Senior Applications and Data Analyst

River Run is a shared services organization that supports banking affiliates, Newburyport Bank, Pentucket Bank and Rollstone Bank & Trust.

The Senior Applications and Data Analyst provides advanced support for all data usage, including analytics. Develops overall architecture for data integration and usage for all critical banking systems. Collaborates with Information Services group to collect, analyze, and interpret data to inform strategic decision-making across various departments. Manages the organization’s business application portfolio and related data architecture, deploys and maintains custom reporting services and dashboards, and provides ad hoc reporting support for end-user requests. Ensures proper safeguards for the security and data integrity of the bank’s computer systems and assist in various projects as assigned. Participates in department initiatives including, but not limited to, runbooks, requirements gathering, ticket management in accordance with Information Technology Infrastructure Library (ITIL) practices, design data architectures, and system integrations.

Essential Job Functions

• Develop and maintain data systems and scalable infrastructure for data acquisition, processing, storage, analysis, and distribution, including data mining, warehousing, and governance across on-premise and cloud platforms.
• Collaborate with business units and cross-functional teams to gather high-quality data, deliver actionable insights, and support strategic initiatives, enterprise-wide projects, and system adoption.
• Design and implement analytics tools, dashboards, reports, visualizations, and statistical and predictive models to identify trends, patterns, and opportunities. Conduct ad-hoc analyses and develop reusable reports that enable teams to independently access and utilize data.
• Ensure data accuracy, security, and compliance by maintaining data standards, documentation, and governance practices and adhering to cybersecurity policies and applicable regulatory requirements.
• Evaluate and recommend new technologies to strengthen data architecture, support business growth, and encourage innovation.
• Serve as a data subject matter expert by providing training, guidance, and cross-functional support, including audit assistance, team coverage, and documentation for internal, state, and federal audits and examinations.
• Provide backup support to team members to maintain operational continuity and ensure timely project delivery.
• Participate in professional development and represent the organization at relevant industry and community events, supporting the Bank’s presence and mission.
• Maintain current knowledge of Bank products, services, procedures, policies, and regulatory requirements by attending team meetings, completing mandatory training on schedule, and applying knowledge to daily responsibilities.
• Ensure compliance with applicable federal and state laws, regulations, and Bank policies to prevent violations, minimize risk, and safeguard the Bank’s interests. Verify transactions and account balances, as applicable to the role, in accordance with Bank policies, regulatory requirements, and the Bank Secrecy Act (BSA).

• Bachelor’s degree in computer science, management information systems, mathematics, statistics, or a related technical field required; technical certifications (e.g., Azure, AWS, PMP) preferred.
• Minimum 5-7 years of relevant experience, including at least 5 years working with database and analytics technologies. Experience in financial planning, analytics, and banking applications preferred.
• Experience writing complex SQL queries, administering SQL Server databases, and working with data management systems, including SQL, NoSQL, data warehouses, and data lakes.
• Proficiency with data visualization and reporting tools, such as Power BI, Tableau, FIS H360, Crystal Reports, or similar platforms, as well as ETL tools, APIs, file transfers, and application integration.
• Experience with Python, R, PowerShell, or other scripting languages; statistical analysis and predictive modeling; and cloud-based data platforms, big data, AI, and modern automation tools.
• Experience using AI-assisted productivity and automation tools, including generative AI, copilots, and agents, for reporting, analysis, documentation, research, code generation, and workflow automation. Willingness to learn emerging AI technologies and apply responsible AI practices in a regulated financial services environment.
• Strong analytical, critical-thinking, and problem-solving skills, with excellent attention to detail and a commitment to data accuracy.
• Excellent communication, documentation, and customer service skills, including the ability to present complex findings to nontechnical stakeholders and maintain effective professional relationships.
• Proven ability to collaborate across teams, manage multiple concurrent projects, prioritize tasks, meet deadlines, and perform effectively under pressure in a dynamic and changing environment.
• Ability to meet the working environment and physical requirements of the position.