Pathways

Pathways is an independent advisor with extensive experience in the maritime and offshore industries working in the intersection between strategy, people, processes, data, and technology. Our core strength is to facilitate, challenge and guide our clients through major transformations and change processes, and align the usage of technology with the organization’s financial, operational and safety standards and goals – reducing cost, improving output/production, and decreasing emissions footprint Our expertise and knowledge have resulted in successful partnership with our clients, focusing on value added deliveries and long-term commitment.

pathways.no

Pathways

pathways.no

HQNO

Team Size86

Open Jobs1

Total Funding-

Latest FundraiseUnknown

TL;DR

Sector: Maritime and offshore advisory / business transformation

Headquarters: Bergen, Norway

Offices: Stavanger (Norway); Rotterdam (Netherlands)

Team size (approx.): 86 employees

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Company Overview

Problem Domain

Operational inefficiencies, digital transformation, data governance, compliance, and organisational change in maritime and offshore operations.

Industry

Operations Consulting

Funding Track Record

Funding

Founders

What we do

Join the Team

Data Product Analyst

On-SiteNew York, US

On-Site • New York, US

Location: New York City, in-person 4 days/week

Compensation: $80,000–$110,000 base + equity

Experience: 0-2 years professional experience

We’re building something big—and we want you in early.

Pathways is a fast-growing climate tech startup helping manufacturers decarbonize the built environment. Our platform empowers manufacturers to radically improve how they collect, report, and act on environmental data.

We’ve landed industry-leading customers. We’re growing fast. And now we’re hiring our first two data to help us scale our outbound motion from the ground up.

This role is not for everyone.

If you want a job that’s predictable or neatly boxed into 9–5, this might not be the best fit.

But if you’re hungry, scrappy, and eager to learn, keep reading.

What you’ll do:

What we’re looking for:

How to apply:

This is the kind of role where your application is your first data point.

When you apply, we’ll ask you to:

Fill out a short form with your basic information and upload your CV.
Answer two questions : either by recording a 60-second video or writing short responses (your choice).
Complete a quick Excel case study , it should not take you more than 10 minutes.

Case Study Instructions:

Download the file (the form will prompt you, check your downloads folder).
Work through the dataset to find one clear answer defined in the form.
Upload your workbook so we can see your process. Don’t worry about perfect formatting, we just need to follow your logic.

The entire application should take no more than 15 minutes.

Don’t be generic. Don’t be templated. Show us you’ve got the grit, curiosity, and drive to master data and outgrow this role by automating yourself out of it.

Why Pathways?

Front-row seat at a startup tackling one of the world’s hardest problems.
Autonomy to build, iterate, and try new things, in an environment that values creativity.
Clear growth path: from manual data wrangling to AI-powered automation and product strategy.
Real impact: your work makes construction materials cleaner and greener.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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Wrangle messy data . Analyze, structure and ingest large datasets (Excel, Word, ERP exports, supplier files).

Master Environmental Life-Cycle Analysis . Learn how construction materials are made and how that translates into environmental impact.

Automate yourself . Build workflows that start manual but move toward full AI automation.

Spot and fix inefficiencies . Raise pain points, propose solutions, and help standardize processes.

Collaborate cross-functionally . Work with product and engineering to improve tools and pipelines.

Document and scale . Create systems others can build on.

Quick to learn and naturally curious. Eager to pick up new skills and ask the right questions.

Strong quantitative skills. Comfortable working with messy, real-world data (good Excel skills, familiarity with SQL, Python or R is a plus).

Analytical and detail-oriented problem-solver. Able to think critically and ensure accuracy.

Excellent at leveraging AI tools . Always looking for ways to 10x your output and efficiency.

Good product intuition . Able to connect data to workflows and identify improvements.

Interest in manufacturing, construction, and climate tech . Curious about how products are made and their environmental impact.

Thrives in fast-paced environments . Proactive, takes ownership, and adapts quickly to challenges.