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Our data assets, technology, and analytics transform knowledge into insights that power better decisions. This knowledge enables our customers to make better business decisions and consumers to progress towards a better life.   

As an innovative global information solutions company that enables access to credit, we’re part of breakthrough collaborations and innovations that address complex social challenges such as social welfare, community relations and financial education for underprivileged youth. We establish relationships that create economically healthy communities.

We help individuals gain financial independence by increasing access to capital and micro-lending for small businesses. And we provide young adults entering college or university with financial education tools. 

Every day, around the globe, we are Powering the World with Knowledge.

The Data Analyst (DA) as part of the Data Quality & Linking team plays a key role in the day to day managment of Equifax's core data assets developed to support our product offering to the market. Data Analyst will closely work with product, sales, IT team within Data & Analytics to drive data quality and coverage of each of the data asset be market leading.

The DA will perform in-depth analysis to drive data quality improvements of their allocated data assets in alignment with the product team's strategic recommendations. The DA will also assist in the migration of Equifax's core data assets as the business undergoes a multi-year transformation project to standardize how data is managed.

The Analytic Development team builds predictive models and attributes using Equifax’s data assets in a distributed computing big data environment. These cover the consumer and commercial credit lifecycle, geodemographic and marketing attributes, credit ratings and fraud models, as well as any new areas where data-driven decision making can be informed by predictive modeling.

Working with senior Analytics team members and with relevant Product areas to define scope and business problems, this role will work on key development projects, often using new data sources in building the solution. From logistic regression to more advanced machine learning techniques, Analysts are expected to develop a toolkit of modeling methodologies for rapid and accurate insight. 

This position allows the successful incumbent to develop deep technical and broad commercial skills by being exposed to, and working on a wide variety of internal projects.  

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