Senior Data Analyst

We have a vacancy for a Senior Data Analyst who is passionate about leading the transformation of data into valuable insights and driving business impact through data analysis.

About the Team & Role:

Our client’s mission is supported by a data ecosystem that drives informed decision-making and innovation. The Data Team is critical to this mission, enabling advanced analytics, machine learning, and actionable insights to shape business strategy and outcomes.

This team – comprising data engineers, data scientists, and data analysts – works collaboratively to transform raw data into impactful solutions, ensuring scalability, reliability, and actionable insights.

As a Senior Data Analyst, you will play a crucial role in swiftly uncovering actionable insights and supporting data-driven decision-making across the organisation. You will be responsible for leading data analytics projects while guiding and mentoring junior team members and stakeholders along the way.

This hands-on position involves collecting, processing, and analysing complex data to identify trends and patterns that inform business strategies and product features. You will collaborate with data engineers and data scientists to ensure data accessibility and quality, working on projects that impact critical business outcomes. Additionally, you will engage with non-technical stakeholders to understand business requirements, employing compelling storytelling to derive actionable insights from the data.

Key Responsibilities:

• Gather and integrate data from multiple sources and ensure that it is clean, accurate, and reliable for analysis.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
• Create and maintain clear, effective reports and dashboards to communicate insights to cross functional stakeholders at various seniority levels.
• Collaborate with data engineers to understand the data architecture and ensure seamless data access, quality, and transformation pipelines. Collaborate with data scientists to interpret model results and inform business decisions.
• Translate complex data findings into actionable business insights and recommendations for various stakeholders.
• Provide ad-hoc data analysis support for specific business queries or one-off projects.
• Understand business processes and shape how data analysis contributes to strategy and operations.
• Lead the process of understanding business requirements and translate these into technical deliverables.
• Develop and enforce internal data analytics standards and best practices.
• Serve as a technical leader, coach and mentor for junior team members and adjacent data and engineering teams.
• Lead end-to-end data analytics projects that support strategic goals. This includes requirements gathering, technical deliverable planning, output quality control and stakeholder management.
• Contribute to the development of the data strategy.

Requirements:

• A Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering or a related field. Advanced degrees are a plus.
• 5 - 8 years of experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL for data extraction and manipulation.
• Strong proficiency with data wrangling and cleaning techniques.
• Strong proficiency with data visualisation tools such as Tableau, Power BI, or similar.
• Exposure to managing enterprise deployments of data visualisation platforms (e.g. Power BI enterprise).
• Knowledge of statistical analysis techniques and tools (e.g. Python, R, Excel).
• Ability to interpret complex datasets and communicate insights in a clear and concise manner to various audiences of varying seniority.
• Experience leading and mentoring junior data analysts and other team members
• Experience contributing to and shaping internal data analytics standards and best practices.
• Strong written and verbal communication skills, with the ability to present data findings to non-technical audiences.
• Strong problem-solving and critical thinking skills and the ability to work with cross-functional teams to deliver results.
• An innovative, collaborative mindset with excellent communication skills to work across teams.

Bonus Points & Other Considerations:

• Experience working in the retail or consumer analytics industry.
• Experience with advanced analytics techniques like machine learning algorithms or predictive modelling.
• Proficiency in Python or R for data analysis.
• Experience with cloud-based data storage and processing platforms (e.g. AWS, Azure, GCP).
• Familiarity with big data technologies such as Hadoop, Spark, or similar.
• Relevant certifications in data analytics or data science (e.g. Google Data Analytics Certificate, Microsoft Certified Data Analyst Associate).

Benefits

• Competitive base salary
• Bi-Annual Key Performance Objectives (KPO) Bonus Scheme
• Employer-sponsored provident fund (% of base salary will be discussed)
• Employer-sponsored Discovery health plan (% of base salary will be discussed)
• Hours and place of work are determined by operational requirements (currently remote).