Business Intelligence Analyst at Saco & Biddeford Savings Institution

Saco, Maine, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

0.0

Posted On

09 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Business Intelligence, Data Governance, ETL/ELT, Scenario Modeling, Vendor Evaluation, Data Architecture, Financial Analytics, Data Security, Stakeholder Management, Predictive Modeling, Master Data Management, Regulatory Compliance, Executive Reporting, Data Warehousing, Data Quality Management

Industry

Banking

Description

Description The Business Intelligence Analyst leadership role is responsible for building and scaling the bank's enterprise data and analytics capabilities. This individual will establish a centralized data strategy, develop scenario modeling frameworks, govern data curation and quality standards, enforce data security protocols, and lead the evaluation of BI and analytics platforms. They will serve as the bank's expert on data strategy, execution and will partner closely with Senior leadership to translate data into intelligent actions that drives growth, manages risk, and enhances customer experience. Essential Functions: Data and Analytics Leadership – Establish, build, and lead the bank's Data and Analytics strategy from the ground up, defining its mission, operating model, and strategic roadmap. Serve as the primary advocate for a data-informed culture across all business lines including retail banking, commercial lending, treasury, compliance, risk and operations. Define and communicate the organization’s BI standards, best practices, and governance frameworks. Mentor members of the organization in data strategy and management. Enterprise Data Repository & Architecture – Design and oversee the evaluation and implementation of a centralized enterprise data repository (data warehouse or lakehouse) that consolidates data from core banking systems, loan origination, CRM, general ledger, and other sources. Establish data pipeline architecture, ETL/ELT processes, and integration standards to ensure dependable, timely, and accurate data flows. Define data models, schemas, and taxonomies aligned to banking industry standards. Ensure the data architecture is scalable, resilient, and capable of supporting future growth and regulatory requirements. Vendor Evaluation & Technology Selection – Lead a structured, end-to-end vendor selection process for BI, data warehousing, analytics, and data governance platforms. Assess and Develop RFI/RFP documentation, evaluation scorecards, and demonstration frameworks tailored to the bank's functional requirements and budget constraints. Assess and compare leading platforms (e.g., Snowflake, Databricks, Microsoft Fabric, Power BI, Tableau, Informatica, Collibra) in the context of community banking use cases that weigh functionality versus cost. Collaborate with IT, Finance, Procurement, and Legal to negotiate contracts and ensure all vendor due diligence aligns with third-party risk management policies. Manage ongoing vendor relationships, SLA performance, and renewal cycles for all BI CoE technology investments. Scenario Modeling & Advanced Analytics – Build and maintain financial and operational scenario modeling capabilities to support strategic planning. Partner with Finance, Risk, and Lending teams to develop predictive models for product performance, e.g.; loan performance, deposit behavior, liquidity, and profitability forecasting. Implement model validation practices and documentation standards consistent with industry model risk management guidance. Develop self-service dashboards and analytics tools that empower business stakeholders to explore scenarios independently. Data Curation & Data Quality – Establish a formal data governance program including a data dictionary/definition, data lineage documentation, and metadata management standards. Define and enforce data quality rules, exception reporting, and remediation workflows to maintain trusted, high-integrity datasets. Partner with operations and technology teams to identify and resolve upstream data quality issues at the source. Implement master data management (MDM) practices for critical entities including customers, accounts, products, and counterparties. Publish and maintain a data catalog accessible to authorized stakeholders across the organization. Data Security, Privacy & Compliance – Coordinate with Information Technology and InfoSec to define, refine and maintain standards. Develop and enforce data access control policies, role-based permissions, and data classification frameworks aligned with the bank's information security program. Ensure compliance with applicable regulations including GLBA, CCPA, PCI-DSS, and OCC/FDIC examination expectations related to data management. Implement data masking, encryption, and audit logging standards for sensitive customer and financial data. Collaborate with Information Security, Legal, and Compliance teams on data breach response protocols and regulatory reporting. Conduct periodic data risk assessments and remediate identified vulnerabilities in a timely manner. Executive Reporting & Stakeholder Engagement – Deliver regular performance reporting, data insights, and strategic recommendations to the Senior Leadership and the Executive Leadership. Translate complex analytical outputs into clear, data informed narratives for non-technical audiences. Function as a liaison between business units and technology teams to align data priorities with organizational strategy. Provides professional, courteous, and efficient service to all internal and external customers, reflecting the Bank’s commitment to high standards of integrity and service excellence. Embrace the Bank’s core values: Caring & Compassion, Excellence, Relationships, Trust, and Enrichment. Be a source of possibilities. Perform miscellaneous duties or special assignments as required, always aligning with the Bank’s values of integrity, service, and collaboration. Other Duties and Responsibilities: Attends all required meetings and training, maintaining a commitment to personal and professional growth in alignment with the Bank’s values. Complies with federal and state banking regulations, as well as with all bank and department policies and procedures. Interacts harmoniously, professionally, cordially and effectively with others, focusing upon the attainment of bank goals and objectives through a commitment to teamwork. Serve on various committees as assigned, actively contributing to the improvement of branch operations and customer satisfaction. Working Conditions: Physical surroundings are generally pleasant and comfortable with protection from weather conditions, though temperature changes may occur. Ability to sit or stand with freedom of movement, regularly alternating between both positions. Ability to stand for extended periods of time when necessary, contributing to a dynamic and active work environment. Extensive operation of computers and office equipment requiring dexterity, coordination, and frequent use of hands. Requirements Position Qualifications and Education Requirements: Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Statistics, or the equivalent experience. 4+ years of progressive experience in data, analytics, or business intelligence roles, with at least 2 years in a leadership role. Demonstrated experience building or scaling a BI or data function, ideally within a financial services or regulated industry environment. Hands-on proficiency with data warehousing technologies (e.g., Snowflake, Redshift, Azure Synapse, or similar), ETL/ELT tools, and BI platforms (Power BI, Tableau, Cognos Analytics, or Looker). Strong understanding of data governance frameworks, data quality management, and metadata practices. Working knowledge of banking regulatory requirements relevant to financial Experience with full-cycle vendor evaluations and technology procurement for enterprise platforms. Excellent communication, presentation, and executive influencing skills. Experience in a community bank, credit union, or regional financial institution preferred. Familiarity with core banking systems (e.g., Fiserv, FIS, Jack Henry) and their data structures preferred. Experience with model risk management (MRM) practices and regulatory stress testing (DFAST) preferred. Dependable and punctual, adhering to attendance standards and demonstrating accountability in all actions. Ability to work independently and as a team player, contributing to a supportive and collaborative work environment. Strong attention to detail, ensuring that all tasks are completed to the highest standards of accuracy and compliance. Proven ability to deliver quality work during times of increased volume, demonstrating resilience and a strong work ethic. Ability to, with or without accommodations, read/see documents and computer screens, communicate in person via telephone or Zoom calls, and use a computer and other office equipment. Ability to travel to all Bank locations, ensuring a flexible and adaptable approach to meeting organizational needs.

Responsibilities

Establish and lead the bank's enterprise data and analytics strategy, including the implementation of a centralized data repository and governance framework. Partner with senior leadership to translate data into actionable insights for growth, risk management, and customer experience.