Requirement Details:
Job Title: Data Analyst III Location: Hybrid - Frisco, TX
Duration: Long Term
Contract Type: W2 Or 1099Job Description:
The Data Analyst III serves as a data functional lead on one or multiple data initiatives delivering business value through a range of data, information, and insight solutions. They are responsible for the quality of the data related deliverables on value delivery initiatives, including solution recommendations and overall design of data needs. They translate business needs into requirements and collaborate with Information Architects on conceptual and logical designs and consumption patterns to ensure usability and adherence to business requirements. The Data Analyst III, as the functional lead of a product/scrum team, is responsible for initiative adherence to applicable enterprise data governance policies, standards, and guidelines.
Position Responsibilities
Data Design
Designs and oversees the implementation of data value delivery solutions of varying degrees of complexity.
Collaborates with Data Product Management, Data Strategy, and IT to ensure ad hoc and point solutions adhere to technical and data architectural standards.
Ensures solution designs adhere to data governance policies, standards, and guidelines.
Provides recommendations and data design oversight of proposed solutions requiring integration of two or more domains of data.
Solution Delivery and Quality
Direct technical activities of product/scrum team resources (FTE and contractor) to ensure data solution quality on basic to complex solutions.
Delivers data pipeline, reporting and dashboard solutions of the highest complexity requiring the incorporation of insights and analysis to support fact-based decision making. Coordinates enterprise and information architect solution reviews to ensure adherence to architectural and data governance standards.
Collaborates with Decision Scientists to deploy visualization of models and statistical analysis to support business decision makers.
Solution Scalability
Collaborates with IT, Data Product Owners, Data Strategy, and other stakeholders to scale supported data solutions and products for reuse opportunities.
Recommends solution reuse to support rapid business decision support.
Extends existing solution functionality as needed to expand reuse opportunities.
Provides requirements to Data Strategy and project teams to support the expansion of key data assets for broad enterprise use.
Position Qualifications
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 queriers 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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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