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Ship Vetting Jobs (NOW HIRING)

YipitData

Data Product Analyst, Private Investor

We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can ... On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting ...

YipitData

Data Product Analyst, Private Investor

We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can ... On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting ...

YipitData

OR

We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can ... On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting ...

YipitData (Alternative)

OR

We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can ... On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting ...

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All JobsShip Vetting Jobs

Ship Vetting information

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$15

$26

$47

How much do ship vetting jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for ship vetting in the United States is $26.22, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $32.69 per hour, depending on experience, location, and employer.

What is the difference between Ship Vetting vs Ship Surveyor?

AspectShip VettingShip Surveyor
CredentialsCertifications in maritime safety, inspection, and vetting proceduresCertifications in marine surveying, classification society standards, and ship construction
Work EnvironmentOffice-based with site visits to ships, ports, and terminalsOnboard ships and at inspection sites, often traveling internationally
Employer & Industry UsageShipping companies, charterers, and brokers for vetting cargo shipsClassification societies, survey companies, and shipowners for vessel condition assessments

Ship Vetting focuses on evaluating ships for safety, compliance, and suitability for cargo operations, primarily through inspections and documentation review. Ship Surveyors conduct detailed assessments of vessel condition, structural integrity, and compliance with standards. While both roles involve ship inspections, vetting emphasizes operational suitability for cargo, whereas surveying centers on technical condition and certification compliance.

What are some common challenges faced in a Ship Vetting role, and how can they be addressed?

Ship Vetting professionals often encounter challenges such as interpreting diverse international regulations, evaluating ships with incomplete documentation, and staying updated on rapidly changing industry standards. To address these, it's important to maintain strong communication with both ship operators and regulatory bodies, regularly attend industry training, and develop a keen eye for detail. Collaborating closely with other departments, such as compliance and operations teams, also helps ensure thorough and effective vetting decisions.

What are the key skills and qualifications needed to thrive as a Ship Vetting Inspector, and why are they important?

To thrive as a Ship Vetting Inspector, you need deep knowledge of maritime safety regulations, vessel operations, and industry standards, often supported by a maritime engineering degree or seafaring experience. Familiarity with vetting inspection tools, databases like SIRE, and certification in safety management systems such as ISM Code are typically required. Strong analytical skills, attention to detail, and effective communication are crucial for accurately assessing compliance and conveying findings. These capabilities ensure that vessels meet stringent safety and environmental requirements, minimizing operational and reputational risks for shipping companies.

What is ship vetting?

Ship vetting is a comprehensive assessment process used by companies, especially in the oil, gas, and chemical industries, to evaluate the safety, quality, and suitability of a vessel before chartering or allowing it to transport cargo. The vetting process involves reviewing a ship’s history, inspection records, crew qualifications, safety management systems, and compliance with international regulations. By conducting ship vetting, companies can minimize operational risks, prevent accidents, and ensure that vessels meet both industry and company-specific standards.
Data Product Analyst, Private Investor

Data Product Analyst, Private Investor

YipitData

Remote

Full-time

Retirement, PTO

Posted 21 days ago

Job description

About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.
What It's Like to Work at YipitData:
YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.
From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
  • Ownership That Matters: You'll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for.
YipitData Signals:
YipitData Signals is the platform we're building to help private investors see how any private company is performing, leveraging numerous proprietary spend datasets with more data on the way. We launched coverage late last year with data on 250k+ AI and Software vendors, and we're quickly scaling both the platform and the org.
Signals is a small and scrappy team operating inside a billion-dollar company, which means you get the best of both worlds: startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can see the direct impact of your work, move from idea to execution in days (not quarters), and want to help shape a product's trajectory from the ground floor, this is the place for you.
About the Role:We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious 2026 goals. This is not a role where you'll be a cog in a machine. On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors to improve accuracy. You'll be expected to ramp up fast, take ownership immediately, and operate with a high degree of autonomy. We're looking for someone with 4-6 years of experience who is eager to deepen their data analysis skill set, get direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment.
As a Data Product Analyst, you will:
  • Become a core owner of Signals data products - you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform
  • Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems
  • Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
  • Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution
  • Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations
  • Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
  • Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast-whether that's adding new data to the platform, improving accuracy, or reducing data lag times
  • Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
  • Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible

You Are Likely To Succeed If:
  • You have 4-6 years of experience in data analytics, data operations, consulting, or a related field
  • You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you're familiar with GitHub and Databricks
  • You have experience using sample or panel data to make precise estimates that guide decision-making
  • You proactively experiment with AI tools to increase speed, depth, and efficiency of analysis, and to unlock new approaches to problem-solving
  • You are scrappy and resourceful-you figure things out without waiting to be told what to do
  • You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
  • You have excellent attention to detail and a natural instinct for spotting data anomalies
  • You communicate clearly and concisely-both in writing and verbally
  • You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
  • You take ownership of problems and drive them to completion without constant oversight-on a small team, self-direction is essential

What You'll Get:
  • An outsized role on a small, high-growth team where your contributions are immediately visible and directly tied to revenue outcomes
  • The chance to help build a product from its early stages inside a well-funded, billion-dollar company
  • Exposure to top-tier PE firms and hedge funds as clients
  • Rapid professional development through breadth of responsibility
  • A team culture that values moving fast and building something great together

Our compensation package includes comprehensive benefits, perks, and a competitive salary:
  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual on-target earnings for this position is anticipated to be up to $170K annually + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
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