Data Analyst
2 weeks ago
Data Analyst, London, Permanent, Hybrid (office based 2 days a week)
Manage Pay.UK management information (MI), both operational and analytical, and associated data analysis processes and procedures, including the production of regular and ad-hoc MI reports and MI dashboard updates on a timely basis. Provide quantitative analysis in support of Pay.UK strategy and development initiatives.
Key Accountabilities
Operational:
- Manages regular data collection from participants, vendors, third parties at agreed frequency
- Regular engagement with key internal and external stakeholders on BAU activities
- Manages, and is responsible for, the production of regular management information (MI) reports and publications, together with detailed analyses and presentations
- Provides knowledge and insight of current and future business performance and trends for the Schemes by producing volume forecasting reports to facilitate effective business planning and capacity management
- Contributes to continuous efficiency and effectiveness improvements through enablement of fact-based decision making. Explores, validates and manages information management sources, using independent resources, where
- Supports the business areas with the development of required MI dashboards and frameworks ensuring they are fit for purpose, providing expertise to foster the best
- Establishes, develops and introduces self-service reporting and analytical tools adopted across the
Analytical:
- Data preparation. Cleaning, validating transforming the data to ensure accuracy, completeness, uniformity and suitability for analysis
- Designing and building reporting and analytics dashboards on BI Tools that track key metrics and provide actionable insights e.g. Power BI, R Studio
- Completes the gathering, analysis, evaluation and manipulation of a wide range of internal and external data to produce informative
- reports and publications.
- Proactively seeks trends in fraud MI, where appropriate, and ensures these are effectively communicated to the relevant
- Provides Payments ecosystem insight to support strategic decision making.
- Contributes to the data strategy including developing and maintaining of Data Policies that enable Pay.UK strategy and ecosystem needs (GDPR).
- Develops and uses available IT tools to extract and present data as required, and is actively involved in the development of systems, tools and techniques to improve reporting and analysis.
- Where required, undertakes data loads and data and user administration, along with responsibility for the administration of the systems and databases; ensures timely updates to reference data, as relevant, and contacts information across the various data repositories.
- Ensures sourcing and integration of external data to ensuring data integrity.
- Implements the data visualisation standards and ensures data policies, processes, governance and tools are updated to agreed standards, to deliver data requirements.
- Contributes to the establishment of the framework, processes and systems required to provide a central view of data that allows Pay.UK to run and improve the business with the strategy and governance that goes with this. This includes the development of a granular understanding of transaction and performance data for Pay.UK provided services.
- Contributes to the establishment of the capability to undertake neural network / pattern analysis to proactively identify issues or trends.
- Supports, facilitates and presents at Pay.UK business and stakeholder meetings, as required.
- Supports and advises colleagues on the use of data to ensure that statistics are not taken out of context, or misunderstood in terms of their nature and composition.
Skills, Experience & Qualifications
- Good knowledge and experience working with Power BI.
- Good knowledge and experience working with databases, including modelling and architecture e.g. SQL Server, Oracle.
- Good understanding DAX creating measures and time intelligence
- Proven track record and/or project experience of data analysis, modelling and management
- Strong experience with data manipulation using analysis, modelling and reporting
- Knowledge of the Financial Services / Retail Payments market is desirable
- Experience with Cloud environments is beneficial.
- Professional qualification preferred but not compulsory.
- Recognised capability in establishing, developing and implementing data management and data analytics practice area or function operating as a centre of expertise
- Excellent stakeholder management skills coupled with the ability to quickly understand stakeholder needs and define and ensure the implementation of corresponding actions
- Solution oriented with bias for action and a pragmatic attitude
- Ability to anticipate and identify potential risks, limitations as well as opportunities, related to MI activities
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