Have 5 years of professional experience as a Data Analyst mining large scale data and transform data points to knowledge.
Must be hands-on on data analysis tools and frameworks such as Hive, Spark SQL or Python to analyze any amount of data to both solve business requirements and feed in to engineering team to build data transformations.
Familiar with technologies relevant to the data such as OLAP databases and visualization tools such as Tableau or Looker or similar
Extensive big data analysis and come up with logic to build analytical dimensions and metrics using Hive, Spark QL or Scripting Languages such as Python
Collects and documents requirements and processes
Document requirements and manages validation process
Performing ad hoc analysis, interpreting and communicating results in a clear manner
Work with engineering team to automate daily monitoring of models in production , help troubleshoot issues and make necessary improvements as needed.
Processing, cleansing and verifying the integrity of data used for analysis
Cleary communicate design & development strategies to all stake holders, educate them as and when needed.
Establishes, supports and maintains standards of the analytics and data analytics process
General understanding of databases (MySQL, SQL Server & Snowflake)
General understanding of reporting solutions (Tableau, PowerBI, Looker, …)