Key Responsibility Areas

Core Functions:

o Understand each companies data sets
o Data architecture
o Analytics infrastructure architecture
o Data sourcing
o Data modelling
o Interactive data exploration and data-driven story-telling
o Machine Learning / Predictive Modelling / Data Mining
o Model productionisation from analysis to action
o Data quality assurance
o Data sensitivity and security
o Engagement with business to understand data sources, business models and value drivers
o Collaboration with business to deliver innovative data driven applications
o Communicate process, results and limitations to business
o Evangelise data in the Group

Competencies

The incumbent displays the following competencies:

• Ability to identify opportunities and capitalise on them
• Ability to Organise
• Ability to take initiative
• Ability to work under pressure and meet deadlines
• Accountability
• Achievement driven
• Attention to detail
• Effective communication skills
• Analysis
• Attention to detail
• Business approach
• Business knowledge
• Communication
• Conflict management
• Consulting
• Flexibility
• Information seeking
• Innovation
• Integrity
• Judgment
• Learning ability
• Managing complexity
• Resilience – stress tolerance
• Responsibility
• Self-management
• Sensitivity
• Teamwork
• Time management

Skills/Requirements

• Business planning & execution
• Demonstrates initiative with a results orientation
• Detailed, orientated and able to handle multiple tasks at one time
• Excellent written and verbal communications
• Good business acumen
• Good interpersonal skills
• Good organization skills
• High level Technical understanding
• Incumbent must have a good command of the English Language
• Incumbent must have a valid driver’s license
• Keen project management skills with an ability to interact with and motivate others to succeed on several fronts simultaneously
• Presentation skills
• Prioritizes workload and meets deadlines for a variety of marketing "deliverables"
• Problem solving skills
• Professional
• Results orientated
• Self-motivated and able to work as a member of a team
• Service orientated
• Strong analytical, technical and mathematical abilities
• Strong knowledge of business models
• Business process modeling

Education & Qualification

• Ph.D. or Master’s Degree in operations research, applied statistics, applied mathematics, physics, data mining, machine learning or a related quantitative discipline
• Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools.
• Fluent with both relational algebra and MapReduce logic.
• Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
• Accomplished in the use of statistical analysis environments such as R, scikit-learn, MLlib, MATLAB, SPSS or SAS
• Sound knowledge of business principles
• Familiar with tools that encourage reproducibility and collaboration; Jupyter, Zeppelin, RStudio, git
• Experience with enterprise BI; QlikView, Lumira, Tableau, Zoomdata, Cognos, SAP BW, SSRS, …
• Experience with enterprise ETL; SSIS, SAP DS, IBM DataStage, Pentaho, …
• Development experience in order of preference: Python, C/C++, Java
• Advanced Linux user.
• Microsoft Office; Word/Excel/Powerpoint/Outlook as well as modern collaboration tools (JIRA, splunk, Yammer, Confluence …)
• 5+ Years Business Analysis Experience