Senior Analytics Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design, develop, and maintain analytics, reporting, and AI-driven solutions to facilitate business and client decision-making.

• Create and manage dashboards and reporting solutions utilizing AWS QuickSight, Tableau, Power BI, or comparable tools.

• Construct data transformation, analytics, and reporting pipelines with SQL, Python, and associated technologies.

• Examine complex datasets and convert business needs into actionable insights.

• Collaborate with business, product, engineering, and operations teams to deliver scalable analytics solutions.

• Ensure data integrity through validation, reconciliation, and root-cause analysis.

• Develop reusable data models, reporting standards, and automation frameworks.

• Utilize AI tools and automation technologies to enhance development speed, quality, and efficiency.

• Document solutions and provide support for production reporting environments.

⛳️ Requirements

• Over 6 years of experience in analytics engineering, business intelligence, data analytics, or related disciplines.

• Proficiency with BI tools such as AWS QuickSight, Tableau, Power BI, or similar platforms.

• Strong SQL skills and experience with Python for analytics or automation.

• Experience in handling structured and semi-structured data.

• Strong analytical, problem-solving, and communication skills.

• Proven experience collaborating across cross-functional teams.

• Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot, Amazon Q, Claude, ChatGPT, etc.).

• Experience in developing automation solutions using Python, APIs, AI frameworks, or workflow tools.

• Knowledge of Alteryx, AWS cloud services, or modern data platforms.

• Understanding of data governance, data quality, and compliance standards.

• Experience in supporting enterprise-scale analytics and reporting environments.

• Bachelor's degree in computer science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field, or equivalent education and experience.

• Must possess work authorization in the Employing Country without the need for current or future visa sponsorship.

• Successful completion of a background check, with checks determined by the specific position.

• Virtual interviews must be conducted via video; a camera-on culture is maintained.

🏝️ Benefits

• Health, dental, and vision coverage starting from Day One.

• Wellbeing programs available.

• Retirement plans with contribution matching.

• Generous time-off policies.

• Parental leave benefits.

• Opportunities for continuing education and training.

• Career growth prospects.

• Flexible working arrangements whenever feasible.

• Possibility for occasional travel to physical office locations.