Data Analytics & Technical Specialist / FS / $30-40k P/MBanking Analytics | Data, Analytics & CRMWe are looking for a hands-on analytics and technical specialist to support fraud operations through data-driven insight, automation, and robust reporting.
This role sits at the intersection of analytics, technology, and operations, with a strong focus on execution and impact.
Key Responsibilities Design and maintain dashboards to monitor data quality, fraud operations performance, and operational efficiency.
Support large-scale fraud operations and system migration initiatives, including tracking progress, reporting, and documentation.
Partner with technology teams to manage data pipelines, data loads, and system integration activities.
Prepare and validate data for fraud system development, testing, and operational rollout.
Develop scripts and tools to automate processes, improve controls, and enhance operational analytics.
Proactively identify risks, inefficiencies, and improvement opportunities in a fast-changing business environment.
Requirements Degree in Statistics, Mathematics, Computer Science, Data Science, Information Systems, or a related discipline.3+ years' experience in data analytics, system development, or operational analytics roles.
Strong experience working with large, complex datasets to deliver timely, actionable insights.
Hands-on programming experience in Python and SQL (Big Query); Py Spark or SAS experience is highly desirable.
Experience working on cloud-based data platforms (e.g.
GCP) and BI / visualisation tools.
Exposure to banking, fraud, risk, or operational analytics environments is strongly preferred.
Ability to translate technical outputs into clear insights for operational and non-technical stakeholders.
Strong ownership mindset, attention to detail, and ability to deliver under tight timelines.
Comfortable working collaboratively across analytics, technology, and operations teams.
