> Data & Integration Analyst (Business Intelligence)
> Reporting/Planning Data Analyst
> Analysts, Senior Analysts & Managers (Data Analytics)
> Data/ Insight Analyst
> Data Tracking and Analysis Specialist
> Data Analyst/Statistician
> Data Scientist
> Data And Analytics Consultant
> Data Engineers
> Business Intelligence/Data Analytics Consultant
> Big Data Platform Lead
> Cloud Support Engineer - Big Data
> Senior BI / Data Analytics Consultant
> Digital Analytics & Optimisation Specialist
What are the essential skills Big Data Analytics specialists must have?
A big data analyst needs to be very comfortable with coding. One of the main reasons for this requirement is the need to deal large complex datasets and unstructured data. The popular programming language are R, Python, Java, C++, Ruby, SQL, Hive, SAS, SPSS, MATLAB, Weka, Julia, Scala.
2) Data Warehousing
Experience with relational and non-relational database systems is a must. Examples of non-relational database include – Mysql, Oracle, DB2. Examples of non-relational database include – NoSql : Hbase, HDFS, MongoDB, CouchDB, Cassandra, Teradeta, etc.
3) Computational frameworks
A good understanding and familiarity with frameworks such as Apache Spark, Apache Storm, Apache Samza, Apache Flink and the classic MapReduce and Hadoop. These technologies help in Big Data processing which can be streamed to a great extent.
4) Quantitative Aptitude and Statistics
While the processing of Big Data requires extensive use of technology, fundamental to any analysis of data is good knowledge of Statistics and linear algebra. Statistics is a basic building block of data science and understanding of core concepts like summary statistics, probability distribution, random variables, Hypothesis testing framework is important if you are data scientist of any genre.
5) Business Knowledge
To keep the analysis focused, to validate, sort, relate, evaluate the data, the most critical skill of a big data scientist is to have a good knowledge of the domain one is working on. In fact, the reason big data analysts are so much in demand is that it is very rare to find candidates who have a thorough understanding of technical aspects, statistics and business.