Analytics Engineer

Lindblad-Expeditions; New York (NY); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Travel benefits

Voyage trips for employees

Health insurance

401(k) plan with employer match

Paid holidays & vacation

Parental Leave

Sick/personal days

Job summary

Lindblad Expeditions seeks an adaptable Analytics Engineer in New York to design data models, build dbt pipelines, and deliver analytics across the business. You will partner with a business analyst and data engineer to shape data architecture, governance, and reporting while integrating AI-assisted insights.

The role emphasizes scalable Power BI reporting, KPI governance, and cross‑functional collaboration.

Qualifications

• Bachelor's or Master's Degree in Computer Science or Information Systems.
• 5+ years in analytics or data related roles.
• Experience as analytics engineer or similar with data design and reporting.
• Snowflake or modern data warehouse experience; Snowflake preferred.
• Proficient in SQL; Python desirable.
• Strong problem solving and ability to work independently or in a team.

Responsibilities

• Model and transform data using dbt across staging, intermediate, and data marts.
• Write SQL transformations to create analytics-ready datasets.
• Develop and maintain CI/CD for dbt deployments and data governance.
• Design Power BI reports and dashboards for cross‑functional stakeholders.
• Collaborate with business analysts and data engineers on data architecture.

Skills

SQL

Python

Power BI

Data modeling

Data governance

Communication skills

Problem solving

Education

Bachelor's or Master's in CS/IS

Tools

dbt

Snowflake

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.