1 день назад
Analytics Analyst (Credit Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Analyst (Credit Analytics) (Python, SQL, Power BI): Delivering analytics projects and credit-data solutions, including bureau and bespoke attribute development, reports, dashboards, and monitoring packs with an accent on data quality, validation, and client-focused insights. Focus on extracting and transforming data from multiple sources, optimizing analytical processes, developing attributes, and supporting complex business and stakeholder requirements.
Location: Johannesburg, South Africa; hybrid work
Company
is a global data and technology company that delivers credit, financial, and analytical solutions across multiple industries.
What you will do
- Execute data analytics projects aligned with business objectives.
- Develop, maintain, and enhance bureau and bespoke client attributes.
- Extract, transform, validate, and analyse data from multiple sources.
- Build analytical solutions, benchmark reports, dashboards, and monitoring packs.
- Improve data processes, quality controls, validation, and testing to reduce errors and rework.
- Support client queries, proposals, presentations, and analytics-driven revenue opportunities.
Requirements
- Degree or equivalent qualification in mathematics, statistics, economics, physical sciences, engineering, actuarial science, or another highly quantitative field.
- Minimum of 4 years of experience in data analysis, analytics, or a related field.
- Strong knowledge of the credit industry and credit lifecycle.
- Proven Python experience; knowledge of data analysis, data quality management, and attribute development.
- Experience building reports and dashboards, such as Power BI solutions.
- Experience in credit, financial services, bureau environments, analytical products, or client-facing solutions.
Nice to have
- Experience with SAS, SQL, and GitHub.
- Experience with consumer and business bureau data.
- Knowledge of databases, data warehousing, ETL processes, big data frameworks, cloud platforms, and machine learning concepts.
Culture & Benefits
- Collaborative work with cross-functional stakeholders and client-facing teams.
- Opportunities to support junior analysts and contribute to knowledge sharing.
- Access to professional development through an agreed personal development plan.
- Work within an inclusive, purpose-driven, and people-first culture.
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