data engineers in modeling practices, accelerating delivery of early-value datasets, and establishing standards that improve trust in enterprise data.

Operating within a cross-functional environment, this role collaborates closely with Data Engineering, Data & Analytics, Digital Product teams, and IT to ensure business-ready datasets are scalable, well-documented, and aligned with operational and strategic objectives.

AREAS OF RESPONSIBILITY

Data Modelling and Curation

• Design and develop curated datasets that support enterprise reporting, analytics, and digital platform requirements.
• Establish dimensional models, fact tables, and standardized data structures aligned with business definitions.
• Ensure consistency of metrics, KPIs, and business logic across datasets.
• Validate accuracy and usability of curated datasets prior to production release.
• Maintain reusable modeling patterns and standardized transformation logic.

Data Modelling Leadership and Standards Development

• Establish modeling standards including naming conventions, schema design, and documentation practices.
• Provide technical leadership in dimensional modeling and semantic structure development.
• Review and approve modeling designs created by data engineers.
• Ensure business definitions are consistently implemented across datasets.
• Promote modeling best practices that improve scalability and maintainability.

Delivery and Data Value Acceleration

• Identify and prioritize high-value datasets that deliver immediate business impact.
• Lead delivery of foundational datasets that support early analytics and reporting needs.
• Work with stakeholders to define and deliver quick-win data solutions.
• Support rapid deployment of datasets required for operational and decision-making use cases.

Collaboration with Data Engineering and Analytics Teams

• Collaborate with Data Engineers to ensure smooth transformation from Silver to Gold layers.
• Work closely with Data & Analytics teams to translate analytical requirements into structured datasets.
• Support Digital Product teams with curated datasets required for platform functionality.
• Participate in cross-functional planning and delivery initiatives.

Technical Mentorship and Capability Development

• Provide guidance to data engineers on modelling practices and transformation logic.
• Review data models and provide technical feedback to improve quality.
• Support skill development and knowledge sharing within the team.
• Promote engineering discipline and continuous improvement practices.

People Management

• Performance Management: Manage and drive high performance among direct reports, and help them achieve their performance goals . This also includes conducting performance evaluations.
• Coaching and Mentoring: Provides guidance to direct reports in performing their areas of responsibility, and supports their growth and development.
• Employee Engagement: Implement initiatives and provide a work environment that will promote employee engagement and high commitment to the company.

QUALIFICATIONS

Education

Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related discipline.

Relevant Experience

• Minimum 5 years of experience in analytics engineering, data engineering, or data modelling roles.
• Strong hands-on experience designing dimensional models and curated datasets.
• Proven experience working with modern data warehouse platforms (e.g., Snowflake or equivalent).
• Experience translating business logic into structured data models.
• Experience mentoring junior engineers or providing technical leadership.

Licenses / Certifications

Relevant certifications in data engineering or analytics platforms are an advantage.

Business Understanding

• Strong understanding of business reporting and analytics workflows.
• Familiarity with KPI development and business metric alignment.
• Ability to translate business requirements into technical data structures.
• Owns final approval of curated dataset definitions prior to production release.