Skills & Experience
Required
Background in finance, computer science, mathematics or similar quantitative field with a minimum of 5 years professional experience.
Exploratory data analysis and data visualization using R, Python, MatLab, Tableau and/or PowerBI.
Advanced Excel Skills
UX/UI Design Skills & Experience.
A sense of humor and an eagerness to learn
Preferred/Bonus
General programming language proficiency (Python, C++, Scala, Java, C#)
Frontend Languages and Frameworks (HTML, CSS, Javascript)
Design Prototyping with Adobe XD
Data munging and Extract Transform Load (ETL) automation experience
Experience with popular Cloud-scale Big Data, Data Integration, Data Analytics & Datawarehousing Platforms (Cosmos, Hadoop,
Spark/HDInsight, AWS DataPipeline, AWS EMR, ElasticSearch, Azure DataLake, Azure Databricks, Azure Data Factory, Azure Datawarehouse etc)
High proficiency in either SQL, Hive, Impala, U-SQL, SparkSQL, Google BigQuery
Ability to work as an end to end data analysts (e.g. requirements and data acquisition to model deployment)
