Analytics Engineer - Senior

WaFd Bank•Seattle, WA

About The Position

The Senior Analytics Engineer is responsible for designing, building, and maintaining reliable, well-documented data models and analytic assets that enable data-driven decision-making across the organization. This role bridges the gap between data engineering and analytics—transforming raw data into clean, trusted, and scalable datasets that support reporting, analysis, and advanced insights. Working closely with analysts, data scientists, and business stakeholders, the Analytics Engineer will develop and optimize data pipelines, enforce data quality standards, and promote consistent practices for modeling, testing, and documentation. The position requires strong data transformation and SQL skills, a deep understanding of data architecture and lifecycle management, and the ability to translate business requirements into technical solutions that are efficient, maintainable, and auditable. Along with the key functions listed below, you will be expected to uphold the value that WaFd Bank places on simply being kind when working alongside colleagues and servicing our clients.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field; Relevant years of experience may substitute for education on a year-for-year basis.
Expert level proficiency with data model development and tools (dbt, Coalesce, etc.)
Expert level proficiency writing SQL queries for analytics.
Experience using cloud data platforms (Snowflake, Databricks, etc.)
In-depth knowledge of databases, data pipelines, and data modeling techniques.
Excellent technical, problem-solving, and troubleshooting skills.
Strong communication, collaboration, and stakeholder management skills.
At least 5 years of experience in data modeling or engineering roles, with a focus on developing reusable data models.
At least 2 years of experience using a data modeling tool such as dbt or Coalesce
Ability to work with IT and lines of business to create and convert business requirements into technical design specifications.
Must have an in-depth knowledge of computer systems and appropriate software applications, including strong technical aptitude and understanding of Microsoft Office Suite of products.
Sound judgement
Strong analytical and problem-solving capabilities
Well organized and extremely detail oriented
Strong customer service ethic and great communication skills, both oral and written
Passionate about delivering quality no matter what you are doing
Can work both independently and in a collaborative team-oriented environment
A self-starter, motivated to push the limits and think outside of the box
Fondness for solutions that are simple, elegant, and effective
Ability to work with and maintain confidential information

Responsibilities

Data Modeling Designs and maintains robust data models to support scalable analytics and reporting solutions.
Translates business requirements into logical and physical data structures, ensuring data integrity, consistency, and performance across platforms.
Collaborates with engineering and analytics teams to optimize data architecture for efficient querying and analysis.
Analytic Tool Development Develops and deploys interactive data applications that enable data exploration and visualization of insights.
Builds tools that enable self-service or communicate complex analytics clearly to internal customers.
Self-Service Product Development Design and build data products that enable users to explore and analyze data independently using AI-driven tools or natural language interfaces.
Analytics Support Collaborate with business stakeholders and analysts on data management related to report development, database design, standards, and operational efficiencies.
Data Quality and Governance Assist in the implementation of strategies and tactics to enhance data quality, accuracy, completeness, and consistency across multiple data sources and systems.
Assist business units in understanding data governance and make recommendations to improve organization-wide data quality and consistency.
Documentation and Procedures Document appropriate procedures necessary to enforce standards, communicate best practices, define roles and responsibilities, and sustain ongoing operations.
Define and promote effective documentation best practices internally and externally.
Security / Compliance Adhere to all applicable laws and regulations.
Maintain a working knowledge of security threats, laws, and policy for data privacy and protection; take steps to protect organizational data from accidental or unauthorized damage, modification, or disclosure; assist with security and access management.
Technical Support and Guidance Provide collaborative technical support and guidance to end-users, analysts, and stakeholders on data-related matters, tools, and technologies.
Troubleshoot issues related to data and data systems. Monitor data systems.
Continuous Improvement Stay current with related regulations, best practices, tools, and new technologies; participate in educational opportunities; read professional publications; maintain personal and professional networks; participate in professional organizations.
Use new knowledge and ideas to continuously improve operational efficiencies, procedures, and strategy.
Team Player Commit to a collaborative mindset and perform other duties as assigned in support of the team.
Other Adhere to Bank policies and procedures designed to comply with Federal regulations, including but not limited to the Bank Secrecy Act, USA Patriot Act and OFAC regulations.
Complete and pass all assigned eLearning courses and certifications as required.
Avoid all real or perceived conflicts of interest and always maintain client privacy and confidentiality.