Analytics Engineer

Greenpeace Nordic; København; On-site; DKK 420,000 - 516,000; Full time

Job summary

Greenpeace Nordic is seeking an Analytics Engineer to build, maintain and optimize data pipelines and the Civis/Tableau analytics stack. You will ensure the data warehouse is healthy and data requests are delivered accurately to support fundraising and campaigns.

You will design and automate data transformations using SQL and Python, collaborate with the CAI team, and translate business needs into scalable data solutions that empower decision making across the organisation.

Qualifications

• Bachelor’s degree in IT, Marketing, Business or equivalent work experience.
• Minimum 3 years work with large databases.
• At least 2 years’ experience with marketing, fundraising or financial data.
• Strong SQL and Python skills.
• Experience with data modeling and pipeline development.
• Experience with Civis and Tableau is beneficial.

Responsibilities

• Serve as technical partner to understand operational needs and deliver data solutions.
• Manage end-to-end data request pipeline with timely delivery.
• Write and optimize complex SQL transformations for cleaning, aggregation, and logic.
• Develop data flows to move data securely across departments.
• Investigate and fix data ingestion failures and performance issues.
• Advance the data warehouse to meet operational and analytical needs.
• Administer Civis and Tableau for analytics consumption.
• Create and run complex queries and ad-hoc data extractions.

Skills

Data modeling

Advanced SQL

Python

Data transformation tools

Data warehouse maintenance

Civis/Tableau administration

Architectural principles

Education

Bachelor’s degree in IT/Marketing/Business

Tools

Civis

Tableau

dbt

SQLmesh

Job description

Join our Tech team at Greenpeace Nordic. We're looking for an Analytics Engineer focused on execution and delivery to build, maintain, and optimize the data solutions that power our mission-critical operations.

What we believe in

We are an equal opportunity employer with a longstanding commitment of providing a work environment that respects the dignity and worth of each individual. We value the benefits and strengths that diversity brings, and we thrive in an environment that encourages respect and trust. We promote equity, diversity and inclusion in our workplace and welcome applications from all sections of society.

About us

Greenpeace is a global network of campaigning organisations, working for a green and peaceful future. It comprises 26 independent national/regional Greenpeace organisations (NROs) in over 55 countries across Europe, Africa, the Americas, Asia and the Pacific, as well as a co-ordinating organisation, Greenpeace International. We expose global environmental problems and force positive changes through research, lobbying and non-violent direct action. For more information, please see www.greenpeace.org.

Purpose of the role

The CRM, Automation and Intelligence Unit is responsible for the management and use of the data systems which both store and process supporter information so that Greenpeace Nordic can build rewarding, engaging and financially successful relationships with our supporters. As part of this team you will play a key role in ensuring the smooth functioning of data related processes and administration.

Scope of the work

The Analytics Engineer main responsibilities will be to support business with design, development and automation of the Greenpeace data pipeline and services. You will ensure that our data warehouse is intact and our Civis analytics platform would be maintained and optimized for business to utilise the various insights. Another aspect would ensure our data request pipeline would be delivered timely and be a sparring partner or a soundboard for the business when data is going to be utilised. The Analytics Engineer will work closely and collaborate with business.

The Analytics Engineer is also responsible for the delivery of routine reports, automatised and ad hoc data extractions and imports between our CRM system and Data warehouse, analysis, and administration and training in basic use of our analytics and reporting tools such as Civis and Tableau.

You will be an integral part of the CRM, Automation, and Intelligence (CAI) team. This role’s primary responsibility is implementing and maintaining robust data pipelines and delivering high-quality data assets to the business.

Key Responsibilities:

• Serve as a technical partner to the business, ensuring deep understanding of operational needs to deliver the most relevant and impactful data solutions.
• Manage and execute the end-to-end data request pipeline, ensuring timely, accurate delivery and clear communication with stakeholders.
• Write, implement, and optimize complex SQL transformations for data cleaning, aggregation, joining, and business logic.
• Develop and execute organizational data flows to move data securely across departments, maintaining a clear overview of any changes.
• Proactively identify, investigate, and fix discrepancies, failures, and performance degradation in data ingestion and transformation jobs.
• Deliver continuous development and optimization of the data warehouse to ensure it contains high-quality, relevant data for operational and analytical needs.
• Administer and manage the analytics consumption environment (e.g Civis and Tableau), ensuring smooth data access and utilization by the business.
• Create, test, and run complex standard and ad-hoc queries for data integrity assurance and specific data extraction initiatives (e.g., fundraising appeals).

We are looking for a skilled professional who is ready to execute and deliver using the following expertise:

• Mastery of data modeling, transformation logic, and advanced SQL for pipeline development and optimization.
• Proven proficiency in Python for data manipulation and automation, committed to high-quality coding standards.
• Expertise in data warehouse maintenance, including applying incremental changes, managing data retention, and ensuring data quality and security.
• Practical experience in the administration and technical management of analytics and business intelligence platforms like Civis and Tableau.
• Ability to apply architectural principles to build scalable, maintainable data assets.

Interpersonal skills & mindset:

To succeed in this highly accountable role, you must be a person who is able to:

• Translate complex business requirements into deliverable technical solutions by understanding the "why" behind the data.
• Accurately diagnose and resolve complex data flow and system integration issues, moving quickly to resolution.
• Be self-driven and capable of proactively planning and managing your workload to ensure all deadlines are met.
• Communicate with excellent English; proficiency in a Nordic language is an advantage.

Qualifications:

• Bachelor’s degree in IT, Marketing, Business or other associated field and /or equivalent work experience.
• At least 3 years of relevant working with large databases
• At least 2 years’ experience working with marketing, fundraising or financial data
• Good understanding of the Analytics Engineering principles and at least one data transformation tool (dbt, SQLmesh)
• Advanced SQL and Python skills
• Skills for managing multiple projects, working to a timeline and with sensitive information
• Ability to work with minimal supervision, deal with stressful situations and meet deadlines.

We aim to complete the hiring process by October. While we cannot offer a high salary, we offer a role with profound meaning and impact. The starting salary range is between 37 639 DKK and maximum 46 193 DKK, depending on the candidate's relevant experience and competencies. Your thoughts and ideas will be heard, valued, and directly contribute to our mission to protect the planet.

Additional information:

This is a permanent position and it is located in Copenhagen, Denmark

Last day to apply is 25.09.2026.

If you have any questions, don't hesitate to get in touch with Jin Halvorsen (Fundraising Manager and Head of CAI, Greenpeace Nordic) at email [e-mail] or phone [phone] (Mon - Fri)