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Data Analyst III

4 weeks ago

Frisco, Texas, United States Saxon Global Full time
Job Summary:

The Data Analyst III at Saxon Global serves as a data functional lead on one or multiple data initiatives, delivering business value through data, information, and insight solutions. This role is responsible for the quality of data-related deliverables on value delivery initiatives, including solution recommendations and overall design of data needs.

Key Responsibilities:

  • Design and oversee the implementation of data value delivery solutions of varying degrees of complexity.
  • Collaborate with Data Product Management, Data Strategy, and IT to ensure ad hoc and point solutions adhere to technical and data architectural standards.
  • Ensure solution designs adhere to data governance policies, standards, and guidelines.
  • Provide recommendations and data design oversight of proposed solutions requiring integration of two or more domains of data.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Math, or other relevant technology degrees or High School diploma or GED and 10 years of progressively responsible experience.
  • 5 years of technology experience and proficiency.
  • 4 years of experience leading large, complex/critical technology projects.
  • 4 years of experience influencing strategy for large organizations.
  • 2 years of Data Modeling and Architecture experience.
  • 4 years of data visualization techniques experience (Power BI, Tableau).
  • 4 years of experience with Microsoft Office and expanded product lines (Visio, MS Project, SharePoint).
  • 3 years of experience documenting and assisting product owners with creating data and business requirements.
  • 3 years of experience in banking or related financial industries.
  • Proficiency in data profiling, statistical analysis, data analysis, and data standardization/cleansing techniques.
  • Strong SQL skills with the ability to write sophisticated queries across large, complex data sets.
  • Experience using statistical techniques to discover the root cause of data quality issues and recommend remediation options.
  • Ability to analyze data trends, identify patterns, and proactively address potential data quality issues.
  • Experience with Collibra, Informatica, and Snowflake (Python, R is a plus).