Senior Data Analyst
What You'll Do
On any given day, you’ll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include:
Data Extraction Manipulation – Handling highly complex, business-critical requests with precision.
Collaboration Solution Development – Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks.
Insight Generation – Scanning and leveraging available data sources to provide actionable insights that drive business growth.
Exploring Emerging Technologies – Quickly adapting to and integrating new technologies to enhance analytical capabilities.
Subject Matter Expertise – Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business.
Additional Contributions – Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys.
What We're Looking For
Expertise in Data Analytics – Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems.
Technical Excellence – Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred.
Strategic Thinking Stakeholder Engagement – Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making.
Problem-Solving Analytical Rigor – A structured, inquisitive approach to solving challenges through data-driven methods.
Numerical Trend Analysis – A natural affinity for numbers and a keen eye for identifying trends to inform business decisions.
Initiative Ownership – Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required.
Apply Now
On any given day, you’ll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include:
Data Extraction Manipulation – Handling highly complex, business-critical requests with precision.
Collaboration Solution Development – Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks.
Insight Generation – Scanning and leveraging available data sources to provide actionable insights that drive business growth.
Exploring Emerging Technologies – Quickly adapting to and integrating new technologies to enhance analytical capabilities.
Subject Matter Expertise – Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business.
Additional Contributions – Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys.
What We're Looking For
Expertise in Data Analytics – Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems.
Technical Excellence – Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred.
Strategic Thinking Stakeholder Engagement – Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making.
Problem-Solving Analytical Rigor – A structured, inquisitive approach to solving challenges through data-driven methods.
Numerical Trend Analysis – A natural affinity for numbers and a keen eye for identifying trends to inform business decisions.
Initiative Ownership – Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required.