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  • Posted: Jul 26, 2021
    Deadline: Not specified
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  • Imperial Logistics is a mainly African and European logistics provider of outsourced integrated value-add logistics, supply chain management and route-to-market solutions - customised to ensure the relevance and competitiveness of our clients. With established capabilities in transportation, warehousing, distribution and synchronisation management and expand...
    Read more about this company

     

    Data Analyst - Mid Level - Data & Insights

    About the job

    • Imperial is an African and European-focused provider of integrated market access and logistics solutions. With a focus on five key industries -healthcare, consumer, automotive, chemicals and industrial - we take our clients’ products to some of the fastest growing and most challenging markets in the world.
    • Ranked among the top 30 global logistics providers and listed on the JSE in South Africa, we seek out and leverage new technology to deliver innovative, end-to-end solutions.
    • Through our significant African footprint and international expertise, and with the support of our 25 000 people, Imperial’s purpose is to connect Africa and the world - and to improve people’s lives with access to quality products and services.

    Job Function:

    The delivery of reliable, on-time, efficient & high-quality data analytics solutions and professional services that will enable Imperial to make faster and more informed decisions based on insights generated from this capability.


    Key Requirements:

    Support:

    • The team to achieve joint targets and deliverables
    • Reliable, On-Time, Efficient & Quality Delivery as per the chosen process & tooling
    • Mitigation plans are in place for work items that are not going to be delivered according to the estimated timeline
    • Insights are always rigorously tested and approved before releasing to D&IT and Imperial
       

    People & Culture:

    • Build and maintain a healthy working relationship within the team
    • Actively participate and contribute to continuous knowledge sharing initiatives
    • Actively participate and contribute to continuous improvement initiatives
       

    Process and delivery:

    • Reliably deliver on your sprint backlog
    • Ensure efficiency through accurate work estimates and completion of work against estimates as per sprint plan
    • Ensure quality of deliverables.
    • Ensure processes & tooling are used effectively
       

    Technology and standards (Where applicable):

    • Define, document and communicate design patterns
    • Ensure the definition, documentation and communication of solution designs before implementation
    • Ensure as-built documentation is done according to standards, and is continuously updated to ensure accuracy
    • Ensure that work is completed against the agreed Definition of Done
    • Ensure the WIKI is updated for content correctness and structure
    • Adhere to source code management practices
    • Adhere to quality assurance practices
       

    Adhere to:

    • All corporate governance, processes, procedures and statuary, legal and other requirements

    Minimum Qualifications:

    • Relevant BSc, BCom, BEng (Essential/Minimum)
       

    Minimum Experience:

    • 3 – 7 years in Business Intelligence/Data Analytics/Data Science/Modelling/Statistics
    • Programming and statistical computer languages (R, Python , SQL, etc.)
    • Working knowledge of Business Intelligence principles & best practices

    Behavioral Competencies:

    • Client centricity
    • Improvement orientation
    • Interpersonal effectiveness
    • Deciding and Initiating Action
    • Adapting and Responding to Change
    • Coping with Pressures and Setbacks
    • Presenting and Communicating Information
    • Relating and Networking
    • Adhering to Principles and Values

    Technical Competencies:

    • Excellent analytical and problem-solving skills
    • Strong communication skills
    • Strong relationship building skills
    • Excellent planning, time management and organisational skills
    • Knowledge of statistical modelling and data mining techniques i.e. Regression, Random Forest , Boosting, Trees, text mining, social network analysis etc.
    • Querying databases using statistical computer languages i.e. R, Python, SQL, etc.
    • Knowledge of machine learning algorithms

    Method of Application

    Interested and qualified? Go to Imperial Logistics on www.linkedin.com to apply

    Note: Never pay for any training, certificate, assessment, or testing to the recruiter.

  • Send your application

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