Data Analyst III

• Design and develop advanced enterprise-scale data analytics solutions to identify patterns and trends, analyze root cause, and improve data quality, consistency, and accessibility
• Build analytics solutions using current and emerging techniques to deliver client insights and enable data-informed decisions, efficiencies, and innovation
• Consult with business lines to understand objectives, key results, and solution requirements
• Design optimized enterprise data analytics solutions for client, market, product, and operational functions
• Develop and improve tabular models, analytics solutions, strategies, reporting, and visualizations
• Lead Data Engagement initiatives using dynamic reports and dashboards driven by universal tabular models
• Collaborate with technology teams to design and develop tabular models and data storage and access
• Build relationships with business line managers and partner with stakeholders to scope data engagement solutions
• Advise on data best practices, automation, technical capabilities, and efficiencies
• Provide technical leadership to technology team members on data analytics projects
• Support data governance, data literacy, and data stewardship initiatives
• Lead assigned data governance initiatives and key results
• Perform statistical and quantitative analysis to identify trends, patterns, and correlations
• Maintain knowledge of innovative data strategy and governance tools, industry best practices, data sources, platforms, models, and systems
• Follow company policies, compliance procedures, and required training

• Bachelor's degree plus six years of related work experience, or equivalent
• Experience building solutions using advanced analytics
• Experience working with financial data
• Research-oriented with strong analytical and problem-solving skills
• Ability to communicate the value of company data to leaders at all levels
• Experience leading solution development with multiple contributors
• Extensive experience with tabular data models
• Microsoft SQL Server experience
• T-SQL query writing
• DAX experience
• Data visualization using Microsoft's BI stack
• Understanding of relational and non-relational databases
• Microsoft Power BI Data Analyst Associate (PL-300) certification required; must be obtained within six months of hiring
• Knowledge of R or Python preferred
• Knowledge of Database, Data Engineering, Dev Ops, and API concepts
• Ability to comply with FBT policies, procedures, and compliance training

Demonstrates expertise in designing and developing enterprise-scale data analytics solutions, with a strong focus on tabular models, data visualization, and statistical analysis. Proven ability to lead data governance initiatives and collaborate with stakeholders to drive data-informed decision-making.

• Tabular Data Models
• Microsoft SQL Server
• T-SQL Query Writing
• Data Visualization Using Microsoft BI Stack
• Microsoft Power BI Data Analyst Associate (PL-300)

• Advanced Analytics Solutions
• Statistical Analysis
• Data Quality Improvement
• Root Cause Analysis
• Data Governance
• Data Literacy
• Data Stewardship
• Automation Best Practices
• Relational Databases
• Non-Relational Databases

• Analytical Skills
• Problem-Solving Skills
• Communication Skills
• Collaboration Skills
• Relationship Building

• Microsoft Power BI Data Analyst Associate (PL-300)

• Data Analytics
• Data Engagement
• Financial Data
• Data Strategy
• Compliance Procedures

• Microsoft Power BI
• DAX
• R
• Python
• Data Engineering Tools
• Dev Ops Concepts
• API Concepts