Data Analyst at Discovery Limited

Key Purpose

• The data analyst is responsible for transforming raw data into actionable insights to support informed decision-making within an organization. Through the process of collecting, cleaning, and analysing data, identify trends and patterns, and create reports and visualizations to communicate findings they are able to provide data-driven recommendations, help optimize processes, improve performance, and drive strategic initiatives.

Objectives of this role

• Collect and Clean Data: Gather data from various sources and ensure its accuracy and integrity.
• Analyze Data: Use statistical methods and tools to identify trends, patterns, and insights.
• Report Findings: Create clear and informative reports and visualizations to communicate insights.
• Support Decision-Making: Provide data-driven recommendations to inform strategic and operational decisions.
• Optimize Processes: Continuously monitor and analyze data to identify opportunities for improvement and efficiency.

Responsibilities

• Gather data from various sources to analyse and document data and visualisation requirements to ensure consistency and reliability
• Ensure the data is accurate and free from errors by removing duplicates, correcting errors, and dealing with missing values.
• Assist with formulating data accuracy and completeness processes from ingestion to storage.
• Using statistical techniques and software tools to analyze data and identify trends, patterns, and insights.
• Designing and creating data models to organize and structure data effectively.
• Create visualizations like charts and graphs to present data findings clearly and concisely.
• Identify areas of opportunity to introduce new visualization tools.
• Present findings to stakeholders through detailed specification documents, presentations, and dashboards, making complex data understandable and actionable.
• Working with other teams, such as IT, marketing, and finance, actuaries to understand their data needs and provide relevant insights.
• Contribute to enhancing the data architecture principles for the environment.
• Understand the data pipeline process and assist with creating data pipelines to democratise access to data across the Invest ecosystem.
• Monitor the use of data within the environment and contribute to enhancing and improving the security of data through continuous monitoring processes.

Education and Experience

• Bachelor's degree in IT or Quantitative fields or related fields
• Postgraduate degree (simply an advantageous)
• 5 to 8 years data analytics experience

Required skills and qualifications

• Documentation using Confluence/Wiki
• Strong communicator verbally and in writing
• Expert database knowledge in SQL
• Experience working on large and complex datasets.
• Data analysis synthesis
• Understanding data quality and data governance concepts
• Self-management of tasks and deliverables

Preferred skills and qualifications

• Advanced training in data engineering and data analysis
• Prior leadership experience
• Experience in Data Integrity, Privacy and data governance
• Change Management experience
• Engagement with Senior stakeholders