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Offshore Data Analyst Jobs (NOW HIRING)

$100K - $125K/yr

Data automation, analytics, workflow build, offshore delivery coordination, and quality controlClient Role: Approximately 75% execution and technical delivery, 25% client-facing coordinationDelivery ...

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Must be able to work with the remote based BI team, and offshore development team, staying closely ... Data Analyst details * Data modeler/analyst must have strong knowledge of star schema and snow ...

You will collaborate daily with our onshore and offshore data engineers, who build and maintain the AWS-based lakehouse and analytics-ready data sources you will consume. Your focus is on the ...

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

... offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

Job #219506 Chipton-Ross is seeking a Data Analyst - Intermediate for a hybrid contract opportunity ... Experience working with offshore recruiting teams * Experience with Power BI, Tableau, or other BI ...

Lead AWS Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

... data and analytics practice. This role combines Deep technical expertise with strong coordination skills, working closely with onshore and offshore teams, business stakeholders, and project ...

... offshore technology services and solutions to premier corporations. Over the past few years ... Assists in the analysis of underlying issues arising from investigations into requirements. Assists ...

The GSS Data Analyst located in Louisiana is responsible for delivering safe, efficient, and ... Knowledge of offshore drilling equipment and techniques. * Work schedule will be 3 weeks on and 3 ...

Showing results 21-40

Offshore Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do offshore data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for offshore data analyst 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 an offshore data analyst?

Offshore data analysts are professionals who analyze and interpret data related to offshore operations, such as oil and gas exploration, maritime activities, or renewable energy projects located at sea. They collect, process, and evaluate data from various offshore sources to help companies make informed decisions about safety, efficiency, and productivity. Offshore data analysts often work with specialized software and may collaborate with engineers, geologists, or project managers to provide actionable insights. Their role is crucial in ensuring that offshore projects are both cost-effective and compliant with industry regulations.

What skills and qualifications are needed to thrive as an offshore data analyst?

To excel as an Offshore Data Analyst, you need strong analytical abilities, a solid background in statistics or mathematics, and often a relevant degree such as in data science, computer science, or engineering. Familiarity with data processing tools like SQL, Python, R, and data visualization software, as well as experience with industry-specific databases and possibly certifications like Microsoft Certified Data Analyst Associate, are typically required. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with onshore teams and presenting findings clearly. These competencies ensure accurate data interpretation, effective remote collaboration, and actionable insights that drive decision-making in offshore operations.

What are common challenges faced by offshore data analysts and how can they be addressed?

Offshore Data Analysts often encounter challenges such as time zone differences, communication barriers, and aligning with onshore teams' expectations. To address these, it's important to establish clear communication channels, document processes thoroughly, and participate in regular meetings to stay aligned with stakeholders. Leveraging collaboration tools and proactively seeking feedback can also help ensure that work meets quality standards and deadlines, fostering strong working relationships across locations.

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

AspectOffshore Data AnalystData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau are commonSimilar credentials; often holds degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentRemote or offshore teams, often in different time zones, working for international companiesUsually on-site or remote within the same country or region
Employer & Industry UsageHired by multinational companies, outsourcing firms, or global consultanciesEmployed across various industries locally or nationally

Both roles involve analyzing data to support business decisions, but Offshore Data Analysts typically work remotely for international clients or companies, often in different time zones, whereas Data Analysts may work locally or on-site within their country. The core skills and certifications are similar, but the work setting and employer types differ.

More about Offshore Data Analyst jobs

What cities are hiring for Offshore Data Analyst jobs?

Cities with the most Offshore Data Analyst job openings:

What states have the most Offshore Data Analyst jobs?

States with the most job openings for Offshore Data Analyst jobs include:

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

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

Infographic showing various Offshore Data Analyst job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst, Private Markets

Manhattan, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Key responsibilities

  • Assist in the intake, review, and processing of LP documents to ensure accurate and timely workflow progression.

  • Review automated outputs, identify processing exceptions or anomalies, and escalate or resolve issues in coordination with senior staff.

  • Support the manipulation and enrichment of private market data points, perform quality checks, and contribute to data analysis to inform product and service improvements.


Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Data Analyst, Private Markets

LOCATION: New York City (hybrid)

SALARY: $70,000 - $100,000 + Bonus

The Role:

You are an emerging operations professional eager to grow your career at the intersection of private markets and cutting-edge AI. As a member of our Canoe Data Operations Team, you will apply your expertise in private market data to build, define, and execute on our product and service offering—while supporting day-to-day operations, ensuring data quality, and tackling the operational complexity of the private markets ecosystem.

You will work alongside senior team members to manage delivery through our onshore and offshore teams, contribute to the accuracy and efficiency of our platform, and partner closely with Product Managers to help shape the future product roadmap. This is an exciting opportunity to own core functionality and drive meaningful improvements across service delivery and ongoing operations.


What You'll Do:

Operational Support & Workflow Management:

  • Support Document Processing Workflows: Assist in the intake, review, and processing of LP documents (Capital Account Statements, PCAPs, Call/Distribution Notices), ensuring they move through the pipeline accurately and on time.

  • Monitor & Triage Exceptions: Review automated outputs, identify processing exceptions or anomalies, and escalate or resolve issues in coordination with senior operations staff.

  • Deliver Quality: Reconcile extraction data against source documents, manage conflicting data points, and maintain high standards across all client deliverables.

Subject Matter Expertise & Data Quality:

  • Be an SME: Become a go-to individual within Canoe for private market data points—including underlying asset data such as cost basis, valuations, and operating metrics—and support the manipulation and enrichment of such data.

  • Advocate for Standards: Champion best practices, perform quality checks, and drive consistency across the team to foster a culture of excellence.

  • Derive Insights: Perform analysis on data trends to inform our product and service offering, and flag patterns that can inform process improvements or automation opportunities.

Process Improvement & Product Development:

  • Continuous Improvement: Identify technology and process improvements to efficiently and effectively process data, and assist in refining operating procedures.

  • Document Operational Logic: Help capture and organize process notes, workflow rules, and exception-handling procedures to be shared across operations and product teams.

  • Cross-Functional Coordination: Work closely with Data, Product, and Engineering teams to communicate operational needs, contribute to product roadmap discussions, and flag issues that require systemic fixes.

Collaboration & Client Support:

  • Manage Offshore Coordination: Support delivery through onshore and offshore team structures, ensuring work is executed accurately and on schedule.

  • Client-Adjacent Support: Assist client-facing team members by preparing operational summaries and data quality reports that support client communications and onboarding.

What We're Looking For:

  • Experience: 1+ years of experience in fund operations, fund administration, private market data, or a related financial services role. Internship experience in relevant fields will be considered.

  • Domain Knowledge: Familiarity with private market data points including asset-level data (cost basis, valuations, operating metrics), capital calls, distributions, and fund financial statements.

  • Operational Mindset: Process-oriented and organized, with a proven ability to self-manage in a remote or hybrid work setting and balance individual focus with team collaboration.

  • Attention to Detail: You take accuracy seriously and understand that clean, reliable data is the foundation of everything we do.

  • Communication Skills: Strong communication, presentation, and interpersonal skills with the ability to work effectively across teams and time zones.

  • Comfort with Ambiguity: Comfortable navigating complex, fast-paced environments and uncovering answers to open-ended product and operational questions.

  • Technical Comfort: Comfortable working with structured data in Excel or similar tools. Exposure to SQL or data platforms is a bonus, but not required.


What You'll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend + wifi reimbursement

  • Employee Assistance Program

  • Gym reimbursement

  • Education assistance

  • Parental Leave

  • Commuter benefits


Our Values:

Client First —> Listen, and deliver client-centric solutions

Be An Owner —> Take initiative, improve situations, drive positive outcomes

Excellence —> Always set the highest standard for yourself and others

Win Together —> 1 + 1 = 3


Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.