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Data Analyst Finance

Posted on Oct. 29, 2025

  • Paris, France
  • 0 - 0 USD (yearly)
  • Full Time

Data Analyst Finance job opportunity

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CEVA Logistics provides global supply chain solutions to connect people, products, and providers all around the world. Present in 170+ countries and with more than 110,000 employees spread over 1,500 sites, we are proud to be a Top 5 global 3PL.

We believe that our employees are the key to our success. We want to engage and empower our diverse, global team to co-create value with our customers through our solutions in contract logistics and air, ocean, ground, and finished vehicle transport. That is why CEVA Logistics offers a dynamic and exceptional work environment that fosters personal growth, innovation, and continuous improvement.

DARE TO GROW! Join CEVA Logistics, and you will be part of a team that values imagination and continued learning and is committed to excellence in everything we do. Join us in our mission to shape the future of global logistics. As we continue growing at a fast pace, will you “Dare to Grow” with us?
Your role

Be the analytical backbone of Global Business Development. You’ll convert raw commercial and operational data into clear, actionable insights that steer profitability and growth — with high exposure to senior management (BD, Product, and Finance leadership) across the full sales lifecycle from pipeline → award → traded business.

What are you going do

Analytics, Data & BI

  • Own global KPI design, calculation, and governance (customer, product, region; budget/award/traded views).
  • Build scalable datasets and models; drive data integrity and single-source-of-truth across CRM, financials, and ops.
  • Develop and automate dashboards (Excel/Power BI) used in C-level reviews; explain drivers and “so-what” succinctly.
Performance controlling (Traded Business | P&L)

  • Deliver customer profitability views; identify margin leakage and quantify drivers (price, mix, ramp-up, churn).
  • Standardize Budget ↔ Awarded ↔ Traded methodology; perform bridges, variance analysis, and root-cause narratives.
  • Coordinate regional BD controlling to ensure consistent methods and best-practice sharing.
Pre-Trade (Pipeline, Tenders, CRM)

  • Challenge tender assumptions (costs, volumes, risks) and build robust financial models.
  • Track booking trends and new-wins vs base performance.
Planning & cost discipline

  • Lead budgets and rolling forecasts for nominated Century & Elite accounts; align Product Sales budgeting with Finance & Ops.
  • Track BD SG&A (staff, travel) and support cost-effectiveness analyses with Global Sales Excellence.
Senior Management & exposure

  • Act as a trusted partner to BD/Product leadership; run performance reviews; recommend corrective actions with measurable KPIs.
  • Prepare and present insight packs for senior management and global forums.
What we are looking for

  • 3–5 years in controlling / commercial analytics / pricing / FP&A, ideally in logistics; freight forwarding is a strong plus.
  • Solid finance toolkit: P&L, margin/ROS, revenue/mix bridges, scenario modeling, risk-based thinking.
  • Excel (advanced): Power Query/Power Pivot, pivot tables, INDEX MATCH/ XLOOKUP/SUMIFS; Power BI ; Python nice-to-have.
  • Proven ability to translate data into decisions and to influence senior stakeholders; fluent English.
As a global organization, and as part of the CMA CGM Group, diversity is critical to our business success; only when we can reflect the cultures, languages, behaviors and local knowledge of our customers, we can succeed. By employing people with different experiences and abilities, we expand our knowledge and increase our creativity and innovation.

Please note: Legitimate CEVA Logistics recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn or via an official company email address: firstname.lastname@cevalogistics.com. We recommend that you do not respond to unsolicited business propositions and/or offers from people with whom you are unfamiliar.

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