Data & Analytics Associate at PWC, Lagos- Nigeria

Data & Analytics Associate at PWC Nigeria

Department:

Assurance·

Job type:

Permanent

Closing date:

09-Aug-19

Location:

Lagos

Reference Number:

125-NIG00216

The Company

PricewaterhouseCooper (PwC) firms help organisations and individuals create the value they’re looking for. We’re a network of firms in 158 countries with more than 250,000 people who are committed to delivering quality in assurance, tax and advisory services. In Sub-Saharan Africa, we’re the largest provider of professional services with offices in 34 countries and over 9 000 people.

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