Senior Analyst - Data Management & Reconciliation at TAL Life Limited

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

15 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Reconciliation, SQL, Python, VBA, Data Quality, Regulatory Reporting, Metadata Management, Data Analysis, Automation, Actuarial, Finance, Data Pipelines, Business Stakeholders, Data Processes, Master Data

Industry

Insurance

Description

Company Description Help protect over 5 million Australians, making a real difference in their lives during their most challenging times. Work alongside diverse, passionate colleagues and leaders who inspire, support, and value your contributions. Access the tools and resources to acquire new skills, grow your capabilities, and take on new roles within a progressive, digitally enabled company Welcome to TAL. As a leading life insurer, we’ve been protecting Australians for over 150 years. Backed by Daiichi Life, we're driven by big ambitions and empower 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 Join TAL as a Senior Analyst - Data Management & Reconciliation and play a pivotal role in strengthening our regulatory data capability. In this role, you’ll ensure the integrity of data used in regulatory submissions and internal reporting by validating and reconciling information across systems. Your work will be critical in meeting our compliance obligations and supporting confident decision-making. We’re looking for someone who combines technical expertise with curiosity and storytelling skills. You’ll dive deep into data to uncover insights, explain variances, and translate complex outcomes into clear, actionable narratives for business stakeholders. Beyond analysis, you’ll help uplift TAL’s enterprise data management practices - driving improvements in metadata management, data quality, and master/reference data to build strong, scalable foundations for the future. In this role you will: Validate and reconcile Policy, Claims, and Disputes data in collaboration with the regulatory production, actuarial, and finance teams to ensure accuracy and consistency across reporting processes. Identify manual data processes and develop, enhance, and maintain automated workflows, scripts, and data pipelines using SQL, Python, VBA, or other relevant tools to improve efficiency and accuracy. Support the delivery of high quality regulatory and internal reporting, including ASIC and APRA returns and submissions to other industry bodies. Document data processes, lineage, and reconciliation logic for transparency and audit readiness. Maintain and enhance the business glossary, ensuring data elements are clearly defined, owned, and aligned across business functions. Document and maintain data processes, lineage, and reconciliation logic to uplift TAL’s metadata, data quality, and master/reference data practices. Qualifications 3+ years experience working in data focused roles, with exposure across data management, analytics, or regulatory reporting environment. Strong experience with SQL for querying, validation, and reconciliation across multiple data sources. Exposure to scripting or automation tools (e.g. Python, R, VBA, Alteryx, Power Automate) Prior experience in regulatory reporting, Life Insurance data, or other Financial Services data environments preferred. 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. Reconciliation Advocates – Read our Innovate Reconciliation Action Plan. 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. You’re always accountable for your actions. You never give up. You strive to find the best outcomes for customers and partners. And you value working together to find the best solutions for problems. As part of the recruitment process, there are several checks which may be conducted to demonstrate your eligibility for a role at TAL including Criminal History, Bankruptcy, Entitlement to Work, Regulatory and Reference Checks. #LI-Hybrid 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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Responsibilities

The Senior Analyst will validate and reconcile data across systems to ensure accuracy for regulatory submissions and internal reporting. Additionally, the role involves improving TAL's enterprise data management practices and documenting data processes for transparency.