> Markdown version of [/jobs/ext/2284007-data-analytics-engineer-hybrid-schaumburg-il](https://www.wearedevelopers.com/jobs/ext/2284007-data-analytics-engineer-hybrid-schaumburg-il). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer (Hybrid, Schaumburg, IL) - **Company:** Byline Bank - **Location:** Schaumburg, IL, United States - **Experience:** Experienced - **Salary:** $86,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Databases, Data Integration, Extract Transform Load (ETL), Data Mart, Data Profiling, Data Security, Data Warehousing, Database Models, Document-Oriented Databases, Enterprise Content Management, Metadata, Microsoft SQL Server, Oracle (Applications), Systems Development Life Cycle, Regression Testing, Power BI, SQL Server Reporting Services, Tableau (Software), Snowflake, Sap Business Objects, Information Technology, Data Analytics, Star Schema, Databricks - **Published:** August 28, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3367804034&tx=HT7468TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 the detail and delivery requirements. Physical Demands/Work Environment: Usual office environment with frequent sitting, walking, and standing, and occasional climbing, stooping, kneeling, crouching, crawling, and balancing. Frequent use of eye, hand, and finger coordination enabling the use of office equipment. Oral and auditory capacity enabling interpersonal communication as well as communication through automated devices. ## Description 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., * 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)