(7 years of experience with a degree).
A big data analyst needs to be able to support the business and management with clear and insightful analyses on the data at hand. This includes:
Data mining skills (including data auditing, aggregation, validation and reconciliation).
Advanced modeling techniques (Top Down, Bottom Up or Combined).
Datawarehousing:
Testing and creating and explaining results in clear and concise reports.
The big data analyst should have a broad understanding and have experience with real-time analytics and business intelligent platforms such as Tableau Software.
He or she should be able to work with SQL databases and several programming languages and statistical software packages such as R, Java, MatLab or SPSS.
Good knowledge of working with Hadoop and MapReduce should be present.
Using scripting languages as a big data analyst should be able to develop new insights from the available data.
The testing skills of a big data analyst are particular important.
A big data analyst should be able to perform A/B testing based on different hypotheses to directly and indirectly impact different Key Performance Indicators.
In order to perform such tests as well as build the reports that senior management needs, a big data analyst should have certain business acumen. A big data analyst should know what drives an organization, which factors influence a company’s strategy and how the available data within an organization can contribute to the success of a strategy.
He or she needs to have a certain curiosity to dive into the available data and enjoy searching for patterns that could indicate new insights. They need to be confident and independent to use very large data sets and to come up with the questions that can help creating management reports.
Required to have a Bachelor’s Degree ranging from mathematics, statistics, and computer science to business administration, economics or finance.
In addition, a big data analyst should have the following capabilities:
Strong interpersonal, oral and written communication and presentation skills;Ability to communicate complex findings and ideas in plain languageBeing able to work in teams towards a shared goal;Ability to change direction quickly based on data analysis;Enjoying discovering and solving problems;Proactively seeking clarification of requirements and direction; take responsibility when needed;Being able to work in stressful situation when insights in (new) data sets is required quickly.The big data analyst supports the business and the big data scientist in delivering valuable insights. The big data analyst should therefore enjoy working with others and have the willingness to learn more. For each organization, a big data analyst will of course need different specialized skills, but in general the above-mentioned skills are a good starting point for finding the right big data analyst.