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    Hybrid Analyst - United Kingdom - Moog Inc.

    Moog Inc.
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    Description
    Experience job satisfaction in a performance culture that empowers and inspires

    The Business Intelligence Analyst will report into the Digital Services Manager but work closely with the Service, architecture and overall Transformation Office team on developing and implementing all the required data management and reporting / visualizations for the new way of looking at the business.

    They will be responsible for collecting and analysing data to identify trends and patterns that inform future business decisions.

    Their duties will include complex data modelling, designing data analysis methodologies and compiling reports to present to senior management.

    They will use the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals.

    They should be able to present, communicate and disseminate data appropriately and with high impact.

    They will work in partnership with the Analytics team to map, produce, transform and test new data feeds for data consumers, using tools and technologies already in use in the business area.

    They will contribute to ad hoc data exploration in common data serialization and storage formats used across the business for data consumers.

    They will work with the Analytics team and other analysts to integrate and separate data feeds in order to map, produce, transform and test scalable data products that meet user needs.

    They will liaise with internal and external stakeholders to identify areas of the business that could benefit from analysis
    They will ensure they are aware of and keeps up to date with advances in digital analytics tools and data manipulation products and collects, collates, cleanses, synthesizes and interprets data to derive meaningful and actionable insights

    They will handle analysis and data modeling design using data collected in our centralized data warehouse along with other data sources throughout the organization.

    It's a role that combines hard skills such as programming, data modeling, and statistics with soft skills such as communication, analytical thinking, and problem-solving.

    This role will be key to sharing thoughts and insights on the data to be able to make meaningful business change.

    They will translate data into valuable insights that inform decisions.
    Monitoring data quality and removing corrupt data
    Communicating with stakeholders to understand data content and business requirements
    Using data to predict trends in the customer base and the consumer population as a whole
    Higher level education – degree/diploma in computer science, business, mathematics, economics, statistics, management, accounting, or a related field.
    Data modelling, cleansing and enrichment. They can understand conceptual, logical and physical data modelling. They can develop knowledge of data cleansing and standardisation.
    Expert in Power BI - and able to support other users
    Some experience of SQL would be beneficial
    They can conduct data quality assurance, validation and linkage.

    They can interpret requirements and present data in a clear and compelling way, using graphical representations and data visualisations.

    Has a demonstrable understanding of how to expose data from systems and link data from multiple systems, they will also work with the wider team to understand, share and make use of different types of data models.

    Understands and can make use of different data tools for repeatable data processing and is able to compare different data models.

    Understand the laws surrounding the collecting and processing of data and ensuring that all policies reflect current legislation
    Understands data governance and how it works in relation to other organisational governance structures.
    They can demonstrate IT and mathematical skills through relevant qualifications or work experience.
    Logical and creative thinking. Must be fluent in English

    To be effective, the incumbent should be able to demonstrate an in-depth knowledge of Data sources, data organisation and storage in addition to an understanding of business issues within sales, purchasing, finance and manufacturing.

    A key project at the moment is our 80/20 programme.
    Specific 80/20 requirements will include but not be limited to the production and management of reports and analysis on
    Quartiles and quadrant analysis on customer and products for all the IG businesses
    Quartiles and quadrant analysis for suppliers and all parts for all the IG businesses
    Material margins analysis data
    Development of key operational data streams involved in the reshaping of operational metrics that align with 80/20 principles
    33 Days Annual Leave (including Bank Holidays).

    Benefits include Life Assurance, Company Pension Contribution beginning at 6%, and Employee Share Option in addition to an extensive Flexible Benefits Package, and Hybrid working arrangements.

    As part of our investment in our people, we make diversity, equity, and inclusion a priority.

    It is our core belief that if we take care of our employees, they will take care of our customers, partners, shareholders, and communities where we live and work.

    Working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

    Once you apply for a position with Moog your CV will be held on our central recruitment management database.

    Our company began in 1951 with Bill Moog's invention, the servo valve, a device which became the heart of high performance motion control systems.

    B) is a worldwide designer, manufacturer, and integrator of motion control parts and systems.
    Aircraft, Industrial, and Space and Defense.

    Our high-performance systems control military and commercial aircraft, satellites and space vehicles, launch vehicles, missiles, automated industrial machinery, and marine and medical equipment.

    What sets Moog apart is our commitment to creating high-performance solutions that solve our customers' most difficult technical challenges.
    Moog is a performance culture that empowers people to achieve great things.

    For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

    Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic.

    If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at


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