Analytics Engineer

• Establish and execute engineering objectives for digital analytics and tag management systems and CX platforms in alignment with business and technology strategies
• Operate as a technical leader in designing, developing, implementing, and supporting scalable and reliable analytics engineering solutions that meet defined marketing and digital needs
• Provide thought leadership in digital data collection, aligning strategies with business goals and enterprise technology standards
• Work closely with cross-functional teams to bring solutions to life
• Provide technical direction and guidance on architecture, design patterns, and engineering standards within the marketing and digital domains
• Ensure engineering work adheres to best practices for quality, security, performance, and maintainability
• Establish engineering best practices for mobile app analytics, data privacy, and testing automation
• Conduct code reviews to provide guidance on on engineering best practices and compliance with development procedures
• Accountable to ensure all aspects of product development follow compliance and security best practices
• Embraces emerging technology opportunities (such as automation, AI) and contributes to the best practices in support of the bank’s technology transformation
• Contributes to a culture of innovation, collaboration, and continuous improvement

Senior Software Engineer, Digital Analytics

• Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations.
• Develop data models for use by analysts and applications from across the business using modern dimensional modeling practices to efficiently serve accurate, consistent data.
• Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns.
• Create efficient, performant data models to support business requirements and analytics needs.
• Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability.
• Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions and on-premises systems.
• Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis.
• Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions.
• Identify and resolve data-related issues and challenges for technical and non-technical stakeholders.
• Support company-wide projects ranging from server migrations to mergers and acquisitions as a data and systems expert.
• Automate data processes to improve efficiency and reduce manual effort.
• Implement modern concepts like metadata-driven pipelines and Infrastructure-as-Code that will play a key role in a scalable, resilient data platform.
• Document data processes, architecture, and workflows.

• Architect, Design and implement ETL processes.
• Develop and maintain integration tools and utilities.
• Proficient in writing SQL queries and troubleshooting issues.
• Support existing applications.
• Provide guidance and support to Junior/Mid-level developers.
• Instruct, direct, and check the work of others.
• Lead, design, code, test and debug complex development efforts.
• Document, enforce and model best standards and practices to others.
• Oversee project completions and ensure user satisfaction.
• Complies with Company policies, procedures, regulatory requirements, and complete mandatory company compliance training by prescribed deadlines.
• Ability to accept guidance and supervision from management.
• Other duties that may be reasonably assigned.

Analytics Engineer jobs in Minnesota

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Senior Software Engineer, Digital Analytics

Analytics Engineer

Senior ETL Developer