Data Modeler

Agama Solutions•Plano, TX

1d•Hybrid

About The Position

The Data Modeler will serve as a technical data developer and analyst with data architecture exposure. This hybrid role requires strong analytics and communication skills, with the ability to drive diverse groups towards common goals and clearly articulate problems and proposed solutions. The ideal candidate can balance the need to deliver multiple concurrent projects while maintaining architectural standards. Responsibilities include designing conceptual, logical, and physical data models to support analytic data requirements for various department reporting needs, performing strong data analysis, and utilizing data visualization tools. The role involves creating documentation for all activities, working with technology staff on system design for developed models, and improving/streamlining processes related to data flow and data quality to enhance data accuracy, viability, and value. The position also challenges data and information integrity, involves Operational Data Store modeling, design, and development, and requires data mining and producing novel reports for management. Advanced Excel skills with pivots and graphs are necessary. Candidates must possess advanced problem-solving skills, the ability to analyze complex data, advanced data visualization skills, a willingness to self-learn, and effective verbal and written communication abilities. They should thrive in a supportive and transparent team environment while being capable of independent research and issue resolution. Good communication skills and the ability to engage and influence teams across technology and business are essential.

Requirements

Experience as a technical data developer and analyst with data architecture exposure.
Strong analytics and communication skills.
Ability to drive diverse groups towards common goals and clearly articulate both problems and proposed solutions.
Ability to balance the need to deliver multiple concurrent projects while maintaining architectural standards.
Experience in Oracle PL/SQL.
Experience in ETL.
Experience in Oracle Data Warehouse with large amounts of data.
Experience in Tableau.
Experience in Agile/Scrum delivery models.
Strong data analysis experience.
Experience in data visualization tools.
Strong Excel Skills with pivots and graphs.
Advanced problem-solving skills.
Ability to analyze complex data.
Advanced data visualization skills.
Willingness to self-learn.
Ability to communicate verbally effectively and concisely and in written/presentation format.
Ability to research and resolve issues independently.
Good communication skills.
Ability to engage and influence teams across technology and the business.

Responsibilities

Design conceptual, logical, and physical data models to support analytic data requirements for various department reporting needs.
Perform strong data analysis.
Utilize data visualization tools.
Create documentation for all activities.
Work with technology staff in the design of any system to run models developed.
Improve and streamline processes regarding data flow and data quality to improve data accuracy, viability, and value.
Challenge data and information integrity.
Operational Data Store modeling, design, and development.
Data mining and producing novel reports for management.
Create pivots and graphs in Excel.