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Senior Data Analytics & Insight Consultant

  • Location:

    Manchester

  • Sector:

    Transformation & Change Management

  • Job type:

    Permanent

  • Salary:

    Up to £45000 per annum + car, pension, bonus

  • Contact:

    Damian Shaw

  • Contact email:

    Damian.Shaw@oliverjames.com

  • Job ref:

    JOB-082023-221206_1698058646

  • Published:

    15 giorni fa

  • Expiry date:

    2023-11-22

  • Startdate:

    ASAP

Our client is a true global leader is business consultancy and professional services. Their most profitable and high-growth area sits within the ever-evolving digital audit business, which is the clear global market-leader.

As ever, the demand for data analytics & insight talent for this business unit is high

Our client is a true global leader is business consultancy and professional services. Their most profitable and high-growth area sits within the ever-evolving digital audit business, which is the clear global market-leader.

As ever, the demand for data analytics & insight talent for this business unit is high.

Currently, our client wishes to see Manchester or London talent within this area - to work on a hybrid basis - paying c£45,000.

Ideally, you will carry 2-5 years' experience within a data analytics capacity in a commercial environment.

Key drivers of the role:-

  • Data transformation and modelling (e.g. pandas and scikit-learn in Python);

  • Data storage and querying (e.g. SQL, Alteryx, Python);

  • Data visualisation experience (eg PowerBI, Tableau)

  • Understanding of common data quality issues and they effect they have on machine learning models;

  • Data cleansing and manipulation for machine learning (e.g. feature engineering);

  • Knowledge of the current data science software platforms.

To be successful in this role you will need to demonstrate the following:

  • The ability to come up with creative solutions to complex problems;

  • Experience working and leading a team and on listed/multinational clients

  • Exceptional analytical and technical aptitude;

  • Exceptional attention to detail;

  • The ability to manage time, prioritise tasks and work under tight deadlines;

  • Ability to coach and support team members;

  • Concise and clear communication when presenting and explaining results and findings.

  • Client relationship-building and management skills

  • Experience in working in complex environments

  • Experience in coaching junior colleagues and an interest in developing others

  • 2:1 university degree in any subject (or equivilent) with an interest in data analytics, machine learning, data science, data mining & coding

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