Data Insights Manager

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Job Description

 – Technical Specialist

      Reading, United Kingdom
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    Job Description

     

    Reading Scientific Services Ltd (RSSL) is a cutting-edge Contract Research Organisation (CRO), providing research, analysis and consultancy to the food and pharmaceutical sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 60 countries.

    In 2021, we’ve been recognised as Employer of the Year and Business of the Year at the Thames Valley Business Awards, and in past years have achieved OBN’s Best CRO and Women in Business Enlightened Employer.

    Enriched by our parent company Mondelēz International, our diverse team includes 23 nationalities from 300 members, creating a family feel as we strive towards our mission of “Science Enhancing Lives”.

    This is a fantastic opportunity to join RSSL in a significant growth area for our business.

    The successful candidate will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets.

    How you will contribute

    You will:

    • Analyze business requirements as a guide for data modeling and apply data analysis, design, modelling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
    • Advise on the details of data structures and associated components
    • Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
    • Have cross-functional understanding to create reusable data assets
    • Choose a suitable data modelling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
    • Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
    • Rationalize the relationships expressed in the logical data model to the schema of the physical data store (that is, database tables and columns)

    What you will bring

    A desire to drive your future and accelerate your career and the following experience and knowledge:

    • Extensive experience in data modeling in a large complex business with multiple systems
    • Ability to simplify complex problems and communicate them to a broad audience

     

     

    Company: Reading Scientific Services Limited

    #RSSL

    No Relocation support available, however for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy 

    Business Unit Summary

     

    Reading Scientific Services, Ltd. (RSSL) is a cutting-edge contract research organization (CRO), providing research, analysis and consultancy to the food and pharmaceutical sectors. Whether we are creating new products, validating medicines or solving investigations, we take pride in being a leader in our field, serving clients from across 60 countries.  

    We were recognized in 2019 as an Enlightened Employer, Women in Business and Thames Valley Tech finalists and in 2018, one of our family members earned the Food & Drink Federation’s Scientist of the Year. Enriched by our parent company, Mondelēz International, our diverse team of 300 includes 23 nationalities, creating a family feel as we strive toward our mission of “Science Enhancing Lives.”

     

    Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

     

     

    Job Type

     

    Regular 

     

    Data Science

    Analytics & Data Science

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