Analytics Engineer

Lindblad Expeditions•New York, NY

3d•Onsite

About The Position

Lindblad Expeditions is a pioneer in Expedition Travel, committed to ensuring guests experience the “Exhilaration of Discovery” in remote and pristine locations. The 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 the organization, taking charge of various aspects such as data design, data architecture, data governance, reporting, and more. You will partner with the business analyst and data engineer to help develop solutions to the organization's data needs. This position reports to the Director of Business Applications.

Requirements

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.
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
Ability to read, write, and comprehend policies, legal guidelines, correspondence, and memos.
Ability to effectively communicate--both in writing and orally--with a professional demeanor.

Nice To Haves

Experience with programming languages like Python is desirable

Responsibilities

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
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 the 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
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

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