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  • Posted: Feb 13, 2020
    Deadline: Feb 26, 2020
  • Note: Never pay any money to any recruiter for any purpose (certificates, medical testing, interview, work kit or any other thing).
    PricewaterhouseCoopers (PwC) helps organisations and individuals create the value they’re looking for. We’re a network of firms in 157 countries with more than 184,000 people who are committed to delivering quality in assurance, tax and advisory services. Find out more by visiting us at In Africa we're the largest provider of prof...
    Read more about this company

    Data & Analytics Associate

    Reference Number: 125-NIG00216
    Department: Assurance
    Job type: Permanent

    Roles & Responsibilities

    • Analyze and interpret big volumes of data from client including internal data systems and external sources
    • Identify, investigate and explain trends and patterns in data using data tools, platforms and analytical tool kits
    • Translate complex findings into business terms and communicate to client
    • Develop strategies for analytics to build advanced data visualizations and analytical models
    • Moving analytics models from development to production.
    • Use machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting etc.).
    • Building machine learning models and systems, interpreting their output.
    • Builds and manage/maintain database to house data collected from various sources.
    • Researches best practices; develops implementation plan of operational and cost improvement strategies; assists in seeking, evaluating and implementing new technology.

    Preferred Skills:

    • Minimum of 1-2 years relevant experience
    • Demonstrates analytical abilities using Python, R;
    • Ability to use data storage technologies: SQL, NoSQL,;
    • Efficient use of data processing tools: R(dplyr, etc), Python (Numpy, Pandas, etc.), Spark,
    • Exhibit advanced analytics and machine learning capabilities using libraries in R and Python, TensorFlow, Keras, PyTorch, Spark MLlib;
    • Visualization: R-Shiny, Python (Matplotlib, Seaborn, bokeh, etc.), PowerBI, Qlik, Tableau;
    • Machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique.
    • Advanced Microsoft Excel skills required.

    General Skills:

    • Ability to communicate clearly with colleagues.
    • A proven track record of establishing and maintaining strong relationships.
    • A proactive approach to problem solving, delivering results and meeting client expectations.
    • Strong statistical and programming skills and technical depth.
    • Excellent written and oral communication skills (presentation & facilitation).
    • Demonstrable creativity and innovation.
    • Strong analytical and problem-solving capabilities
    • Ability to remain organized, driven, and focused on multiple projects at a time
    • Ability to use data visualization tools such as Tableau is a plus.

    Method of Application

  • Send your application

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