BI Data Analyst

Key Skills

Algorithms, Apache Hadoop, Apache Hive, Big Data Technology, Data Analytics, Data science techniques, Effective communication skills, Large data sets, Machine learning techniques, MapReduce

Job Description

What will you be doing?

• Interact with internal and client teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources.
• Work with massive and complex data sets from multiple sources, utilising big data tools and techniques to analyse, provide insight and validate hypotheses.
• Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates.
• Translating analytical insights into concrete, actionable recommendations for business, process or product improvements.
• Making recommendations for the collection of new data or the refinement of existing data sources and storage.
• Collaborate with subject matter experts to deliver and solve real-world engineering problems with ML and data science.
• Collaborate across the business to influence change and bring ideas to life.
• Create solutions that will benefit the wider community.
• Contribute to creating a more sustainable future.

What we'll love about you

• Minimum Educational Qualification- Engineering Graduate
• 1 - 5 years' experience in a data science environment (experience may be corporate, research/government or academia)
• Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources.
• Passion for empirical research and for answering hard questions with data.
• Knowledge of analytical tools and big data technologies (Map/Reduce, Hadoop, Hive, etc).
• Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Flexible analytical approach that allows for results at varying levels of precision.
• Solid understanding and experience with programming logic and various paradigms.
• Good Communication Skills