Senior Data Analysis Works directly with the client user community and business analysts to define and document data requirements for data integration and business intelligence applications.
Determines and documents data mapping rules for movement of medium to high complexity data between applications.
Adheres to and promotes the use of data administration standards.
Supports data selection, extraction, and cleansing for corporate applications, including data warehouse and data marts.
Creates and sustains processes, tools, and on-going support structures and processes.
Extracts and analyzes data from specific applications, systems and/or databases to create reports and provide recommendations based on the analysis of the data.
Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format, and function.
Creates and populates meta-data into repositories.
Create data models, including robust data definitions, which may be entity relationship-attribute models, star, or dimensional models.
Produce data flow diagrams and process models and integrates models across functional areas and platforms.
Works closely with Data Engineers, Data Designers and DBAs to transition logical models to physical implementation.
Responsible for employing data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis.
May also be responsible for quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance.
Highly execution focused; results oriented; independent and self-directed to drive task completion Effective in driving collaboration between disparate work groups Clear-thinking; a solid problem solver who knows not only how to answer a question, but identify whether the right question is being asked Persuasive and influential; strong presentation skills, credible in front of an executive audience Optimistic and positive; able to energize team members and business owners to tackle tough problems Intermediate to advanced knowledge of SQL, data visualization (PowerBI & Tableau), Excel / VBA Typically requires 5-7 years experience.
Technical Career Pathway (TCP) role.
Preferred Bachelors degree in Business, Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.
Persuasive and influential; strong presentation skills, credible in front of an executive audience Optimistic and positive; able to energize team members and business owners to tackle tough problems Intermediate to advanced knowledge of SQL, data visualization (PowerBI & Tableau), Excel / VBA Typically requires 5-7 years experience.
Technical Career Pathway (TCP) role.
Preferred Bachelors degree in Business, Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.
This is a remote position that can be located anywhere in the United States.
#LI-Remote Job Posting: Dec 2, 2021, 3:40:48 PMSchedule: Full-timeJob Level: Senior Associate/Second Level Manager