Tableau/ETL Consultant (Remote, but must spend 1 week onsite per year at Albany, NY)

Webcam interview; long term project; initial PO for 1 year with multiyear extensions  Remote but must spend 1 week onsite per year at Albany NY

 Extract Transform Load (“ETL”) Developer/Data Warehouse Architect (a “Consultant”) to assist with its ongoing data analytics initiative  - development of an analytics data warehouse based on a formally architected framework to build an environment for OSC examiners, auditors, and analytics staff to fully realize the benefits of business intelligence and data analytics tools. OSC requires the services of the Consultant to assist with these efforts.

STATEMENT OF WORK

The Consultant shall assist the Division with the build-out of the current OSC environment for both infrastructure and tools as they relate to data analytics and the necessary supporting technologies, such as data warehousing, business intelligence, statistical analysis, and data exchanges with external agencies/entities. Tasks include: Reviewing and analyzing existing data analytics ETL processes as well as external sources in order to design and architect a system communicating this information to Division staff and other OSC staff as necessary; Assisting with the implementation of data analytics architecture design to accept    structured and unstructured datasets as they are acquired through the Division;

• Assisting with the implementation and migration of ETL environments, including fact and dimensional models as defined through user story business requirements;
• Assisting in Tableau/Oracle Business Intelligence Enterprise Edition (“OBIEE”) dashboard design as defined by user story business requirements;
• Assisting with ETL processes of newly identified/acquired data into OSC’s secure data analytics environment; and
• Providing other data analytics development services as requested.

MINIMUM QUALIFICATIONS

The Consultant must possess the following minimum qualifications. The proposed candidate must have:

1.   either a)a bachelor of science degree, or equivalent four-year degree, in computer science or related information technology field or b) a masters or doctorate in computer science or related information technology field;
   2.    a minimum of four years of experience developing and maintaining a data interchange system interfacing with a wide array of varying  data sets including flat file, direct database connection, and eXtensible Markup Language transactions;
   3.    a minimum of four years of experience working with ETL tools (e.g., Qlik and Informatica); 
   4.    a minimum of four years of experience performing data modeling;
   5.    a minimum of four years of experience developing a data analytics ETL environment to support data analytics; and
   6.    a minimum of four years of experience coding in Structured Query Language (“SQL”).

Other Skills

1.  experience scripting in Python; 
   2.  experience in Tableau Server Administration;
   3.  experience working with customers in data validation, troubleshooting, or collecting business requirements;
   4.  two or more satisfactorily completed statistics courses from an accredited college or one or more year of professional experience using statistics preferred
2. experience performing database development using SQL or Procedural Language/Structured Query Language (“PL/SQL”);
   6. experience developing a data analytics ETL environment to support Tableau visualizations; and 
   7.  experience using ETL techniques to support a data analytics program for a government entity.