Senior Data and Analytics Analyst

Sydney, NSW, Australia

TAL

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Company Description

  • Join a team of experts, and be a part of our collaborative culture 
  • We value flexibility, and give our people choices to balance work-life commitments 
  • Our modern offices are centrally located, with an onsite gym 

 Welcome to TAL. As a leading life insurer, we’ve been protecting Australians for over 150 years. Backed by Dai-ichi Life, we're driven by big ambitions and empowered to create better products and services.  

Together with our Partners, we’re helping millions of Australians live a life filled with choices, options and freedoms. See the direct impact you make delivering support and financial security with care and expertise.  

Grow beyond expectations with diverse roles, global connections and exclusive learning opportunities. Work with passionate, bright and capable colleagues. Feel inspired by supportive leaders. Collaborate with heart, where flexibility, wellbeing and inclusivity is valued. Together, we're reimagining insurance. 

So, bring a curious mind and an ambition to help us become the progressive, digitally-enabled leading insurer. 

Job Description

Please note this role is a fixed term contract (9-12 months approx)

The Data Analyst plays a critical role in supporting our enterprise data capability by bridging the gap between business needs and data solutions. As part of a key reporting initiative and the uplift of our strategic data platform, this role is responsible for translating complex business requirements into actionable data deliverables that provide meaningful insights and measurable business value.

This role will work closely with the Marketing team and a wide range of stakeholders across the organisation to
understand, document, and communicate data requirements within a cross-functional agile environment. Responsibilities include refining the product backlog, validating data outputs, mapping business solutions, supporting testing activities, and ensuring the consistent delivery of high-quality data products that meet stakeholder needs.

Operating within a Continuous Delivery team, the Data Analyst will contribute to solving business challenges through data-driven solutions. Success in this role will require a strong understanding of business processes, the ability to map those processes to business-facing applications, and the analytical skills to identify and unlock the value of data within those systems. Strong stakeholder engagement, facilitation, and core analytical capabilities—including data requirements gathering, backlog refinement, and testing—are essential. The Data Analyst will collaborate closely with developers, product owners, and business representatives to deliver impactful and insight-rich data products.

YOUR KEY ACCOUNTABILITIES


Data Analysis & Business Engagement

  • Conduct analysis of existing business processes, data sources, and applications to support data product delivery
  • Work closely with the Marketing team and key stakeholders to understand data and reporting needs
  • Partner with the Product Owner and Platform Manager to prioritise data features and enhancements
  • Elicit, document, and refine data requirements, transforming them into clear and actionable user stories
  • Facilitate backlog refinement and feature elaboration sessions to ensure shared understanding across the team
  • Identify business rules, data constraints, and data quality considerations
  • Lead data requirements walkthroughs with stakeholders to ensure alignment and traceability
  • Perform root cause analysis and provide data-driven recommendations for process and reporting improvements
  • Analyse and model business processes to inform data design and data pipeline development

Agile Ways of Working

  • Actively contribute to estimation, sprint planning, reviews, and retrospectives
  • Collaborate with the Product Owner in maintaining and refining the product backlog
  • Coordinate acceptance and sign-off of data stories and reports with the Product Owner and stakeholders
  • Adapt to changing priorities in a fast-paced agile delivery model

Data Delivery

  • Work with Subject Matter Experts, Developers, and Testers to define and validate acceptance criteria for all data stories
  • Collaborate with UX and visualisation teams on report/dashboard designs and wireframes
  • Review proposed data solutions to identify gaps or misalignments with business requirements
  • Support development and testing phases by providing clarification and guidance on data logic, business rules, and expected outcomes
  • Assist with testing activities across development (DEV), system integration (SYS), and user acceptance testing (UAT) environments
  • Map and model multi-system data flows and clarify interdependencies between source systems and reporting outputs
  • Ensure data integrity, consistency, and traceability throughout the delivery lifecycle

 

Qualifications

In addition to the core capabilities set out in TAL’s role requirements for this level role, you will need:

  • 5+ years’ experience as a Data Analyst or Business/Data Analyst working on data and reporting initiatives
  • Strong experience with data-focused projects, including data requirements gathering, data mapping, data modelling, and data validation
  • Demonstrated experience working in Agile delivery environments, including participation in sprints, backlog refinement, and cross-functional collaboration
  • Proficiency in data analysis tools and techniques, such as SQL, Excel, and data visualisation/reporting tools (e.g., Power BI, Tableau)
  • Experience in working with or understanding data platforms, pipelines, and source systems
  • Strong understanding of business analysis techniques, including requirements elicitation, process mapping, workshop facilitation, and stakeholder management
  • Excellent verbal and written communication skills, with the ability to translate technical concepts for non-technical audiences
  • Strong problem-solving and analytical skills, with a demonstrated ability to interpret complex data and deliver actionable insights
  • Proven ability to build strong relationships and influence stakeholders across both technical and business teams
  • Experience in financial services is mandatory, with Life Insurance or Underwriting experience strongly preferred
  • Formal training or certification in data analysis, business analysis (e.g., CBAP), or Agile methodologies is desirable

Additional Information

TAL is one of Australia’s leading life insurers, committed to inclusion, and supporting the career growth of our diverse workforce. We’re proud to be:  

  • An Inclusive Employer – Recognised as Employer of Choice for Gender Equality by the Workplace Gender Equality Agency and Bronze Tier Status within the Australian Workplace Equality Index  

  • Diversity Champions – Member of Diversity Council Australia, Australian Disability Network, Pride in Diversity and Champions of Change  

We welcome applications from people with diverse experiences, perspectives and backgrounds including Aboriginal and Torres Strait Islander people, caregivers, individuals living with disabilities, people from culturally diverse backgrounds and the LGBTIQ+ community.  

Need adjustments during the recruitment process? Let our team know by getting in touch with us here.—we’re here to support you. 

Everyone at TAL has a responsibility to do the right thing and is accountable for the way they conduct themselves. Our expectations are that you follow the principles set out in our Code of Conduct when you come to work every day. Risk management is everyone’s responsibility.

If you are already a TAL employee please apply via the SmartRecruiters button in Workday and navigate to the Employee Portal. This is important to ensure that your application is recorded accurately.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Agile Data analysis Data quality Excel Pipelines Power BI Security SQL Tableau Testing UX

Perks/benefits: Career development Insurance Startup environment

Region: Asia/Pacific
Country: Australia

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