Data Analyst, Data Ops
Chicago, IL · On-site
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data ...
Harris | Oakmark
2 jobs near Columbus, OH
Data Analyst, Data Ops
Chicago, IL · On-site
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data ...
Harris is a company that values intellectual curiosity and diversity among its people. They are seeking a Senior Director of Data Management to oversee the firm's master data management functions and ...
Harris is a company that values intellectual curiosity and diversity among its people. They are seeking a Senior Director of Data Management to oversee the firm's master data management functions and ...
Full-time
Posted 10 days ago
Job description
Job Summary:
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
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‑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:
Required:
• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
• 7-10 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
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐡𝐨𝐥𝐝𝐢𝐧𝐠𝐬 𝐚𝐫𝐞 𝐬𝐮𝐛𝐣𝐞𝐜𝐭 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐧𝐨𝐭𝐢𝐜𝐞 𝐚𝐧𝐝 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐢𝐧𝐭𝐞𝐧𝐝𝐞𝐝 𝐚𝐬 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐬𝐭𝐨𝐜𝐤𝐬 𝐧𝐨𝐫 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐜𝐨𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐝𝐯𝐢𝐜𝐞. Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
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‑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:
Required:
• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
• 7-10 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
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐡𝐨𝐥𝐝𝐢𝐧𝐠𝐬 𝐚𝐫𝐞 𝐬𝐮𝐛𝐣𝐞𝐜𝐭 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐧𝐨𝐭𝐢𝐜𝐞 𝐚𝐧𝐝 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐢𝐧𝐭𝐞𝐧𝐝𝐞𝐝 𝐚𝐬 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐬𝐭𝐨𝐜𝐤𝐬 𝐧𝐨𝐫 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐜𝐨𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐝𝐯𝐢𝐜𝐞. Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.