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.