Data Business Analyst (Analytics and Insights) | Hybrid

What You'll Do

As our Data Business Analyst, you'll bridge the gap between business and technology by:

• Facilitating workshops to understand business challenges, opportunities and reporting needs.
• Gathering, analysing and documenting business requirements, business rules and functional specifications.
• Defining enterprise KPIs, metrics and business logic for implementation within modern data platforms.
• Working closely with Analytics Engineers to ensure business requirements are accurately translated into data models.
• Analysing data to identify trends, risks, opportunities and operational improvements.
• Building and contributing to dashboards, reports and analytical solutions that support business decision-making.
• Validating data quality, business logic and reporting outputs.
• Maintaining consistent business definitions, data standards and governance practices.
• Presenting insights and recommendations that influence strategic and operational decisions.
• Identifying opportunities to improve business performance through automation, AI and data-driven decision making.

Requirements

What You'll Bring

You'll be successful in this role if you have

• At least 5 years' experience as a Business Analyst within a data, analytics, systems or technology environment.
• Strong stakeholder management and workshop facilitation skills.
• Experience defining business rules, KPIs and reporting requirements.
• Strong SQL skills for data investigation and validation.
• Experience working with Business Intelligence tools such as Qlik, Power BI or Looker.
• Excellent analytical thinking, problem-solving and communication skills.
• Experience working within Agile delivery environments.
• Knowledge of data governance principles and regulatory requirements.
• Confidence using AI tools to improve productivity and decision-making.

Advantageous Experience

• Experience with dbt or semantic layer concepts.
• Snowflake or other cloud data platforms.
• Python for data analysis.
• Git or version control tools.
• Insurance or financial services experience.
• Exposure to AI-enabled analytics or automation initiatives.

Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, Statistics, Commerce or a related field.
• A recognised Business Analysis certification IIBA CBAP/CCBA, BCS Business Analysis or equivalent would be advantageous.
• Microsoft Power BI Data Analyst Associate, SQL certification or other relevant analytics certifications would be beneficial.
• Agile or Scrum certification would be advantageous.

The Kind of Person Who Will Thrive Here

You're someone who

• Takes ownership and enjoys solving complex business problems.
• Is naturally curious and enjoys asking "why?"
• Thinks commercially and understands how data creates business value.
• Can translate technical concepts into language business stakeholders understand.
• Builds strong relationships across all levels of an organisation.
• Enjoys working in collaborative, fast-paced environments.
• Is passionate about analytics, emerging technologies and continuous learning.