Data Operations Analyst Jobs in USA with Visa Sponsorship
Data Operations Analysts who need H-1B, E-3, or TN visa sponsorship will find this role classified as a specialty occupation under USCIS guidelines, requiring at least a bachelor's degree in a quantitative or technical field. Employers across tech, finance, and healthcare regularly file LCAs and I-129 petitions for this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsCOMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
Position Summary
KKR is looking for an Investment Data Operations Analyst to join its growing data management group within the Global Data Operations vertical. This role sits within the Investment Data Operations (IDO) team and supports the broader enterprise, with primary coverage across Credit and Insurance strategies.
This position is based in San Francisco and reports to the VP of Investment Data Operations.
The ideal candidate will have foundational experience in security master and daily pricing operations, particularly supporting debt instruments and bank loans. This is a hands-on, execution-oriented role focused first and foremost on accurate asset setup and daily pricing controls, with exposure to broader data initiatives over time.
The candidate should have 1–3 years of experience in investment operations, preferably within an alternative investment firm, insurance company, or fund administrator. A strong understanding of middle- and back-office workflows, particularly how security master and pricing data impact accounting, risk, and reporting, is important.
This role requires a detail-oriented individual who is comfortable working in a fast-paced environment, willing to grind through operational workflows, and able to independently investigate and resolve data issues. The ideal candidate will also be technically curious, comfortable working directly with data in SQL-based environments and interested in leveraging automation and AI tools to improve operational efficiency. Strong communication skills and a collaborative mindset are essential for working across global teams.
We are passionate about operational excellence and providing our investment and business operations colleagues with high-quality, reliable data to support investment execution across the firm. We work in small, collaborative teams within the context of a global investment platform and offer meaningful exposure, learning opportunities, and long-term career growth.
Responsibilities
- Create securities in the security master system and maintain updates to the security record throughout the lifecycle of the instrument
- Perform accurate asset setup across credit instruments, including bank loans, bonds, and structured products
- Manage daily pricing for all securities; perform price validation checks, investigate exceptions, and coordinate with vendors on pricing coverage and challenges
- Maintain consistent, accurate, and complete security master data across OMS, accounting, and risk systems by executing routine and targeted data maintenance tasks
- Use SQL to query, validate, and reconcile large datasets across systems (including Redshift and/or Snowflake environments)
- Support automation and efficiency initiatives, including responsible use of AI tools to streamline operational processes
- Resolve data breaks and support downstream teams (Accounting, Risk, Compliance, Client Reporting) with pricing and reference data inquiries
- Design, document, and execute data management processes under established governance frameworks
- In conjunction with IT, support specifications, testing, and enhancements to tools and applications used to maintain data integrity
- Identify areas of operational risk within asset setup and pricing workflows and escalate issues appropriately
- Execute assigned data-related initiatives and projects, with primary responsibility focused on operational execution
- Support management reporting and analysis using tools such as SQL, Sigma, PowerBI, and PowerPoint
QUALIFICATIONS
- Bachelor’s degree required
- 1–3 years of experience in security master setup, reference data management, or pricing operations
- Experience supporting credit instruments, particularly bank loans, asset backed assets
- Experience within an alternative investment firm, insurance firm, or fund administrator preferred
- Hands-on experience writing SQL queries; experience working with Redshift and/or Snowflake strongly preferred
- Strong comfort working directly with data and performing reconciliations across large datasets
- Understanding of how security master and pricing data impact accounting, NAV, and risk reporting
- Experience with Sigma or PowerBI preferred
- Strong Excel and PowerPoint skills
- Strong attention to detail and ability to work accurately under time constraints
- Organized with the ability to manage recurring operational processes in a deadline-driven environment
- Excellent written, verbal, and interpersonal communication skills
- Team-oriented with strong integrity and professionalism
- Demonstrated curiosity around automation and AI tools, with a willingness to incorporate technology to improve workflows
- Willingness to roll up sleeves, be scrappy, and take ownership of day-to-day operational responsibilities
IDEAL EXPERIENCE
- Knowledge of Security Master characteristics of Bank Debt, Bonds, and ABS
- Familiarity with pricing vendors and pricing validation workflows
- Exposure to trade processing and settlement preferred
- Experience working with data platforms such as Snowflake, Redshift, Sigma, Tableau, or PowerBI
- Exposure to data governance concepts and operational control frameworks
- Experience leveraging automation, scripting, or AI tools to improve operational efficiency
This is the expected annual base salary range for this San Francisco-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
Base Salary Range
$80,000 - $105,000 USD
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
COMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
Position Summary
KKR is looking for an Investment Data Operations Analyst to join its growing data management group within the Global Data Operations vertical. This role sits within the Investment Data Operations (IDO) team and supports the broader enterprise, with primary coverage across Credit and Insurance strategies.
This position is based in San Francisco and reports to the VP of Investment Data Operations.
The ideal candidate will have foundational experience in security master and daily pricing operations, particularly supporting debt instruments and bank loans. This is a hands-on, execution-oriented role focused first and foremost on accurate asset setup and daily pricing controls, with exposure to broader data initiatives over time.
The candidate should have 1–3 years of experience in investment operations, preferably within an alternative investment firm, insurance company, or fund administrator. A strong understanding of middle- and back-office workflows, particularly how security master and pricing data impact accounting, risk, and reporting, is important.
This role requires a detail-oriented individual who is comfortable working in a fast-paced environment, willing to grind through operational workflows, and able to independently investigate and resolve data issues. The ideal candidate will also be technically curious, comfortable working directly with data in SQL-based environments and interested in leveraging automation and AI tools to improve operational efficiency. Strong communication skills and a collaborative mindset are essential for working across global teams.
We are passionate about operational excellence and providing our investment and business operations colleagues with high-quality, reliable data to support investment execution across the firm. We work in small, collaborative teams within the context of a global investment platform and offer meaningful exposure, learning opportunities, and long-term career growth.
Responsibilities
- Create securities in the security master system and maintain updates to the security record throughout the lifecycle of the instrument
- Perform accurate asset setup across credit instruments, including bank loans, bonds, and structured products
- Manage daily pricing for all securities; perform price validation checks, investigate exceptions, and coordinate with vendors on pricing coverage and challenges
- Maintain consistent, accurate, and complete security master data across OMS, accounting, and risk systems by executing routine and targeted data maintenance tasks
- Use SQL to query, validate, and reconcile large datasets across systems (including Redshift and/or Snowflake environments)
- Support automation and efficiency initiatives, including responsible use of AI tools to streamline operational processes
- Resolve data breaks and support downstream teams (Accounting, Risk, Compliance, Client Reporting) with pricing and reference data inquiries
- Design, document, and execute data management processes under established governance frameworks
- In conjunction with IT, support specifications, testing, and enhancements to tools and applications used to maintain data integrity
- Identify areas of operational risk within asset setup and pricing workflows and escalate issues appropriately
- Execute assigned data-related initiatives and projects, with primary responsibility focused on operational execution
- Support management reporting and analysis using tools such as SQL, Sigma, PowerBI, and PowerPoint
QUALIFICATIONS
- Bachelor’s degree required
- 1–3 years of experience in security master setup, reference data management, or pricing operations
- Experience supporting credit instruments, particularly bank loans, asset backed assets
- Experience within an alternative investment firm, insurance firm, or fund administrator preferred
- Hands-on experience writing SQL queries; experience working with Redshift and/or Snowflake strongly preferred
- Strong comfort working directly with data and performing reconciliations across large datasets
- Understanding of how security master and pricing data impact accounting, NAV, and risk reporting
- Experience with Sigma or PowerBI preferred
- Strong Excel and PowerPoint skills
- Strong attention to detail and ability to work accurately under time constraints
- Organized with the ability to manage recurring operational processes in a deadline-driven environment
- Excellent written, verbal, and interpersonal communication skills
- Team-oriented with strong integrity and professionalism
- Demonstrated curiosity around automation and AI tools, with a willingness to incorporate technology to improve workflows
- Willingness to roll up sleeves, be scrappy, and take ownership of day-to-day operational responsibilities
IDEAL EXPERIENCE
- Knowledge of Security Master characteristics of Bank Debt, Bonds, and ABS
- Familiarity with pricing vendors and pricing validation workflows
- Exposure to trade processing and settlement preferred
- Experience working with data platforms such as Snowflake, Redshift, Sigma, Tableau, or PowerBI
- Exposure to data governance concepts and operational control frameworks
- Experience leveraging automation, scripting, or AI tools to improve operational efficiency
This is the expected annual base salary range for this San Francisco-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
Base Salary Range
$80,000 - $105,000 USD
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
How to Get Visa Sponsorship as a Data Operations Analyst
Target employers with a sponsorship track record
Search DOL LCA disclosure data to identify companies that have filed for Data Operations Analyst roles before. Repeat sponsors understand the process and are far less likely to withdraw an offer due to cost or complexity concerns.
Clarify your degree field during applications
USCIS requires that your degree field directly relates to the role. A degree in information systems, statistics, computer science, or a closely related discipline strengthens your specialty occupation case and reduces the risk of an RFE.
Document your technical tools and systems experience
Employers filing LCAs must demonstrate the role meets specialty occupation standards. A resume that highlights SQL, ETL pipelines, data warehousing, or analytics platforms makes it easier for them to build a strong petition around your position.
Ask about sponsorship policy before the final interview round
Raising sponsorship early filters out employers who won't engage, saving weeks of time. Frame it as a logistics question, not a red flag. Most companies with prior LCA filings have a straightforward internal process already in place.
Browse verified sponsoring employers on Migrate Mate
Migrate Mate lists Data Operations Analyst roles from employers actively open to sponsorship. Filtering by visa type lets you find positions matched to your specific situation without cold-applying to companies that have never sponsored before.
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Get Access To All JobsFrequently Asked Questions
Does a Data Operations Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates specialty occupation status based on whether the role normally requires at least a bachelor's degree in a specific field. Data Operations Analyst positions that involve data pipeline management, SQL, analytics, or systems integration generally meet this standard, particularly when the job description specifies a degree in information systems, computer science, statistics, or a related discipline. Generic job postings that say 'degree preferred' rather than 'required' can create problems, so the employer's LCA and I-129 documentation needs to be precise.
Which visa types are available for Data Operations Analysts seeking sponsorship?
Australian citizens can use the E-3 visa, which has no lottery and allows two-year renewable status. Canadians and Mexicans may qualify for TN status under USMCA, which can often be obtained at the border or a port of entry. Most other nationalities need H-1B sponsorship, which is subject to an annual lottery with a roughly 25% selection rate for most applicants. Some employers also sponsor O-1 visas for candidates with demonstrated distinction in their field, though this is uncommon for operations-focused roles.
What degree do I need for employer sponsorship as a Data Operations Analyst?
Most sponsoring employers require a bachelor's degree in computer science, information systems, data science, statistics, mathematics, or a closely related technical field. A general business degree alone is unlikely to support a specialty occupation petition unless paired with substantial technical coursework. If your degree is in a different field, relevant work experience can sometimes substitute, but the standard is three years of experience for every one year of missing education, and USCIS scrutinizes these cases more closely.
How competitive is it to get H-1B sponsorship for a Data Operations Analyst role?
The role itself is not the limiting factor. The H-1B lottery is. USCIS receives roughly 400,000 to 450,000 registrations annually for 85,000 available slots, resulting in selection rates around 20 to 25 percent. Data Operations Analyst roles at cap-exempt employers, such as universities, nonprofit research organizations, or certain government contractors, bypass the lottery entirely. If you're an Australian citizen, the E-3 visa eliminates lottery risk altogether. Migrate Mate lists roles from both cap-subject and cap-exempt employers so you can filter based on your situation.
Can I switch employers after getting sponsored as a Data Operations Analyst?
Yes, but the process depends on your visa type. H-1B holders can change employers through H-1B portability, which allows you to start working for a new employer once they file an I-129 petition on your behalf, even before it's approved, as long as your previous status was maintained and the new petition is non-frivolous. E-3 and TN holders need to obtain new status before starting with a new employer, which typically means a new LCA and either a consular appointment or a change of status filing.
What is the prevailing wage requirement for sponsored Data Operations Analyst jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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