Data & Analytics Senior Associate at PricewaterhouseCoopers (PwC)

Reference Number: 125-NIG00242
Location: Lagos
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, image classification, etc.).
• Building machine learning models and systems, interpreting their output.
• Demonstrate leadership potential by coordinating project teams and testing their work for quality in line with defined standards.
• Serve as team lead on Analytics projects.
• Provide coaching to junior staff or less experienced team members to develop technical competence and administrative skills
• Provide research assistance for strategic planning and business development efforts
• Use data visualization skills and tools to analyze, package and communicate reports to key stakeholders, both internally and to external clients
• Help develop internal processes and lead the analytic group in the management of projects and resources
• Support in identifying new opportunities for service delivery.

Requirements

• Minimum Degree Required: Bachelor's degree in Engineering, Economics, Statistics, Mathematics, Computer Science, Informatics, Operations Research, or other quantitative disciplines.
• Minimum of 3-5 years 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 advance 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 and senior clients.
• 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.
• Project management skills - ability to manage across multiple and complex projects.
• 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.