Data Analyst Job Available at Wakanow
Data Analyst at Wakanow
Wakanow is Africa’s leading, full-service online travel company. At Wakanow, we understand that everyone likes easy and affordable travel services, so we provide our customers with a one-stop booking portal for Flights, Hotels, Visa Assistance, Holiday Packages, Airport Transfers, an international Travel SIM, a Prepaid Travel Card, a Loyalty program, and much more.
They are recruiting to fill the position below:
Job Title: Data Analyst
Location: Lagos, Nigeria
Purpose of Job
The Data Analyst is responsible for identifying business trends and changes through advanced Big Data Analytics and using a variety of techniques to interpret results from multiple data sources through statistical analysis, data aggregation, and data mining.
Undertaking data collection, pre-processing and analysis
Building models to address business problems
Presenting information using data visualization techniques
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.
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
Education / Professional Qualification and Experience
Bachelor’s degree or minimum relevant degree
Master’s Degree in a relevant field is an added advantage
Minimum of 5 years experience
Key Skills & Competencies Requirements:
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Strong math skills (e.g. statistics, algebra).
Knowledge of Google Functions, Google Big Query, Google Cloud Storage, Stitch Data.
Understanding of machine-learning and operations research
How to Apply
Interested and qualified candidates should:
Click here to apply