Data Analyst at Wakanow

Responsibilities

• Undertaking data collection, pre-processing and analysis
• Building models to address business problems
• Presenting information using data visualization techniques
• Identify valuable data sources and automate collection processes
• Undertake pre-processing of structured and unstructured data
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Responsible for cleansing of large unstructured data and enabling analytical capability in order to query the data and address various business needs.

KEY PERFORMANCE AREAS:

Education/ Professional  Qualification:

• Bachelors’ degree or minimum relevant degree
• Masters degree in a relevant field is an added advantage

Experience:

• Minimum of 5 years experience

KEY SKILLS & COMPETENCIES REQUIREMENTS:

Functional/ Technical:

• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Knowledge of Google Functions, Google Big Query, Google Cloud Storage, Stitch Data.
• Understanding of machine-learning and operations research
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Strong math skills (e.g. statistics, algebra)