We are partnering with a global consulting firm focused on building engineering and data solutions spanning business intelligence, brand and direct marketing, customer engagement for over twenty years. Currently serving more than 150 clients globally they provide solutions by developing enterprise systems using several programming languages, tools and platforms. This can range from building data warehouses, to web applications to implementing reporting platforms. 

1. Responsibilities:
   • Gathering Business Requirements and System Specification from business users.
   • Translate business problems to an analytics problem, recommending and applying the most appropriate methods to yield insights and results
   • Identify & document data sources and transformation rules required to populate and maintain the data warehouse
   • Research and develop statistical learning models for data analysis
   • Develop and maintain new data sets and data pipelines thus ensuring data availability at all times Perform data validations and data quality checks to improve the reliability of the system
   • Prepare design and technical documentation that describes the project workflow and processes involved
   
   Required Skills:
   • 5 years of IT experience working in data engineering and analytics projects
   • Proficient in at least one or other language for applied to statistics, data analysis, or machine learning - Python, R, Matlab, SPSS
   • Strong data analysis, data verification and problem-solving abilities
   • Familiarity with cloud platforms such as Google Cloud Platform, Microsoft Azure, AWS, IBM Cloud to use/deploy analytics resources
   • Strong technical knowledge in data mining, reporting tools, and statistical analysis
   • Experience in applied analytics in space of sales, finance, marketing, or product engineering; track record of success
   • Effective spreadsheet modeling skills