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Data Analyst Ops Jobs (NOW HIRING)

Harris Associates

Data Analyst, Data Ops

Chicago, IL

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

The Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the ongoing monitoring of ...

Apex Informatics

Data Analyst

As a Data Analyst on the Sales Analytics team, you will provide crucial support in areas such as ... Responsibilities: - Analyze Revenue Funnel Performance - Partner with Sales Ops and GTM teams to ...

HopSkipDrive

Data Analyst - Revenue Ops

$100/day

Who You Are Our Data Science and Analytics team is a fast-moving, AI-forward group, that utilizes a modern data stack including SQL, dbt, and Snowflake to deliver accurate data across the company.

HopSkipDrive

Data Analyst - Revenue Ops

$95K - $110K/yr

Who You Are Our Data Science and Analytics team is a fast-moving, AI-forward group, that utilizes a modern data stack including SQL, dbt, and Snowflake to deliver accurate data across the company.

KRAFTON Americas

Data Analyst

El Segundo, CA · On-site

As a Game Data Analyst on the NA team, you'll sit at the intersection of game development, product ... Conduct deep-dive analyses on game health, feature performance, A/B test results, and live ops ...

Technology Company

Criminal Data Analyst

Fairfax, VA · On-site

About the Role We're hiring a Criminal Data Analyst to review and validate criminal record data ... Investigate discrepancies and document root causes for engineering and ops. * Build and run test ...

3xFintech

Ops Data Analyst

Manhattan, NY · On-site

w Payoneer , Nowy Jork, Stany Zjednoczone Opis stanowiska Założona w 2005 roku firma Payoneer to globalna platforma finansowa, która eliminuje utrudnienia w prowadzeniu działalności ...

RIT Solutions, Inc.

Sr. Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

RIT Solutions, Inc. is seeking a Sr. Data Analyst to leverage their expertise in machine learning ... ML Ops best practices. • Experience with deploying and managing LLMs and GenAI models on ...

Harvey

CX Data Analyst

New York, NY · On-site

$112K - $168K/yr

Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility ... data transformation tooling * Experience building or contributing to QA analytics programs

Harvey

CX Data Analyst

San Francisco, CA · On-site

$112K - $168K/yr

Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility ... data transformation tooling * Experience building or contributing to QA analytics programs

Navitas Semiconductor

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

Luxury Coastal Vacations

Senior Data Analyst

Destin, FL · On-site +1

$78K - $98K/yr

Description The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR ... Help define and implement the KPIs and definitions Ops, HR, Marketing, and BD stakeholders rely on.

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Data Analyst Ops information

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$34K

$82.6K

$136K

How much do data analyst ops jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analyst ops in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Ops vs Data Analyst?

AspectData Analyst OpsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; familiarity with operations toolsBachelor's in related fields; strong analytical skills
Work EnvironmentOperations teams, cross-departmental collaborationData teams, business units, reporting focus
Employer & Industry UsageTech companies, e-commerce, logisticsFinance, marketing, healthcare, various industries
Common Search & ComparisonOperational data management, process optimizationData analysis, reporting, insights

Data Analyst Ops focuses on managing operational data, optimizing processes, and supporting business operations, often working closely with operations teams. In contrast, Data Analysts primarily analyze data to generate reports and insights for decision-making. While both roles require analytical skills and similar educational backgrounds, Data Analyst Ops emphasizes operational tools and cross-departmental collaboration, making it more aligned with operational efficiency.

What cities are hiring for Data Analyst Ops jobs?

Cities with the most Data Analyst Ops job openings:

What are popular job titles related to Data Analyst Ops jobs?

For Data Analyst Ops jobs, the most frequently searched job titles are:

Data Analyst, Data Ops

Chicago, IL

Harris Associates
See more jobs at Harris Associatesexternal

Full-time

Re-posted 2 days ago

Key responsibilities

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs

  • Design, develop, and maintain data, reporting, and workflow automation solutions

  • Execute cross-functional data initiatives from requirements through delivery

Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.

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 dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented 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 crossfunctional 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

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