Data Analytics Engineer (Hybrid)

About Our Client: Our client is a leading full-service commercial bank headquartered in Chicago, serving small- and medium-sized businesses, financial sponsors, and consumers. With approximately $9.7 billion in assets and over 40 branch locations throughout the Chicago and Milwaukee metropolitan areas, the bank offers a broad range of commercial and community banking products and services, including small-ticket equipment leasing solutions. It ranks among the top U.S. Small Business Administration (SBA) lenders by volume for FY2024. The bank is a member of FDIC and an Equal Housing Lender.

Our client is proud to be an award-winning workplace, recently recognized with the following honors:

U.S. News & World Report: Best Companies to Work for in the Midwest, Finance & Overall (2024-2025, 2025-2026)
Chicago Sun Times: Chicago’s Best Workplaces 2024
Best Workplaces in Illinois 2024 by Best Companies Group and Illinois SHRM
Forbes: America’s Best Small Employers 2023

By joining the team, you will become part of an organization that values growth, collaboration, and innovation. The company fosters an environment where employees feel supported and empowered to excel. If you seek a career with an organization that puts people first and makes a difference in the communities it serves, this is the place for you.

Objective of Position: The Data Analytics Engineer is responsible for analyzing, designing, developing, and implementing data analytics solutions. The role provides technical support for data analytics assets as well as evaluates data and analytics platforms and related hardware and software for risk and improvement.

Duties and Responsibilities:

Establish and implement standards and best practices.
Conduct data profiling periodically and update procedures and best practices to effectively manage data quality, metadata, and data security.
Gather and document business requirements from end users and perform data analysis.
Design and implement database models (Relational, Dimensional, Star/Snowflake schema).
Prepare process and data flow diagrams.
Develop reports, dashboards, scorecards, data integrations, preliminary analyses, and visualizations.
Develop queries to extract, load, and transform data.
Create documentation for end users, reference, training, and technical solutions.
Develop and document thorough test plans.
Perform unit, system, integration, and regression testing. Document test results and provide feedback.
Actively engage end users during UAT (User Acceptance Testing) to obtain sign-off and validation.
Support enterprise analytics usage across the organization.
Perform and document database audits regularly in accordance with company policies.
Attend to user issues on time and resolve issues as per the established Service Level Agreements (SLAs).
Prepare project plans and clearly articulate roles, project goals, and timelines.
Manage projects and communicate progress and delays with stakeholders.
All other duties as assigned.

Qualifications:

Bachelor’s degree in computer science, engineering, or relevant field.
Relevant industry certifications are a plus.
4+ years of experience in designing, developing, and implementing data analytics solutions.
3+ years of hands-on development using MS SQL Server, Oracle, or other database technologies. Experience with Snowflake and/or Databricks is a plus.
3+ years of experience in developing analytics using tools such as SAP Business Objects, Power BI, Tableau, or SSRS.
2+ years of experience in data warehouse architecture, design principles, systems development, and ETL (Extract, Transform, Load) processes. Experience with DBT is a plus.
Proven experience in designing data models, including star schemas and data marts, to support end-user consumption and analytics.
Experience administering enterprise Power BI / Fabric platforms, including security, lifecycle management, and content governance.
Must be self-motivated, team oriented, and able to operate with minimal supervision.
Good analytical, problem-solving, and decision-making skills.
Experience working in the financial services industry is a plus.
Ability to identify, evaluate, and diagnose problems.
Experience with current best practices in IT standards, principles, and security practices.
Strong interpersonal and communication skills and the ability to work effectively to support a wide range of constituencies. The ability to communicate technical information to non-technical personnel.
Self-starter with excellent organization, administrative, interpersonal, and leadership skills.
Demonstrates strong organizational, analytical, and problem-solving skills.
Ability to handle high-pressure situations while still being attentive to detail and delivery requirements.

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