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Data Validation Analyst
3 weeks ago
**About US**
UniSuper is a place for people who want to make a difference in their work and the world. As one of Australia’s largest super funds you will join an inclusive team of passionate people focused on creating a great retirement outcome for our members.
You will be empowered to grow your career and contribute from day one in an organisation that supports your mental, physical, and financial wellbeing.
We offer an impressive range of benefits including:
- 3 days over Christmas and 3 days 'Community and Culture' leave allowing you to celebrate and contribute to things that are important to you outside of work
- The opportunity to choose between 17% and 11% superannuation
- $1,500 personal development budget
- Exceptional parental leave
**The opportunity**
This role supports UniSuper’s commitment to ensuring the integrity of all customer data across the organisation, in line with our internal and external governance and compliance policies. It works with stakeholders across the organisation providing support to the end-to-end development of Data Validation Rules (DVRs) which performs critical data integrity checks across a variety of systems.
Whether it be responding to new DVR requests, or making enhancements to existing ones, you will work with stakeholders to manage the process from initial requests, assessment analysis through to translating into SQL code ready for deployment.
Key responsibilities include:
- Ensuring DVRs are developed and tested accurately and timely manner to stakeholder expectations
- Documenting DVR development progress to approval/ sign-off stage for every with approvals for every released rule
- Quality control and peer reviewing DVRs
- Support the wider team with Data Quality Assurance activities
- Support Issue Resolutions with data validation logic to support root-cause analysis and ensure mitigations/ controls are delivered Identify ways to continuously improve current processes and drive these with the Team to completion
**About you**
- Demonstrated SQL skills in translating business requirements into high quality data validation rules
- Strong data skills (analysis, insights, extracts, and reporting) using tools like Excel, SSMS and Power BI
- Issue resolution skills in dealing with ambiguity, diverse stakeholders and multiple data sources
- Ability to work closely with key stakeholders to improve data outputs and streamline processes
- Experience in data analysis & automation using Python is desirable
- Demonstrated ability in using Jira for issue-tracking & documentation using Confluence as BAU activities Experience in highly regulated industries like superannuation and/ or Financial Services is desirable
We're passionate about sharing knowledge with our members and our employees, therefore we believe that a balance of working from home and time in office with your colleagues is the best way to collaborate and build relationships. We ask you to be able to commit to 60% of your time in office.
**Think Great. Create Great.