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How much do co op remote analytics engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for co op remote analytics engineer in the United States is $65.13, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $76.20 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Remote Analytics Engineer jobs? The most popular types of Remote Analytics Engineer jobs are:
Infographic showing various Co Op Remote Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $135,479 per year, or $65.1 per hour.

Analytics Engineer

Lindblad Expeditions

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

WHO WE ARE
Lindblad Expeditions is a true pioneer in Expedition Travel. From taking the first citizen explorers to Antarctica in 1966, opening the Galapagos and Easter Island to tourism in 1967, leading the first tourist expedition through the Northwest Passage in 1984, and launching our innovative partnership with National Geographic in 2004, we're now taking almost 30,000 guests a year to some of the world's most remote and pristine locations on our fleet of 20 ships, and are committed to ensuring our guests experience the "Exhilaration of Discovery".

New York-based travel company is seeking a highly adaptable and versatile analytics engineer who thrives on taking up multiple roles and responsibilities within the realm of analytics engineering. As an Analytics Engineer, you will play a crucial role in our organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will partner with our business analyst and data engineer to help develop our solutions to our data needs throughout the organization. Reporting to the Director of Business Applications.


PROFESSIONAL RESPONSIBILITIES

Data modeling & Transformation
   Build and maintain dbt models across staging, intermediate, and mart layers following Kimball dimensional modeling best practices, and a governed semantic / metrics layer so core KPIs are defined once and are AI- and agent-ready
   Write and review SQL transformations to convert raw source data into clean, analytics-ready datasets that serve as a trusted source of truth
   Implement dbt tests, model documentation, and source freshness checks to ensure data quality and build confidence across the organization
   Collaborate with the data engineer on pipeline design, source data contracts, and overall data architecture decisions

Reporting & Analytics
   Design and publish Power BI reports and dashboards that empower stakeholders across the business to access and interpret data with confidence
   Define and govern metric definitions to ensure consistent, reliable reporting across departments
   Partner closely with our business analyst to understand reporting needs and translate them into scalable, reusable solutions
   Identify opportunities to consolidate legacy reports and improve self-service analytics capabilities
   Excited to work alongside AI tools - not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses 

Governance & Collaboration
   Contribute to data governance practices including access review, data lineage, and documentation standards
   Serve as a bridge between the data infrastructure and the business, communicating technical concepts clearly to non-technical stakeholders
   Maintain and improve CI/CD workflows for dbt model deployments

QUALIFICATIONS

   Bachelor's or Master's Degree in Computer Science, Information Systems, or a related field. 
   Minimum 5+ years in analytics or data related roles.
   Proven experience as analytics engineer or in a similar role, demonstrating expertise in data design, data architecture, and reporting
   Experience with any modern warehouse; Snowflake preferred
   Comfortable working with PowerBI or comparable dashboarding tool
   Proficiency in SQL and data querying languages. Experience with programming languages like Python is desirable
   Excellent problem-solving skills, attention to detail, and ability to work independently as well as collaboratively in a team environment
   Strong communication and interpersonal skills to effectively convey technical concepts to non-technical stakeholders

$130,000 - $150,000 a year
Bonus Target 7.5%
OUR BENEFITS
Travel benefits for employees and their family 
Voyage of Discovery trips for employees to travel as guests  
Health insurance including Medical, Dental, Vision  
401(k) plan with employer match  
Long-Term Disability, Life & AD&D Insurance
Flexible Spending Account (FSA) to be used for out-of-pocket medical and dependent care  
Pre-Tax Commuter Benefit  
7-8 Paid Holidays
1 Floating Holiday Options 
Up to 15 days of vacation (pro-rated per anniversary year)
Parental Leave
Sick/personal days per city & state ordinance
Pet Insurance discount
 
Communication Skills 
Using the English language, this person must have the ability to read, write, and comprehend policies, legal guidelines, correspondence, and memos.   Must also possess the ability to effectively communicate--both in writing and orally--with a professional demeanor. 
 
PHYSICAL DEMANDS 
While performing the duties of this job, the employee is frequently required to sit, talk and hear.  The employee will also be required to write and type.  The employee is occasionally required to stand, walk, and reach with hands and arms.  
 
COMPENSATION STATEMENT
Lindblad Expeditions determines the pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living.
 
For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. An employee/candidate with a stronger skill set will receive higher pay.
 
EQUAL OPPORTUNITY EMPLOYER STATEMENT
At Lindblad Expeditions, we simply could not do our work without the diverse kaleidoscope of humanity that creates and delivers our remarkable offerings across the planet. As a Company that respects and celebrates the inherent diversity in the places we explore, we recognize the need to mirror that same diversity and all the interconnected perspectives within our organization. We are committed to building a community of different genders, races, ages, sexual orientations, chosen identities, and countries of origin where every person brings their whole self to work and whose skills, talents, and abilities are valued. We believe we can explore further and in a more meaningful way by actively creating a more diverse and inclusive organization where everyone feels they belong.
 
Lindblad Expeditions is an equal opportunity employer. Individuals seeking employment at Lindblad Expeditions are considered without regard to race, sex, color, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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