Data Analyst, Data Ops

At Harris the true value of what makes us successful is found in our people. It is our unique mix of cultures experiences beliefs and backgrounds that sets Harris apart from the rest. We constantly strive to cultivate nurture and amplify an unparalleled environment where we value intellectual curiosity and uniqueness of thought. Inclusion is embedded in the very fabric of our culture of collaboration and openness.

We understand that a job description only tells one part of a broader story and Harris is seeking dynamic candidates who can add to our best-in-class environment. We recognize that qualifications can be gained through both traditional and non-traditional paths and we are committed to considering candidates who possess the potential to be excellent in this role regardless of prior experiences.

Therefore we encourage ALL interested individuals to submit their applications even if they do not meet every requirement outlined in the job description.

Position Summary:

The Data Ops teamis responsible fordelivering scalable datareportingand operational analytics solutions that supportdecision-makingacross the firm. The team partners closely with stakeholders to enable trustedwellgoverneddata that improvestransparency efficiency and outcomes.

The Data Analyst Data Opsis responsible forensuring theaccuratetimelyand reliable delivery of data and analytics solutions to supportprocess efficiency and data-centric decision making. This role partnerscross functionallyto design build and enhance data reporting and workflow automation solutions. The Data Analyst supports enterprise analytics BI andself-serviceinitiatives by ensuring data is consistently modeled documentedgovernedand aligned with operational risk audit and regulatory to the Senior Director of Business Process and Data Ops the ideal candidate combines strong analytical andproblem-solvingskills with an operational mindset brings a solid understanding of investment management datadomainsand thrives in a collaborative agile environment.

Responsibilities:

• Partner with data consumers to understand data needs and ensureaccuracy reliability and scalability of data and reporting outputs.
• Design develop andmaintainsophisticated data reporting and workflow automation solutions.
• Executehigh-impact cross-functional data initiatives from requirements through delivery.
• Gain deepexpertisein firm-wide business processes and translate operational needs into scalable solutions.
• Support BI reporting and self-service analytics initiatives by ensuring consistent well-modeled and documented data.
• Support enterprise data governance by adhering to 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 infirm-wide initiatives such as system implementations and data integrations.
• Participate in agile planning backlog refinement and prioritization ofDataOpsinitiatives.
• Foster strong cross-functional relationships and promote a culture of collaborationaccountabilityand continuous improvement.

Qualifications:

• Bachelors degree in DataAnalytics Engineering Computer Science Business ora relatedfield.
• 4-6 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 proficiencywith 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 skills with the ability to explain complex data concepts to nontechnical stakeholders.
• Familiarity with Agile methodology and project management practices is a benefit.
• Experience with data engineering pipeline development JIRA SharePoint or workflow automation tools is a plus.

Equal Employment Opportunity Policy Statement
Harris Associates L.P. pursues a policy of equal opportunity in all areas of employment including recruitment hiring training compensation benefits advancement and treatment on the job. This means that Harris does not discriminate against employees or qualified applicants based on an individuals race color religion creed sex age national origin physical disability sexual orientation trans-gender status transsexual status status as a veteran or disabled veteran genetic information or for any other reason prohibited by law. Harris reserves the right to review publicly available information about applicants (i.e. via social networking sites) to the extent permissible under applicable law.

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