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    M&A Data Analyst - London, United Kingdom - Heinrich Göbel GmbH

    Heinrich Göbel GmbH
    Heinrich Göbel GmbH London, United Kingdom

    1 day ago

    Default job background
    Description

    The customer - LSEG (London Stock exchange group) is a leading global financial markets infrastructure and data group, also they are dedicated partners with a deep commitment to excellence, delivering value for their customers.

    They are leaders in data and analytics, risk, collateral and processing solutions, capital formation, and trade execution.

    With them, you get the level of influence and opportunity that you'd have at a startup, combined with the large-scale impact of working at a global company LSEG is a global organization spanning 70 countries and one rooted in a culture of growth, opportunity, diversity, and innovation, this is a place where everyone can grow, develop, and fulfill their potential with purposeful careers.

    Must-Have

    • Strong Logical & Physical Data Modelling experience.
    • Experience with Oracle RMB (Revenue Management and Billing), Oracle EBS (eBusiness Suite) and/or SAP ECC 6.Strong experience with Data modeling and analysis concepts to support Data Analytics and Reporting Requirements.
    • Should have functional / business knowledge of financial products.
    • Understanding of Data Governance concepts, including metadata management, master data management, and data quality.
    • Good proficiency in ABAP (Advanced Business Application Programming), PL/SQL, and Excel VBA.
    • Hands-on experience/fluency in SQL joins and ability to write complex SQL queries.
    • Experience handling products on different solution models (SaaS (Software as a Service), PaaS (Platform as a Service), managed service, etc.).
    • Experience working in financial services or similarly regulated organizations.
    • Preferred Experience/Skills
    • Experience working in financial services or similarly regulated organizations.
    • Experience of working in global organizations and sophisticated post-merger integration programs with significant business impact.
    • Experience in developing technology strategies, defining and supervising budgets, and leading teams to deliver in a service-focused environment.
    • Establishing connections to physical data repositories and ingesting data into a tool.
    • Data profiling to establish the quality of data and any gaps in data that are mandatory from the functional output or control perspective.
    • Input into process enhancement for gaps identified during data profiling to meet functional and or control outputs.
    • Create mock processes between source and target including but not limited to, the addition of reference data/or creation of master data for enrichment, creation of validation steps, data cleansing, creation of error reports, creation of validation reports, creation of control reports, creation of output data objects.
    • Creation of workflow tasks to production above mocked processes working with Technology and Finance colleagues.
    • Create and maintain data dashboards, and provide updates to stakeholders. #
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