Senior Data Analyst (Maternity Cover FTC)

We’re seeking a Senior Product Analyst to join our Business Intelligence (BI) team. This is an 18-month fixed-term contract for maternity cover. This role combines advanced analytical skills with direct ownership of our data infrastructure and pipelines. You’ll partner closely with Product, Marketing, Operations, Engineering, and leadership teams to transform raw data into trusted, scalable insights that inform strategic decision-making. Drawing on solid data management, and problem-solving skills, you’ll optimize the flow of data from collection and modelling, through to high-quality analysis that supports business objectives and advances our mission to solve the climate crisis. As a data analytics specialist at Ecosia, you’ll help ensure accurate, reliable data and clear reports and insights are delivered across the organization. What you’ll be doing: Partner with Product, Marketing, Operations, and Engineering teams to analyse user and business data, delivering actionable insights and recommendations that inform strategy, prioritisation, and roadmap decisions Collaborate with Product teams to design, execute, and evaluate A/B tests, supporting product optimisation and strategic planning Maintain and improve statistical testing methodologies and experimentation practices Develop efficient data models using dbt and integrate new data sources Ensure that our data structure supports analytical and stakeholder needs Work with data collected through our Snowplow event tracking to generate insights while respecting our privacy-friendly philosophy Write optimised SQL queries and perform advanced data analytics, to support reporting, automation, experimentation, and performance tracking Design, develop, and maintain dashboards and reports using Looker and Metabase to enable self-service, data-driven decisions Ensure the delivery of accurate, reliable, and consistent data through robust governance, validation, and quality assurance processes Collaborate effectively with cross-functional teams to communicate insights and promote a data-oriented mindset Ultimately, use data to enable growth, deliver value to users, and support our mission to solve the climate crisis What you bring: 5+ years of experience working with data, including extracting and integrating data from multiple sources into a data warehouse or data lake Solid business acumen and experience using data to inform strategic decisions Advanced SQL skills; experience with Python is a plus Effective communication skills, with the ability to translate complex analyses into actionable insights and business impact for executive and non-technical stakeholders Solid understanding of analytical and statistical techniques such as churn modelling, regression analysis and A/B testing Practical experience with querying and data visualisation tools e.g., Metabase Understanding of modern data architecture and familiarity with data ingestion, storage, and transformation processes to convert raw data into insight-ready formats Experience designing scalable data workflows and automating processes to improve data quality, reliability, and accessibility across the organisation Experience with Git-based source code management (e.g., GitHub, GitLab, Bitbucket) A creative and pragmatic approach to problem solving, with the ability to work across multiple data sources and ambiguous problem spaces Fluency in English Respect for privacy and awareness of data protection legislation in the EU, UK, and US Nice to have: Python and advanced statistical methods Experience with our data tech stack: Analysis, Visualization & Storytelling: Looker, Metabase Data Modeling: dbt Data Warehouse/Lake: AWS Redshift, Spectrum, S3, Athena, Glue ETL: Airflow (Python), Airbyte Tracking: Snowplow (JavaScript) Experience in a B2C tech company, with a focus on frontend tracking analytics, in search and digital advertising A degree in a data-related field is helpful but not required (Computer Science, Data Science, Statistics or other STEM degrees) We recognize that you may need further development in some areas, and we encourage you to apply even if your profile does not meet all of the requirements for the role: we encourage and support growth and development for everyone. Hiring process: Our hiring process consists of four steps: Intro call with our Talent Acquisition Partner (30m) Technical Interview with the team (45-60min) Case study (2-hour prep + 1-hour presentation and discussion) Final, non-technical interview Why Ecosia? What if your job made a real difference in the climate crisis? Join Ecosia and help plant millions of trees where people and ecosystems need them most. We are a diverse team, committed to equality, equity, and inclusion, with members from various backgrounds: sexual orientations, genders, ages, races, ethnicities, nationalities, physical and mental disabilities, family structures, and religions. We offer you the opportunity to balance work with other parts of your life: flexible working hours, 30 vacation days per year (based on a five-day workweek), designated Focus Times, and remote work options. (Note: Not applicable to freelance contracts; different labor laws may apply in other countries.) Our green benefits program - including subsidized public transport cards and bike inspection services - supports your sustainable living choices in Berlin. (Availability may vary by location; not applicable to freelance contracts.) We support your professional growth through learning times, hack days, online and physical libraries, and continuous feedback. (Not applicable to freelance contracts.) Q&A How many people work at Ecosia? About 100! Our departments include Engineering, Product, Marketing, Trees, People, and Operations. Our eng & product teams work in a cross-functional set-up, forming 7 teams. Where is Ecosia based, and what kind of work setup do we have? We are a remote-friendly company with one office in Berlin-Wedding. People come to the office or work from home per their wishes and/or circumstances. Some roles require presence in the office at least from time to time. Company language: English.