Job Description
Company Description
Work smart, have fun and make an impact!
Our purpose is to guide all companies toward a sustainable world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.
Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.
Learn more about our team and culture on EcoVadis careers page.
Job Description
The Financial Modeling and Automation (FM&A) team sits at the crossroads of Finance and Technology: building the tools, models, and pipelines that power EcoVadis’ financial planning and reporting. We are looking for a Senior Associate who combines a solid foundation in finance with a continuous learning mindset and an interest in evolving their technical skill set.
You will be joining a team that works hands-on with Databricks, Pigment, and Azure. You should be comfortable with data, eager to develop your technical skills quickly, and able to communicate effectively and build strong collaborative relationships across both Finance and Engineering teams.
AI & What’s Ahead? We already use Claude and Copilot daily for SQL generation and code acceleration. And we expect you to confidently leverage these tools as part of your daily workflow from an early stage. Judgment, business translation, and stakeholder decisions stay human, but AI handles the rest. As for growth, the path is yours to shape - whether that’s senior engineering, platform ownership, or building AI Agents into financial workflows.
Responsibilities
Finance Data & Databricks
- Support the development and maintenance of finance-domain data pipelines and models in Databricks.
- Write, modify, and optimize SQL queries; grow your Python skills over time.
- Contribute to the Pigment ↔ Databricks integration as you build familiarity with both platforms.
- Gradually take on greater ownership of the finance data layer as experience grows.
Financial Tools & Reporting
- Build, maintain, and improve financial applications and models in Pigment.
- Support budgeting, forecasting, and month-end close process tooling.
- Automate manual reporting workflows.
- Develop automations across all EcoVadis teams (e.g. in HR, Accounting, Frontline, etc.).
Collaboration
- Work closely with Finance functions, Frontline teams (Sales, Customer Success, Marketing, etc.), Business Intelligence, and Data Engineering on shared data needs to act as a bridge between different stakeholders and technical teams.
Qualifications
- 5+ years of experience in finance, controlling, or a data-adjacent role in a finance environment.
- Hands-on experience with Databricks - comfortable running notebooks, writing SQL, and understanding data workflows.
- Strong SQL skills; Python proficiency is a plus.
- Demonstrated experience using AI tools in finance or data workflows; able to prompt, evaluate, and integrate LLM-based solutions; exposure to building or prototyping AI Agents is a plus.
- Good understanding of financial processes: budgeting, forecasting, month-end close.
- Strong organizational skills, with a proven ability to manage tasks independently from inception to completion.
- Strong communication skills; business-level English.
- Working knowledge of Microsoft Azure basics (storage, access, ADF) with the willingness to expand the knowledge to expert level.
- Analytical approach / attention to detail
Nice to Have
- Experience with Pigment, Anaplan, or a similar FP&A platform.
- Familiarity with Tableau, Power BI, or another BI tool.
Additional Information
- Applicants must be eligible to work and live in Poland
- Hybrid in Warsaw (4 days per month in the office)
- Contract of Employment
- The salary range will be shared following the skills assessment stage of this recruitment process
In return for your expertise, we offer:
- Support with all the necessary office and IT equipment
- Flexible working hours
- Wellness allowance for mental and physical wellbeing
- Access to professional mental health support
- Referral bonus policy
- Learning and development
- Sustainability events and community involvement
- Peer recognition program
- Employee-led resource groups
- Optional (fully covered or co-financed) health care and life insurance
- Multisport card
- Multikafeteria
- Lunch card
- Hybrid work organization
- Remote work from abroad policy
- Internet and Electricity bill allowance
- Additional day for community service when volunteering
Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!
Don’t meet all criteria? Please apply anyway. We welcome diverse candidates and want to assess your skills and potential contribution to EcoVadis, regardless of your background.
Can the hiring process be adjusted to suit my needs? Yes. We want all candidates, including people with disabilities, people with long-term health conditions, and neurodiverse applicants, to feel confident demonstrating their potential. If you require adjustments, such as interview questions in advance, please inform the hiring team.
Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on characteristics such as color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. To reduce bias in hiring, applicants are encouraged to remove personal details such as photos, marital/parental status, religion, gender, postal code, university name/graduation date, past leave details, and nationality (instead, confirm eligibility to work in the job location).
Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions.
