KEY RESPONSABILITIES

• Interpret data, analyse results and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that
• Optimize statistical efficiency and quality.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

PROFESSIONAL QUALIFICATIONS & SKILLS

Must have:

• Technical expertise regarding data models, database design development and data mining.
• Strong knowledge of and experience with reporting packages (OBIEE is a plus), databases (Oracle), programming (ETL scripts OraclePL/SQL is a must)
• Scripting Languages (R or Python) and ability to learn new coding languages and programs
• Knowledge of statistics and experience using statistical packages for analysing datasets
• Adept at queries, report writing and presenting findings
• Hands on with “can do” attitude

Desirable:

• Software development principles (design patterns,)
• Understanding of machine learning techniques and algorithms (k-NN, Naive Bayes, SVM, Decision Forests,…)
• Knowledge of Big Data Processing Platforms: Hadoop, Spark, Flink, etc
• Visualization tools ( Desirable Qlik Sense or Microstrategy)
• Agile methodologies
• Platform experience, JIRA, Confluence