Senior/Principal Consultant- Sustainable Data Analysts
Anthesis GmbH
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Details
- Unternehmen
- Anthesis GmbH
- Standort
- Frankfurt am Main
- Bereich
- Stadtwerke
- Vertragsart
- Vollzeit
- Unternehmensgröße
- Große Unternehmen (250 - 999 MA)
- Aktualisiert
- 15. August 2026
Geschätztes Gehalt (TVöD)
3.042 – 5.260 €
Entgeltgruppe E6-E10 · brutto/Monat
Schätzung basierend auf TVöD-VKA Entgelttabelle. Das tatsächliche Gehalt hängt von Eingruppierung und Erfahrungsstufe ab.
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Stellenbeschreibung
Senior/Principal Consultant- Sustainable Data Analysts
Department: Circ. & Value Chain Trans. : Advisory
Employment Type: Permanent - Full Time
Location: Germany - Frankfurt
Description
Anthesis is seeking a Sustainability Data Expert to join our Circularity and Value Chain Transformation team. (Note: We are welcoming applicants based in the UK and EMEA for this role.)
This role is critical in helping clients transform complex sustainability, packaging, product, waste, and regulatory data into meaningful insights that support compliance, business decision-making, and sustainability outcomes.
As a senior technical specialist, you will combine sustainability expertise with advanced analytical capabilities to manage, analyse, and interpret large and complex datasets.
You will develop robust methodologies, perform complex calculations, oversee data quality and assurance processes, and support clients in understanding the story behind their data.
A significant proportion of the role will focus on regulatory compliance requirements, including Extended Producer Responsibility (EPR), the Packaging and Packaging Waste Regulation (PPWR), and other sustainability reporting obligations.
Working closely with clients and project teams, you will ensure analytical outputs are accurate, auditable, and defensible while communicating complex findings in a clear, concise, and actionable manner. You will also play a key role in mentoring team members, setting technical standards, and building capability across the wider team.
Key Responsibilities
Lead the analysis of large, complex sustainability datasets, delivering robust, high-quality outputs that support client decision-making and regulatory compliance.
Design and execute complex calculations, methodologies, and analytical approaches tailored to specific client needs, using tools such as Alteryx, Excel, Power Query, Power BI, and other analytical platforms.
Manage data collection, cleansing, validation, transformation, and interpretation processes to ensure data accuracy, consistency, and reliability.
Develop and maintain transparent methodologies, assumptions, calculation logic, and audit trails that support accurate reporting and regulatory submissions.
Identify data gaps, inconsistencies, and quality issues, implementing practical solutions and clearly documenting assumptions where data limitations exist.
Support clients with compliance and reporting requirements related to EPR, PPWR, and other sustainability regulations, ensuring analytical outputs are robust, traceable, and defensible.
Act as a trusted advisor to clients, translating complex analytical outputs into clear and compelling insights that inform strategic decisions.
Produce high-quality reports, presentations, dashboards, and visualisations that communicate the key messages behind the data to both technical and non-technical audiences.
Provide technical leadership across projects, overseeing the work of more junior members of the team to ensure consistency, accuracy, and quality.
Establish and maintain analytical standards, methodologies, quality assurance procedures, and best practices across the team.
Mentor and train colleagues, contributing to capability building and continuous improvement in sustainability data analysis and reporting.
Support business development activities through technical input into proposals, client discussions, and the evolution of Anthesis sustainability data and analytics services.
Skills, Knowledge & Expertise
Bachelors degree in Sustainability, Environmental Science, Engineering, Data Science, Mathematics, Statistics, Information Systems, or a related discipline. Masters degree desirable.
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