POSITION SUMMARY
The Senior Analytics Engineer develops and maintains reliable data solutions that improve decision-making, operational efficiency, and overall business performance.
This individual contributor will oversee analytics delivery from initial problem definition through solution development, deployment, and ongoing monitoring. The position requires the ability to translate complex and sometimes ambiguous business requirements into scalable, maintainable, and cost-effective data models, pipelines, and reporting solutions.
The successful candidate will demonstrate strong technical judgement, strategic thinking, disciplined execution, and the ability to balance immediate business priorities with sustainable engineering practices.
The role also involves identifying opportunities for analytics improvement, communicating technical findings effectively, and collaborating with stakeholders to ensure that data solutions support organisational objectives. Through technical mentorship, knowledge sharing, and the development of reusable tools, the Senior Analytics Engineer will contribute to stronger engineering practices and improved team productivity.
RESPONSIBILITIES
1. Analytics Delivery and Business Impact
Project Delivery: Lead analytics projects from problem definition through deployment and monitoring, ensuring that solutions meet business objectives and stakeholder requirements.
Opportunity Assessment: Identify and propose analytics initiatives supported by data-driven business cases that demonstrate expected value, operational benefits, and implementation priorities.
Solution Design: Design scalable, maintainable, and cost-effective data models, pipelines, and reporting solutions to address complex business challenges through structured technical analysis.
2. Data Quality and Operational Reliability
Data Quality: Identify and resolve data inconsistencies, validate analytical outputs, and monitor deployed solutions to maintain reliable information for business users.
Infrastructure Improvement: Improve data infrastructure and engineering workflows to minimise recurring issues, increase processing efficiency, and strengthen analytics reliability.
Engineering Discipline: Maintain version-controlled code, technical documentation, and established development practices to support maintainability, accountability, and consistent solution delivery.
3. Technical Leadership and Collaboration
Technical Mentorship: Provide technical guidance and mentorship to junior team members, encouraging knowledge sharing and consistent analytics engineering practices.
Reusable Solutions: Develop shared tools, libraries, and engineering resources that reduce duplicated work and improve productivity across analytics projects.
Stakeholder Alignment: Collaborate with business stakeholders to clarify requirements, communicate analytical insights through effective data storytelling, and adapt solutions to changing organisational priorities.
KNOWLEDGE AND SKILLS
The ideal candidate should demonstrate proficiency in the following areas:
Strong knowledge of Python, SQL, and data modelling methodologies, including Kimball and Data Vault 2.1.
Technical experience with Apache Hop, dbt, Snowflake, AWS, and Microsoft Azure for building and maintaining reliable data pipelines.
Proficiency in Power BI, DAX, and data storytelling to communicate actionable insights to technical and non-technical stakeholders.
Experience using Git for version control and Lucidchart for conceptual data modelling and technical visualisation.
Strong analytical thinking, structured problem-solving, and the ability to manage complex technical assignments.
Effective communication, collaboration, and technical mentoring skills.
EXPERIENCE AND QUALIFICATIONS
At least five years of experience in analytics engineering, data engineering, or a related discipline delivering practical business solutions.
Bachelor's degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and practical experience.
Knowledge of pharmacy business operations and Certified Data Vault 2.0 Practitioner certification.
Certified dbt Developer and Microsoft Power BI Data Analyst (PL-300) certifications are highly preferred.
Experience with Snowflake or SnowPro certification is advantageous.
AWS Data Engineering or AWS Data Analytics certification is also preferred.
KEY COMPETENCIES
Customer Focus: Builds trust by understanding stakeholder needs and delivering solutions that create value.
Strategic AI: Supports responsible AI adoption and the effective application of emerging technologies.
Optimises Work Processes: Identifies opportunities to improve efficiency and engineering workflows.
Collaboration: Works effectively with colleagues and stakeholders to achieve shared objectives.
Resourcefulness: Identifies and deploys appropriate resources to resolve technical challenges.
Manages Complexity: Breaks down complex challenges and develops practical solutions.
Ensures Accountability: Takes ownership of assigned responsibilities and delivers on commitments.
Situational Adaptability: Adjusts approaches in response to evolving priorities and working conditions.
Communicates Effectively: Explains technical concepts and analytical findings clearly to diverse audiences.
PROFESSIONAL VALUES
People: Recognising the importance of individual contributions and collaborative achievement.
Quality: Maintaining high standards in technical development and solution delivery.
Service: Supporting stakeholders through dependable and effective analytics solutions.
Innovation: Encouraging continuous improvement, technological advancement, and new approaches to problem-solving.
EMPLOYEE BENEFITS, HEALTH AND WELLNESS
Employment benefits and compensation will be determined by the actual hiring employer and may vary according to the candidate's location, employment classification, and applicable company policies.
The confirmed employer should provide details of available benefits, which may include:
Medical, dental, and vision insurance.
Paid time off and holidays.
Retirement savings programmes and employer contributions.
Professional development and training opportunities.
Employee wellness programmes.
Other applicable employment benefits.
PHYSICAL REQUIREMENTS
The position primarily involves computer-based analytical and engineering activities. The successful candidate should be comfortable working at a computer for extended periods, using hands and fingers to operate computer equipment and other office productivity devices.
Depending on the employer's workplace arrangement, occasional movement around the office, meetings, and collaboration with other departments may also be required. Any additional physical requirements will be communicated by the hiring employer.
APPLICATION INFORMATION
Interested professionals with the relevant qualifications and experience may express their interest in this opportunity.
Candidates should prepare an updated professional resume highlighting their analytics engineering experience, technical capabilities, relevant certifications, and significant project contributions.
