Lead Data Analyst
5 hours ago
$150k - $160k (including super)
- Financial Services/ Superannuation
- Hybrid/ Flexible work environment
Our client, one of Australia's fastest growing organisations in the Financial Services industry is looking for a Lead Data Analyst to join their team ASAP on a permanent basis. You will perform data analysis, data assurance, compensation payment (interest) calculations, developing extracts from core administration systems and creating core SQL scripts and documenting process procedures.
**Key Responsibilities**:
- Accountable for output and quality of DA team members
- Responsible for setting KPI and performance targets for team members
- Point of escalation for team members
- Serve as an ongoing coach or advisor to the DA team, including technical coaching ensuring documentation is accurate and complete, meets the required standards, deadlines are being met
- Managing the onboarding / roll-off activities for DA resources who join or leave the team
- Environment management i.e. ensuring the infrastructure requirements and calculation tools are maintained / validated for currency etc
- Assurance activities for peers to ensure calculation and compensation accuracy.
- Understand the overall data driven scope of the incident and identify efficiencies and best practice (where feasible)
- Manage quality of data outputs
- Identification, escalation and mitigation of risks in the client identification process
- Build and operation of remediation data assets is expected to include:
- Creating tools and techniques to optimise program processes
- SQL script writing and SQL script review in support of program processes
- Suggesting process improvements and optimisations
- Understanding of Indices, fundamentals and analytical data, returns level data etc.
- Undertake daily, fortnightly scrum ceremonies for the project
**Key Skills Required**:
- Advanced Data analysis and SQL experience is essential
- Experience leading a team
- Supurb/Compass experience is highly regarded
- Excellent stakeholder management and ability to influence at all levels
- Demonstrable training / experience cleansing and blending data from different data sources to perform analysis using SQL
- Proven experience to ‘cut’ the data, as opposed to building Databases/Data Architecture
- Strong data analysis skills, with proven experience working in a complex data environment and large data sets, as well as capability using database query to extract and draw conclusion from data sets
- SQL Certification
- IT, Commerce or Finance related degree OR prior experience in client identification for a large-scale remediation program.
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