Data Analyst, Data Ops

About the role

The Data Ops team delivers scalable data, reporting, and operational analytics solutions supporting decision-making across the firm. The Data Analyst, Data Ops partners cross-functionally to design, build, and enhance solutions, ensuring data is accurately, reliably, and efficiently delivered.

Responsibilities

• Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs
• Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
• Execute high-impact, cross-functional data initiatives from requirements through delivery
• Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
• Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented data
• Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
• Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
• Ensure data processes align with operational risk, audit, and regulatory expectations
• Participate in firm-wide initiatives such as system implementations and data integrations
• Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
• Foster strong cross-functional relationships and promote a culture of collaboration, accountability, and continuous improvement

Qualifications

• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
• 5+ years of experience in investment management, financial services, or a data-intensive operations environment
• Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
• Advanced proficiency with SQL and Python
• Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
• Demonstrated ability to analyze data issues, identify root causes, and drive cross-functional resolution
• Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
• Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
• Demonstrated proficiency with Agile methodology and project management practices
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus

Benefits

We offer a comprehensive benefits package designed to integrate life and work and support our employees and their families. Benefits include medical, prescription drug, dental and vision insurance, paid time off, profit sharing plan, 401k plan, tuition reimbursement, commuter and holistic wellness benefits along with volunteer programs.

Pay

Expected range for this Chicago-based role: $135,000 - $155,000 USD

Schedule

Full-time position

Skills

Strong analytical and problem-solving skills, operational mindset, understanding of investment management data domains, strong communication and presentation skills, proficiency with Agile methodology and project management practices, experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools.