Network Recruitment is a leading specialist recruitment agency and your first port of call for permanent and contract Finance jobs, IT jobs as well as Engineering jobs. Established in 1987, Network Recruitment has offered outstanding recruitment solutions to both clients and candidates for 25 years, living up to their credo of "Developing Relationships,...
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B.Sc in Mathematics, Economics, Computer Science, Information Management or Statistics.
Proven working experience as a Data Analyst or Business Data Analyst.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Adept at queries, report writing and presenting findings.
Self-starter.
Fintech experience is a huge advantage.
Understanding of the European SME market will also give you some extra points.
Job Description:
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Work with the SME Growth team to prioritize business and information needs.
Locate and define new process improvement opportunities.
Approach problems from first principles, using a variety of statistical and mathematical modelling techniques to research and understand customer behaviour.
Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated datasets that are easily used by the broader team.
Build and share data visualizations and self-serve dashboards for your team.
Effectively communicate your work with the team and cross-functional stakeholders on a regular basis.
Design and analyze A/B experiments to evaluate the impact of changes we make to the product.
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