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Data Operations Associate Jobs (NOW HIRING)

Associate, Data Operations

New York, NY ยท On-site

$130K - $150K/yr

The Data Operations team play a critical role in the firm's data strategy in alignment with investment, client, and operational goals. What You'll Do: Data Strategy & Governance * Champion data ...

Associate, Data Operations

New York, NY ยท On-site

$130K - $150K/yr

The Data Operations team play a critical role in the firm's data strategy in alignment with investment, client, and operational goals. What You'll Do: Data Strategy & Governance * Champion data ...

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Data Operations Associate information

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How much do data operations associate jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for data operations associate in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $30.29 per hour, depending on experience, location, and employer.

What does a data operations associate do?

A Data Operations Associate is responsible for managing and maintaining the flow of data within an organization. They ensure data is collected, processed, and stored accurately, supporting data integrity and availability for business needs. Their duties often include monitoring data pipelines, troubleshooting data issues, and collaborating with teams to improve data processes. This role is critical in ensuring that reliable data is accessible for analytics, reporting, and decision-making.

What are the key skills and qualifications needed to thrive as a data operations associate?

To thrive as a Data Operations Associate, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in information systems, computer science, or a related field. Familiarity with data processing tools, database management systems (such as SQL), and platforms like Excel or BI tools is typically required. Excellent problem-solving abilities, communication skills, and organizational aptitude help you coordinate with teams and ensure data accuracy. These competencies are essential for maintaining data integrity, enabling efficient workflows, and supporting informed business decisions.

What are some typical challenges faced by data operations associates when managing large datasets across multiple platforms?

Data Operations Associates often encounter challenges such as ensuring data consistency and accuracy when integrating information from different sources. Managing data pipelines and troubleshooting data flow issues can be complex, especially as organizations scale and adopt new technologies. Collaborating with data engineers, analysts, and IT teams is essential for resolving discrepancies and maintaining the reliability of data systems. Regularly updating documentation and staying current with best practices in data governance helps address these challenges effectively.

What is the difference between Data Operations Associate vs Data Analyst?

AspectData Operations AssociateData Analyst
Primary FocusData management, processing, and ensuring data qualityAnalyzing data to generate insights and reports
Skills & CertificationsData management tools, basic SQL, attention to data accuracyData analysis, visualization, SQL, statistical skills
Work EnvironmentData teams, operations departments, often in tech or financeBusiness units, analytics teams, consulting firms

While both roles involve working with data, the Data Operations Associate primarily handles data management and quality assurance, whereas the Data Analyst focuses on analyzing data to inform business decisions. The roles often collaborate but serve different functions within organizations.

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What are the most commonly searched types of Data Operations jobs?

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What states have the most Data Operations Associate jobs?

States with the most job openings for Data Operations Associate jobs include:

Infographic showing various Data Operations Associate job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $54,588 per year, or $26.2 per hour.

Portfolio Company Data Operations Associate

Careers at KKR

Boston, MA โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

TEAM OVERVIEW

KKR's Global Operations team enables the firm's businesses by supporting the lifecycles of our investments, investors, and funds from one global operating platform. Leveraging a data-driven approach, the team's operating verticals align with our businesses to ensure that we are able to provide best in class service to internal and external stakeholders while using technology, process, and location as tools to adapt and scale. The business area is comprised of the Client Services, Treasury, Private Market Operations, Data Operations, and Global Credit Investment Operations teams.

POSITION SUMMARY

KKR has an enterprise data operations group to collect, manage, and harness the power of data across our diverse business activities. Given the criticality of Portfolio Company (PortCo) data to KKR's Private Markets business, a dedicated Portfolio Company Data Operations function has been established to service our Private Equity and Infrastructure businesses. Structured within the broader Global Data Operations organization, this team is tasked with ensuring all Portfolio Company financials are controlled, consumable, and curated to deliver transparent & impactful insights to key internal & external constituents.

The PortCo Data Operations team is seeking to hire an Associate based in Boston, MA to support Americas Private Equity data management and performance reporting/analysis efforts. The candidate will work closely with Private Equity deal teams, KKR Capstone, and KKR Capital Markets teams to lead the KKR internal portfolio monitoring process and associated technology platform. While driving continuous transformation & improvement, this role will also assist with the execution of the on-going processes of Portfolio Company on-boarding, data quality management, and analytics to meet the evolving needs of both regional & global leadership.

This position will report to the Americas Lead, Portfolio Company Data Operations. The ideal candidate would have the unique combination of financial acumen, strong data analysis & technical skills, and a passion/interest in private markets investing. The candidate should also have an interest in embracing new technologies (AI), have strong verbal/written communication skills, and be a good cultural fit with an emphasis on collaboration, excellence, and action-oriented results.

KKR has a very collaborative culture where an individual's success is the result of both acumen in the role and ability to leverage the whole firm.ย  They think in terms of "we", not "I" and know we are better together than one single person. One firm, collaboration, operating with "like and trust" are core to how KKR operates. The person who joins in this role is joining the Portfolio Company Data Operations team but also a team of 2,500 people across the firm and we all work together to support each other in delivering the best of KKR to our companies and clients.

RESPONSIBLITIES

  • Maintain and analyze Americas Private Equity portfolio company financial data, ensuring end-to-end data integrity and a unified source of truth throughout the company lifecycle-including onboarding, operational monitoring, and exit analysis.
  • Manage the recurring financial data collection efforts for Americas Private Equity, ensuring that data is clean and accurate and operational processes are high quality and repeatable.
  • Develop and maintain data products, complex SQL and data transformation logic, AI skills and agents, and lightweight software solutions that automate financial analysis and operational workflows.
  • Produce quarterly performance reporting and analytics across strategies, working closely with deal teams to synthesize financial and operational data to produce actionable insights for portfolio management committees and senior leadership.
  • Monitor data quality controls to ensure PortCo data completeness & accuracy, helping with the processing of any / all corrective maintenance required to remediate identified data issues in a timely manner.
  • Operate the internal data platform (Chronograph) within the region, resolving technical and data-related inquiries and leveraging platform to optimize user experience and engagement.
  • Provide a best-in-class client data experience by producing quarterly LP reports, managing ad hoc data requests, and addressing due diligence queries in collaboration with KKR's Client Services team.
  • Act as a trusted resource for data-related questions and updates from various internal and external groups, such as PortCo contacts and deal teams.
  • Collaborate with the Global Data Operations team, to provide flexible support to all data initiatives and global functions, as necessary.
  • Collaborate with regional team members across offices and time zones in support of these initiatives.

QUALIFICATIONS

  • Bachelor's degree in Finance, Engineering, Analytics, Information Systems, or related quantitative discipline; Master's degree preferred.
  • 4-6 years of experience in a data-intensive role within financial services, private equity, asset management, or a comparable institutional environment.
  • Intermediate SQL skills to manipulate data (experience with joins, unions, views, etc.).
  • Familiarity with Python or a similar programming language.
  • Understanding of financial statement analysis, corporate finance, and the private equity ecosystem.
  • Hands-on experience using data visualization tools such as Sigma, PowerBI, Tableau, or similar tools to support analyses.
  • Advanced Excel skills (pivot tables, Excel plug ins, Power Query).
  • Excellent verbal and written communication skills, with the ability to distill data into insights.
  • Strong cultural fit - collaborative, intellectually curious, action-oriented, and committed to high standards of excellence and accountability.
  • Ability to thrive in a fast-paced work environment, including ability to be detail-oriented across multiple competing priorities.

PREFERRED QUALIFICATIONS

  • Buy-side exposure with experience in asset/ investment management.
  • Data analytics & modeling skills using Python, R, etc.
  • Experience with cloud data warehouse solutions such as Snowflake, Databricks, etc.
  • Experience with Private Equity Portfolio Monitoring tools such as Chronograph, iLEVEL, Cobalt, etc.
  • Knowledge of Private Markets / Private Company data, trends and analytics.
  • Familiarity with market & alternative data vendors.

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