DATA ARCHITECT

The Data Architect is a critical founding role responsible for transforming Mocse's data from a fragmented resource into a strategic asset. Data Access & Reporting • Automated Reporting & Analytics • Design, develop, and automate reports that deliver critical information to operational groups and provide analytics and KPIs for leadership • Reduce report turnaround times and enable self-service access to data • Create and maintain dashboards for executives, department heads, and business users • Establish refresh schedules and monitoring procedures for all reporting • Migrate and optimize reports as systems and platforms evolve • Data Integration & Management • Integrate disparate data sources across multiple database platforms (core banking, lending platform, digital platform, card systems) • Create direct connections to source systems and build automated data pipelines • Design standardized data models for member, account, and transaction entities • Determine appropriate software tools based on assignment goals • Document all transformations, data lineage, and business rules Preferred Technical Skills • Experience with Python, R, or SAS for statistical analysis and predictive modeling • Familiarity with cloud-based analytics platforms (AWS, Azure, Snowflake, or similar) • Knowledge of ETL/ELT processes and tools • Understanding of data governance frameworks and master data management • Experience with machine learning and predictive analytics Core Competencies • Self-starter mentality - Ability to work independently with minimal supervision and take ownership of deliverables • Excellent communication skills - Written, oral, and presentation abilities to communicate complex data insights to non-technical stakeholders • Analytical and problem-solving skills - Ability to identify root causes, spot trends, and recommend actionable solutions • Project management capability - Strong organizational skills, ability to prioritize competing demands, and deliver results • Attention to detail - Work accurately with close attention to data quality and report accuracy • Adaptability and experimentation mindset - Comfortable with ambiguity, excited by experimentation, and able to pivot quickly based on business needs • Collaboration - Ability to build relationships across departments and influence without authority • Ethical conduct - Demonstrates highest level of integrity when handling confidential member and business data • Initiative and continuous improvement orientation - Takes proactive action, anticipates needs, and continuously seeks optimization opportunities • Ability to maintain confidentiality of sensitive member and business information • Professional demeanor - Exhibits a professional, businesslike appearance and approach Strongly Preferred • Financial services experience - Credit union or banking background • Data governance experience - Participation in data quality, documentation, or governance initiatives • Cloud analytics platform experience - Modern BI and cloud data warehouse implementations • Predictive analytics experience - Building and deploying machine learning models • Professional certifications - Microsoft Certified Data Analyst, Tableau Desktop Specialist, or similar

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