Randstad is currently working with an exciting client to find a Data Analyst / Research Analyst (UX). This is an initial part-time role (3 days per week) with potential to become a full time role. It is based in Toowong with free onsite parking and WFH flexibility.
Client: Insurance Company
Role: Data Analyst / Research Analyst (UX)
...
Location: Toowong, Brisbane CBD with free onsite parking and WFH flexibility
Work Basis: Part Time (3 days per week) with potential to become Full Time
Role Overview:
As a key member of a delivery team, the Data / Research Analyst will work closely with the UX/UI Designers, Digital Delivery stakeholders and other data specialists to provide key insights into the customer experience within the digital area of interest. You’ll be part of a team of delivery specialists creating the best digital experiences for customers.
Key Duties:
- Conduct comprehensive UX research on a diverse range of digital customer experience challenges, with particular emphasis on quantitative methodologies including surveys, analytics, A/B testing, and statistical analysis.
- Apply advanced analytical techniques to evaluate complex information from large-scale datasets, identifying critical patterns, trends, and influencing factors that impact user behaviour and experience.
- Develop and execute effective research strategies and solutions, adapting existing methodologies to new contexts and devising approaches even when faced with limited initial information.
- Manage and execute research initiatives from inception to insight delivery with significant autonomy, applying statistical methods and quantitative analysis techniques to extract meaningful insights from complex, high-volume datasets.
- Translate complex research findings and their implications into clear, compelling narratives, effectively communicating actionable insights to diverse stakeholders, including senior leadership and those unfamiliar with UX principles.
- Utilise expert judgement, critical evaluation, and insightful interpretation to guide decision-making and recommend optimal courses of action for enhancing user experience.
- Collaborate with other departments to help communicate the value of being a “customer led” business and how it influences, Employee, Business and Customer outcomes
- Ensure consistency of digital customer approach across all products and online journeys
- Maintain awareness, understanding and compliance with Company policies and procedures, including the on-time completion of mandatory training. Identify and report potential risks or inadequate controls related to compliance or operational risks
The ideal candidate for this role will possess:
- Ideally experience with SQL (or similar) and experience with Data Visualisation tools (e.g. Power BI, Tableau or similar).
- Strong commercial acumen, with the ability to balance the drive for improvement with recognition of stakeholder needs and external regulators.
- Strong communication skills and stakeholder engagement.
- Experience using analytical tools to investigate and analyse user data.
- Demonstrable comprehensive knowledge and hands-on application of UX research principles, methodologies, and best practices within a professional discipline (e.g., qualitative, quantitative, mixed-methods research).
- Proven ability to assess unique or challenging user experience scenarios, applying sophisticated analytical and problem-solving techniques to uncover root causes and generate actionable insights.
- Proficiency in leveraging technical skills for data analysis and manipulation, for advanced analysis, pattern identification, and visualisation of complex research findings.
- A creative and adaptive approach to research, capable of developing novel solutions and suggesting varied approaches to complex UX problems.
If interested please hit "APPLY NOW" or email Sian for more details sian.asnicar@randstaddigital.com.au
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.