We are seeking a skilled Data Analyst/Engineer to collaborate with business stakeholders and data analysts to enhance our data processes and analytics capabilities. The ideal candidate will automate workflows, ensure data quality, and create insightful visualizations to support decision-making.
Location: Hybrid 3 days a week onsite to Downtown Chicago
Qualifications:
Required:
Proven ability to collaborate with diverse partners (e.g., Corporate Risk, Compliance, Audit) to align business goals with security and development standards.
Experience supporting business analysts on high-priority projects.
High attention to detail and a structured approach to problem-solving.
Technical Skills:
Proficiency in writing and optimizing complex SQL queries.
Experience with data visualization/preparation tools, preferably Tableau and Alteryx.
Knowledge of SaaS tools and their backends (e.g., Jira, ServiceNow) is preferred.
Applied knowledge of Python for custom pipeline development (including virtual environments and unit testing) is a plus.
Familiarity with source code repository systems (preferably Git).
Experience with cloud data platforms (e.g., AWS, GCP) and maintaining cloud data warehouses is preferred.
Exposure to data orchestration tools (e.g., Airflow) and understanding of applied statistics is advantageous.
Education and Experience:
Bachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics) or equivalent professional experience.
5+ years of experience in roles such as business analyst, data analyst, data engineer, or related fields.