Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related field.
6-10 years of experience as a Data Analyst or similar role.
Strong analytical skills with the ability to identify trends and patterns in data.
Proven experience with SQL for data extraction, transformation, and loading.
Expertise in Power BI for creating interactive dashboards and reports.
Experience with Python and Spark for data analysis
Experience with DataIKU (a plus).
SQL – must have
PowerBI – must have (Dax, powerquery, all the things that come with powerBI, low level security exp that is part of PowerBI - all things PowerBI – paginated reports and Dashboards to create a report)
Python – to be able to do basic standard python
Spark - to be able to do POCs to help articulate the requirements for the developers. (SQL and Spark – it’s to do the same thing, must have excellent SQL)
DataIKU – a strong plus for candidates to have, as it combines all the sql and spark and python together with the help of DataIKU - be willing to learn DataIKU if you don’t know it. It’s for data analysis. Bringing different data sets together.
Must know How different data sets join together. Its’s required for the job as a data analyst.
Data Warehouse
They use DB2 and Snowflake – but this doesn’t matter.