Creditsafe - One of the Sunday Times Top 100 Companies

About Creditsafe

Creditsafe is the world’s most-used provider of on-line company credit reports. Creditsafe supply business information to our customers to help them make better decisions, know who they are dealing with and protect their businesses from the threat of bad debt.

We sell our customers freedom access annual subscriptions that offer great value.

Creditsafe believes in being challenging, courageous and different, we were the pioneers in selling over the telephone and delivering our product on-line to drive down our customers’ costs and ensure up-to-the-minute data freshness.

Primary Responsibilities


bullet The assessment and remediation of data quality related issues; working with large and complex enterprise data models and large volumes of data.

bullet Using data analytics tools to perform queries and analyses and for defining and correlating data, organize and present summarizations, predictive analysis, comparative analysis, dashboards and reporting.

bullet Propose and manage data improvement solutions.

bullet Perform data mining and analytics to support ongoing continuous risk monitoring and risk assessments of operational or financial data to recognize patterns and trends, investigate anomalies, and assess internal control environment.

bullet Utilize data analysis by leveraging various statistical techniques, and predictive modelling to drive and identify indicators of risk.

bullet Drive efficiency by automation of manual auditing processes.

Knowledge & Skills Requirements

bullet 3 or more years experience with Oracle PL/SQL and managing databases.

bullet Superior Microsoft Office skills: Excel, Word, Access & PowerPoint and ability to learn software packages quickly.

bullet Strong knowledge of at least one of the following technologies: SQL, SAS, Microsoft SQL Server, Analysis Services, Reporting Service, HTML.

bullet Eagerness in learning all about the Business Information Industry.

bullet Experience developing data modelling tools and techniques.

bullet Knowledge of data warehouse, database design and data mining techniques.

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Regardless of organisation charts and reporting lines, we operate a flat management structure. A strict open door policy is followed and regular meetings update employees on how the company is progressing.

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