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    Senior Manager Data Manager - London, United Kingdom - Pay Limited

    Pay Limited
    Pay Limited London, United Kingdom

    3 weeks ago

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    Description
    Data Manager - Engineering, London, Permanent

    This is a great opportunity for a hands-on Data Manager to lead and inspire a team of Data Analysts & Engineers at Pay.

    UK, a critical national infrastructure - the Data Manager role is accountable for the production of BAU Strategic and Operational reports in PowerBI , Qlik, Excel etc.

    for internal and external stakeholders including regulators.

    Operating as a D&A SME, this role is instrumental in supporting the Head of D&A in implementing the Data strategy , Data policy development, D&A brand development, recruitment and procurement .

    The post holder will also be accountable for the maintenance of databases, business applications and web-based data collection portal , whilst o verseeing the migration of legacy applications to cloud based solutions.

    This is in addition to m anag ing data integrity along with overall responsibility for data system s and user management .

    Key Accountabilities


    Technical:
    Leads the e stablish ment , develop ment and introduc tion of new reporting solutions, including self-service data reporting and analytical tools adopted across the business , providing advice and guidance as relevant
    Leads the development, and use, of available IT tools to extract and present data as required , and manages the development of systems, tools and techniques to improve reporting and analysis

    Provides oversight to ensure the end to end data and information strategy is effectively managed, including defini tion of the data requirements to support the business and ecosystem.

    Ensures the relevant MI and data policies, processes, governance and tools are updated, and to agreed standards, to deliver data requirements

    Oversees the e stablish ment of the framework, processes and systems required to provide a central view of data that allows Pay.


    UKto 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.

    UKprovided services
    Oversees the e stablish ment of Data marts/lakes – centralised data model in place with day to day management of the operation of the data technology framework
    Oversees the e stablish ment, and develop ment, of a federated data access model across Pay.

    UKand the wider ecosystem including federated Reporting and Analytics framework.


    Operational:

    Contribute to the development of, and apply data strategy, including developing and maintaining associated Data Policies that enable Pay.


    UKstrategy and ecosystem needs ( GDPR ), and drive commercial opportunities that may arise from data exploitation

    Oversees the production of regular management information (MI) reports and publications, together with detailed analys i s and presentations (where relevant) and as required by internal and external Pay.


    UKstakeholders
    Ensures standardization across the regular MI reports and publications, where relevant, in respect of reporting terminology, and compliance with data definitions, to provide a consistent message across the statistics and guidance notes published
    Leads the establishment, development and introduction of self-service reporting and analytical tools adopted across the business, providing advice and guidance as relevant

    Support the management team in transformation activities to create a centre of excellence for Data and Analytics at Pay.


    UK

    Analytical:

    Design and build reporting and analytics dashboards on BI Tools that track key metrics and provide actionable insights e.g.

    Power BI, R Studio

    Oversees the production of ad-hoc reports and publications, together with detailed analyses and presentations (where relevant), as required for a wide range of Pay.


    UKstakeholders
    Leads the provision of Payments ecosystem insight to support strategic decision making
    Ensures the provision of high quality quantitative analysis to support Pay.

    UKstrategy along with evaluation of proposals and projects , facilitating effective liais on with Pay.

    UKDirectorates and stakeholders regarding the content and timing of the analysis
    Provides key input to the Information Strategy and the understanding Pay.

    UKbusiness requirements including translating the strategy into information needs
    Oversees sourcing and integration of external data to ensur e data integrity
    Leads, facilitates and presents at Pay.

    UKbusiness and stakeholder meetings, as required
    Qualifications, Skills & Experience
    Experience of leading and managing BAU team of Data Engineers and Data Analysts including day to day delivery management, line management and supporting L&D activities
    Extensive knowledge and experience working with MS SQL databases both on premise and cloud MS AZURE, including design, modelling and architecture up to DBA level
    Extensive knowledge of data tools and programming languages e.g. Python, DAX, R, M , VBA, SQL Stack - SSMS, SSIS, SSAS, SSRS, etc .
    Good experience with Data Visualisation tools including Power BI, Qlik, Tableau, etc.
    Experience with graphical development tools such as Data Flows, Ab Initio, Power Apps
    Experience with DevOps software engineering practices and methodologies including collaborative tools and platforms
    Managing migration of legacy applications in VBA, ASP.Net to cloud based solutions
    Knowledge of Data Architecture principles e.g. TOGAF
    Third party vendor management
    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
    Ability to anticipate and identify potential risks, limitations as well as opportunities, related to MI activities
    Data monetisation
    Solution oriented with bias for action and a pragmatic attitude
    #J-18808-Ljbffr
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