Signal
Business Intelligence Analyst

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About Signal Ocean
Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence, our technology suite provides tailored, exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows, and applying advanced analytics, insights are delivered over web and mobile applications, as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our client’s system topologies.
About the Role
We are looking for a Business Intelligence Analyst to join our growing Analytics team and help shape the next generation of shipping intelligence through AI-driven workflows.
In this role, you will transform raw data into actionable insights, build intuitive dashboards that support data-driven decision making, and work closely with product and commercial teams to better understand and address client needs.
As AI becomes increasingly embedded into analytics workflows, we are especially interested in candidates who are comfortable leveraging modern AI tools (e.g. Claude Code, Copilot, ChatGPT, etc.) to accelerate analysis, automate workflows, and create more intuitive and impactful analytical products.
At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You Will Do in This Role
- Analyze complex datasets to create meaningful data sources across diverse shipping topics
- Leverage the latest AI tools to extract, analyze, and visualize actionable business insights
- Build intuitive dashboards that deliver insightful storytelling and support strategic decision making
- Translate client and business needs into analytical solutions and impactful reporting
- Collaborate closely with product, data, engineering, and commercial teams
- Use AI-powered tools to improve analytics workflows, dashboard creation, and insight generation
- Identify trends, disruptions, and market patterns across shipping data
- Contribute to the development of next-generation analytics products and reporting capabilities
Requirements
- 3+ years of experience in a Data Analyst / BI Analyst role
- Strong analytical, problem solving and critical thinking skills
- Hands-on experience with SQL and interpreting complex datasets
- Proven experience building intuitive dashboards and visual storytelling solutions
- Practical experience leveraging AI tools and prompting techniques to deliver product features
- Strong communication and teamwork skills
Strong Plus but Not Required
- Ability to work cross-functionally with other product teams using Github and Jira
- Shipping or commodities industry knowledge
If you are passionate about analytics, AI-enabled workflows, and solving complex industry problems through data, we would love to hear from you.
Benefits
- Generous compensation with additional performance incentives.
- Coverage under the company’s collective health insurance plan.
- Opportunity to work alongside experienced people with deep knowledge in software engineering, data science & shipping business who are always eager to mentor.
- Signal’s hybrid remote work policy currently includes 9 working days at premises per month, during which happy hour events take place.
- 2-4 weeks of onboarding training to prepare you for your new role, having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
- Career growth opportunities and a structured development discussion every 4 months.
- Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority).
- Regular team bonding events and activities.


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Company Policies
- Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.
- All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.
We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal, we believe that diversity of opinions, approaches and viewpoints is key to our innovation and success and we encourage that with our hiring, development and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.
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