Forto
Expert Trade Analyst
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Berlin
Employer listed it 2 weeks ago · Found 3h ago
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Berlin
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$205k a year, a typical range taken from 231 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Berlin, Amsterdam, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Berlin, Amsterdam, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Us
What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process.
About the role
In the Trade Management team, you'll join an international and diverse group of passionate experts. We're transforming the way we approach global logistics – moving from intuition-based decisions to a precision-engineered, data-driven strategy.
We're seeking an Expert Trade Analyst: a technical heavyweight who loves to code, model, and moves fast. You'll be a hands-on builder of the analytical backbone behind our trade management decisions – spending the large majority of your time in the code, building complex data models, writing high-performance queries, and designing algorithms.
You'll be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. This role rewards speed and creativity as much as technical depth – you should be comfortable using modern AI tooling to work faster and think through problems from first principles rather than by playbook.
Key Responsibilities
Advanced Analytics & Modeling
Own the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines.
Personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems – you are the technical escalation point on trade data.
Build robust predictive models to anticipate market demand and capacity constraints, enabling Procurement to buy smarter and Pricing to sell more effectively.
Use AI tools (e.g., coding assistants, LLMs) to accelerate development, prototyping, and analysis – we want speed of thinking matched by speed of execution.
Design comprehensive dashboards (Looker/Tableau/PowerBI) that translate complex data into clear, actionable insight for senior leadership and non-technical stakeholders.
Market Intelligence & Insight Generation
Gather and synthesize external market data (indices, competitor behavior, macro-trends) and merge it with internal performance data.
Provide specific, data-backed recommendations to Trade Managers on trade lane strategy, carrier negotiations, and risk management.
Bring creative, non-obvious angles to problems – this role isn't just execution against a spec, it's originating the analysis nobody asked for yet.
Required Skills and Experience
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
5+ years of experience in advanced analytics, data science, or quantitative modeling.
Technical mastery:
Expert-level SQL (complex joins, window functions, query optimization).
Strong programming skills in Python or R for statistical modeling.
Fluent and pragmatic use of AI tools to accelerate coding and analysis.
Requirements
- ·Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- ·5+ years of experience in advanced analytics, data science, or quantitative modeling.
- ·Technical mastery:
- ·Expert-level SQL (complex joins, window functions, query optimization).
- ·Strong programming skills in Python or R for statistical modeling.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Forto, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $110k to $205k per year · You'll be taken to the employer's careers page.