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ibex is seeking a Data Analytics professional to join the Compliance Analytics team. You will turn data into actionable insights, collaborating with stakeholders to deliver data-driven solutions that improve processes and support decisions.
The role covers analytics lifecycle from requirements gathering to dashboarding, data modeling, and governance, using SQL, Python, Power BI, Tableau, dbt, and Microsoft Fabric.
We are looking for a Data Analytics professional to join our Compliance Analytics team. In this role, you will work closely with business stakeholders to deliver data-driven solutions that support compliance, improve business processes, and provide actionable insights.
You will be involved throughout the analytics lifecycle, from gathering requirements and analysing data to developing dashboards, building data models, and supporting data governance initiatives. Using tools such as SQL, Python, Power BI, Tableau, dbt, and Microsoft Fabric, you will help turn data into meaningful information that supports business decision-making.
This is an excellent opportunity for someone who enjoys solving problems, working with modern data technologies, and collaborating with both technical and business teams.
nCollaborate with business stakeholders and Lead Analysts to understand business requirements and translate them into effective technical and analytical solutions
rySupport the end-to-end delivery of analytics initiatives, including requirements gathering, data exploration, solution design, development, testing, deployment, and post-implementation suppor
ingDesign, develop, and maintain scalable, efficient data models using dbt and Microsoft Fabric semantic models. Confidently work with large, complex, and imperfect datasets to deliver reliable analytical outpu
ionDevelop, maintain, and enhance interactive dashboards and reports using Power BI and Tableau, enabling the Compliance team to make informed, data-driven decisio
ticsWrite efficient and complex SQL queries and Python scripts to extract, transform, analyse, and automate data processes, supporting business reporting, advanced analytics, and AI-driven initiati
tionConduct detailed analytical investigations to identify trends, risks, operational inefficiencies, and opportunities for improvement. Present findings and recommendations clearly to both technical and non-technical stakehold
nancePromote high standards of data quality, consistency, and documentation. Support data governance processes by assisting with the triage and resolution of data governance issues raised through the Data Governance F