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1 день назад

Analytics Analyst (Credit Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
SA
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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