Data Analyst III

The Data Solutions Architect serves as 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 Solutions Architect, 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 Governance and 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 the broader Enterprise Data & Analytics organizations Decision 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 from an accredited university 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 experience in technology and proficiency
• 4 years of experience leading large, complex/critical technology projects
• 4 years of experience influencing strategy for large organizations
• 2 years of experience in Data Modeling and Architecture

Preferred Qualifications
• 4 years of experience in data visualization techniques (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)

Work Best Category

Category C - Days in the office will either be designated days or will vary week to week from 2-5 days

Hours

8:00am - 5:00pm Monday - Friday. This position is hybrid and offers both onsite and remote work days.

Salary

To Be Determined Based on Individual Experience