Data Engineer/Data Scientist

About the job

Qualifications:

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, Scrumban, and product management processes

Responsibilities:
The 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 the customer base and the 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 the expansion of the customer base, and ensure data is appropriately secured and accessible only by those who have a business need for the data

The 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 the expansion of analytic capabilities.

Desired Skills and Experience

TABLEAU