Data & Analytics Analyst

Role overview

What you'll do

• Define business questions, problems, and opportunities that can be supported through advanced analytics.
• Help design processes to be efficient, simple, and automated where possible.
• Work in Agile multidisciplinary teams, coordinating resources to meet project and scrum outcomes.
• Deliver analytics expertise and solutions that provide commercial and customer value.
• Communicate analytics opportunities and solutions clearly so stakeholders can choose an approach suited to business needs.
• Use new tools, technologies, and methodologies for advanced analytics.
• Share understandable updates connecting analytics, data science, and data engineering work to business needs.
• Visualize advanced analytics meaningfully for stakeholders.

Skills and experience

• Experience with SQL; Snowflake and AWS are indicated as ideal environments.
• Knowledge of data management principles and data architecture.
• Experience creating data visualizations and insights with tools such as QuickSight, Tableau, or Power BI.
• Critical thinking and problem-solving skills to develop data-led recommendations and solutions.
• Ability to communicate complex analytics clearly to a range of stakeholders.
• Understanding of data engineering, data science, and decisioning, with experience using tools such as GitLab or GitHub.
• Python and orchestration tools such as Apache Airflow are advantageous.
• Commercial awareness and ability to identify opportunities, risks, and business impacts.

Work arrangement

• Mostly remote: work primarily from home and attend an office or hub at least twice a month for collaboration.

Employment details

• Permanent, full-time role.
• Application closing date: 27 October 2026.

Benefits

• The advertised pay package describes base pay paid monthly and monthly pension funding.
• Annual leave includes 26 days, with the option to purchase up to five additional days.
• Includes three volunteering days and three training days.