Data Product Manager – Analytics

Egon Oldendorff Management GmbH; Hamburg; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

Oldendorff Carriers is seeking a Data Product Manager in Analytics to drive data-driven decision making. You will link business areas such as Chartering, Finance, Fleet or Operations with Data Engineering, shaping solutions from scoping to adoption.

The role requires SQL and Python proficiency, 3+ years in analytical or product roles, and a passion for AI-enabled analytics. You will own roadmaps, maintain semantic definitions, and enable self-service insights for business users.

Qualifikationen

• Strong ability to translate business problems into data product scope.
• Experience partnering with stakeholders across Chartering, Finance, Fleet or Operations.
• Proficient in SQL/Python to explore and validate data.
• Experience designing self-service analytics and AI-driven insights.
• Genuine interest in applying AI tools to analytics.

Aufgaben

• Act as analytical partner translating business needs into data product requirements.
• Own roadmap across a portfolio of data products.
• Maintain semantic layer with consistent definitions and metrics.
• Enable self-service insights via AI-driven interfaces and prototyping.
• Prototype and hand over production-ready prototypes to Data Engineering.
• Coordinate testing, rollout and refinement based on user feedback.

Kenntnisse

SQL

Python

Stakeholder mgmt

Data products

AI tooling

Tools

Databricks

Jobbeschreibung

Join Oldendorff Carriers as a Data Product Manager in Analytics and help make data‑driven decision‑making a genuine strength of Oldendorff. You will focus on one of our core business areas, such as Chartering, Finance, Fleet or Operations, acting as the primary link between that business and Data Engineering. The business defines the problem and the outcome it needs; you own how that outcome is achieved, from initial scoping through to real adoption in daily decision‑making.

Job Responsibilities

• Act as the main analytical partner for stakeholders in areas such as Chartering, Finance, Fleet and Operations, translating business problems and desired outcomes into clearly scoped requirements and solution design, working iteratively with Data Engineering on feasibility and challenging technical constraints where they affect what gets delivered.
• Own the roadmap across your portfolio of narrowly scoped data products and shape how work is sequenced based on business priorities.
• Maintain the semantic layer for your data products, ensuring consistent business definitions, metrics and AI‑readable context, aligned with the organisation’s master data and single‑source‑of‑truth principles.
• Enable self‑service access to your data product’s insights, primarily through AI‑driven tools such as conversational interfaces, natural‑language querying and proactive AI‑generated insights, so business users can get answers themselves. Where a dedicated interface is genuinely needed, prototype it yourself using AI tools to move fast and validate the concept; any prototype intended for production is handed over to Data Engineering for industrialisation once it passes defined maturity and governance criteria, while you retain ownership of the data product itself.
• Use working proficiency in SQL and Python to explore data independently and validate outcomes against business logic.
• Coordinate testing, rollout and ongoing refinement of your data products based on user feedback and evolving business needs, ensuring they are genuinely adopted and used for real decisions.

What success looks like

• Management and stakeholders proactively bring you into their thinking early, not because a process requires it, but because your input makes their decisions better.
• Your data products are actually used and trusted for real decisions, not just delivered and shelved.
• Data Engineering can build confidently because what you have handed them is clear and well scoped.

What You Bring Along

Must‑have

• At least 3 years of experience in an analytical, product or stakeholder‑facing role.
• Strong ability to understand business problems and stakeholder needs, ask the right questions to clarify intent and translate ambiguous input into clear, actionable scope and solution design.
• Ability to communicate complex analytical concepts clearly to both business stakeholders and technical teams, adapting your language and level of detail to the audience.
• Working proficiency in SQL and Python, sufficient to explore data independently, build prototypes and hold your own in technical conversations with Data Engineering.
• Confidence working with metrics, KPIs and semantic or business definitions.
• Genuine interest in applying AI tools to analytical work and comfort adopting new tools as they emerge.
• A proactive, hands‑on approach: comfortable prototyping and iterating with imperfect information and moving a topic forward rather than waiting for ideal conditions.
• Excellent command of written and spoken English (the company’s working language).

Nice‑to‑have

• Experience in or familiarity with shipping, commodity markets, macroeconomic analysis or finance.
• Familiarity with Databricks, our core data platform.

What We Offer

• Our corporate culture is special: relaxed and international, open and traditionally with flat hierarchies.
• Since the very beginning, teamwork and quick decision making have been our success factors. Encouraging our employees to realize their ideas and initiatives is as important to us.

Interested?

We look forward to receiving your application. Oldendorff Carriers does not accept paper applications for online postings.