Skills associated with being a data engineer data scientist
Must be well versed in data manipulation, data organization, and process improvement
Must have extensive knowledge of Tableau, creating metrics reports, and creating dashboards with proper data visualization
Must be proficient in Python, R, Spark and or Power Bi
Some experience using Git, GitHub and GitLab for code repository
Some knowledge of Hadoop and connecting setting up live Tableau dashboards
Some knowledge of AI Machine Learning
Some knowledge of RPA and how to automate processes, including automation of existing dashboard and reporting processes
Some knowledge of agile working processes, Scrum ban and product management processes
Part of gov risk and compliance team and this is part of that team that handle analytical part
Built a series of risk intelligence solutions do continuous monitoring
Look how collecting and pulling data and looking to
For example, in Tableau have 5- 6 steps on back end but want to automate with click of one button or on scheduled process instead of 5-6 steps
Experience with data organization and automation processes
Familiar with best practice and data load transform process
Tableau is a must
Automate backend processes
Responsibilities:
Contractor would be responsible for accomplishing the following objectives: Review and validate the current process, data management practices and data organization to ensure data is appropriately obtained, combined and protected within data repositories, published dashboards and reporting processes Automate the process where possible suggest using Python and or Tableau but are open to other tools as long as they are consistent with tools used in the FR; many data sources and or data refresh processes are manual looking to reduce the level of manual intervention to support analytic solutions Refine and modernize the current reports by creating a new look and feel that is sustainable and allows for the expansion of customers to be reported on. The idea is to utilize productivity gains from automation to offset the expansion of customer base and ability to use dashboards are the main reporting tool for our users Create documentation that describes the new processes end-to-end Create user access processes to support expansion of customer base, and ensure data is appropriately secured and accessible only by those who have a business need to the data Contractor must be able to work in small teams and be comfortable with knowledge sharing Risks Existing data sources are moving to new solutions which may impact the existing data collection, analysis and reporting processes. These processes will need to be updated as new solutions are implemented, and we will need to ensure updates enable automation as much as possible to further support expansion of analytic capabilities.