Data Analytics Engineer (Hybrid, Schaumburg, IL)

Byline Bank.•Schaumburg, IL

13d•$86,000 - $115,000•Hybrid

About The 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. Byline Bank is an award-winning workplace recognized by U.S. News & World Report, Newsweek, and Chicago Sun Times. They value growth, collaboration, and innovation, striving to create a supportive environment where employees can excel. Byline Bank is committed to putting people first and making a difference in the communities they serve.

Requirements

Bachelor’s degree in computer science, engineering, or relevant field.
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.
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.
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.
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 the detail and delivery requirements.

Nice To Haves

Relevant industry certifications are a plus.
Experience with Snowflake and/or Databricks is a plus.
Experience with DBT is a plus.
Experience working in the financial services industry is a plus.

Responsibilities

Establish and implement standards and best practices.
Conduct data profiling periodically and update procedures and best practices to effectively manage the 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 Byline Bank 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.