Remotehey

** Please note: The full job description can be found on our website: https://steelwatch.org/wp-content/uploads/2025/08/European-Steel-Data-Analyst-JD-1.pdf **

Summary of the role:

As European Steel Data Analyst, you'll be employed by SteelWatch but work as part of the European Fossil-Free Steel Network (EFFSN) secretariat. You'll be the data expert supporting over 90 environmental organizations across Europe, building the evidence base needed to accelerate steel sector decarbonization.

This remote-working, Europe-based role combines technical expertise with real-world impact. You'll manage critical datasets on European steel plants, analyze industry trends, and create compelling data visualizations that inform campaigns and policy decisions. Your work will directly support efforts to transition Europe's steel industry from coal to clean energy.

To thrive in this role you must love data, and sorting it out. It is not the seniority of your experience that matters, but your ability to know what data is relevant and what is not, which methodologies are comparable and which are not. You will love collaboration across a network, enabling the work of others, and yet you will thrive working remotely on your own. You will love the intricacies of steel production facilities or love getting to know them. 

Interested? read the full job description can be found on our website: https://steelwatch.org/wp-content/uploads/2025/08/European-Steel-Data-Analyst-JD-1.pdf

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Role and Responsibilities

The core purpose of the role is to lead the data related work of the EFFSN, ensuring its effective integration into network strategy and implementation.

Key Responsibilities

Data & information mining (~30%):

• Be(come) an expert on the European iron and steel landscape - having a good overview of existing plants, and keeping track of key developments;
• Maintain a continuous overview and understanding of what is available in relevant publicly available datasets, while making sure that the EFFSN is making full use of the data available;
• Collaborate with global partners working on data tracking to build strong data partnerships, make good use of their data and evolve the role and data management approach as partners evolve their own data work;
• Identify key data gaps in existing available iron and steel data and develop systems to fill them through structured data collection and maintenance, ensuring up-to-date, accurate and actionable data is available for internal and external use.
• Monitor steel market and project developments, making it possible to pick up key announcements of relevance to the network – eg relining, stalling of green steel projects, new green steel projects – and making sure that these are integrated into internal and external datasets.
• Proactively seek out new data sources and analysis techniques that can support campaigning in the steel sector and develop innovative ways to share and visualise them.

Data provision, analysis and member support (~35%):

• Bring the data managed, as outlined in the above section into life and help identify how it can be useful to tell powerful data stories as well as for campaigns and policy and advocacy work through regular interaction with network members;
• Work closely with the EFFSN secretariat to:

1. Respond to specific member requests.
2. Inform network strategy and campaign development, ensuring campaigns are data-driven, targeted, timely, and grounded in evidence.
3. Identify opportunities and pressure points for systemic impact

• Develop and maintain unique, consolidated internal resources — bringing together critical information on steel plants, companies, and transition pathways across Europe

Campaigning products and tools (~35%):

• Analyse and synthesise trends and findings on the steel sector for internal and external audiences. This could be working with the communications officer to prepare content for a range of outputs e.g. blogs, briefings, reports, social or traditional media and data visualisations
• In close collaboration with the EFFSN secretariat, conceptualise and drive the development of a minimum of one visualisation product or tool that supports communications and campaigns. This would be a web-based tool, such as a digital countdown or a transition map tool.

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Essential skills and experience

• Four or more years of experience with quantitative data management and analysis, including dataset matching and finding data sources;
• Ability to manage, interpret and communicate data, identifying the most relevant facts and trends;
• Experience developing data visualisations;
• Strong skills in fact-checking and verifying information, meticulous attention to detail;
• An ability to compare and align methodologies and to know when comparability is not wise or possible;
• Knowledge of industrial decarbonisation;
• Ability to drive strategic thinking and the direction of data work, and to connect data and analysis to campaigning, policy and advocacy strategy;
• Ability to work independently and remotely;
• Ability to communicate clearly and concisely, orally and in writing;
• Proficiency in using MS Excel, VBA, Python modules or MS Access, experience with SQL;

Aptitude

• A team player and a natural collaborator who can work with a diverse set of European and global actors;
• An aptitude for and inclination towards solving problems;
• Curiosity and initiative to investigate potential new data sources, such as national and subnational emissions registries, data from different geographical regions (including beyond Europe), local air pollution records, energy consumption, or corporate mandatory or voluntary reporting documents.
• Passionate about a healthy, environmentally-friendly and fair society with a commitment to using data to drive action and tackle climate change;
• Self-starter, highly organised, able to balance multiple priorities.

Additional desired skills and experience

• An understanding of the iron and steel sector;
• Experience with benchmarking climate change mitigation, including experience with emissions accounting, the EU Emission Trading System and the European Pollutant Release and Transfer Register;
• Ability, or willingness to learn, to work with APIs, perform scraping, and handle geodata;
• Experience working with flourish;
• Familiarity with the needs and approaches of campaigners and the role of data in driving campaign impact;
• Experience working in the civil society space.

Language requirements

• Ability to work in English at a professional level is a requirement. Additional skills in European languages are useful.

Practical Information

Location: Remote work from home base in timezone UTC-1 to UTC+1 (Europe). Must have valid work authorization in country of residence. While we offer flexibility for you to work away from home base, this will need to be coordinated with travel of other colleagues, may depend on timezone changes and/or be limited by legal contracting constraints.

Contract: 12-month initial contract with possibility of renewal. Depending on your location and preferences, this can be either a consultancy contract or employment contract via Employer of Record. We cannot support visa applications.

Working arrangement: This role can be either 4 or 5 days per week (full-time or 0.8 FTE) depending on your preferences and our mutual agreement.

Remuneration: Expert role €46,506-€67,176 (Netherlands base rate for 5-day role, adjusted by location according to SteelWatch's geographic salary factors and pro-rated for 4-day arrangements)

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How to apply: We're looking for someone genuinely excited about this opportunity. Please be sure to review our work at SteelWatch.org and our LinkedIn profile before applying.

Submit to [email protected] (applications submitted via Linkedin EasyApply or missing this information will not be considered):

• Cover letter (2 pages max) including responses to the questions below, plus your country/work authorization status, salary expectation, and availability to start
• CV (3 pages max) Filename must include your name (not "SteelWatch application")

In your cover letter, please help us understand why this role excites you as your next step, and which elements suit your specific skills. We often receive many generic applications which appear to be written by AI, but we will be looking for your personal take on the role and opportunity.

Cover Letter Questions (one paragraph each, max 300 words):

1. Describe your most relevant data analysis experience - what datasets did you work with, what tools did you use, and for what purpose?

2. What is one top challenge you have encountered when building a dataset with a range of data sources?

Timeline:

• Application deadline: September 23, 2025, 12:00 CEST
• First interviews: October 13-16, 2025
• Second interviews: November 3-6, 2025

Process: Applications reviewed on rolling basis. This is a critical role for us and we will invest effort in finding the right fit between our needs and applicants’ skills. You should expect to be asked to do at least one technical assignment during the interview process and quite possibly two. References will be requested before a final decision is taken.