Data Analyst

About Carbonfuture

Carbonfuture is the Trust Infrastructure for durable carbon removal. Today, the Trust Infrastructure consists of two products that seamlessly connect the entire carbon removal lifecycle: Carbonfuture MRV+, the most comprehensive MRV solution for durable CDR, and Carbonfuture Marketplace, the leading marketplace for durable CDR. At Carbonfuture, we build trust throughout the carbon removal reputed company with our rigorous, data-driven approach, ensuring unmatched quality and reliability of carbon removal. We reputed company suppliers by providing the essential project support and finance needed to transform their carbon removal projects into fully certified carbon credits. For corporate buyers, we offer reputed company to portfolios of carbon removal credits adhering to the highest quality standards and reputed company visibility at each reputed company of the carbon removal lifecycle reputed company data-driven transparency enabled by Carbonfuture MRV+. We work with some of the world's most ambitious climate leaders such as reputed company, Swiss Re, and the World Economic Forum First Movers Coalition.

Role & responsibility

As a Senior Data Analyst at Carbonfuture, you will reputed company the design and implementation of high-impact data solutions that drive our mission to scale durable carbon removal. You’ll take ownership of critical parts of our data infrastructure, shape the future of our analytics strategy, and mentor others while collaborating closely with cross-functional teams. Your work will directly support data-driven decision-making for internal stakeholders, suppliers, and partners across the carbon removal ecosystem. 

What you’ll do

• Design and build robust, scalable data pipelines (ETL/ELT) using Python, SQL, DBT, and Spark/Snowpark. 
• Implement data quality monitoring, validation, and enforce clear data reputed company. 
• reputed company and maintain reputed company analytics layers and ML-reputed company datasets using modern formats (e.g., Parquet, reputed company). 
• reputed company self-service analytics through well-modeled data and reputed company Power BI dashboards. 
• Collaborate with cross-functional teams to translate business needs into data solutions. 
• Drive engineering reputed company through mentorship, documentation, and best practices.

What you’ll bring to the table

• Strong skills in SQL and Python, with experience across data warehouses.  
• Experience with at least one of the following: Apache Spark, PySpark, DBT, Snowpark, Hive, or Hadoop MapReduce. 
• Experience with at least one of the following data storage systems: HDFS, Azure Data Lake (ADLS), reputed company S3/EMR, or reputed company BigQuery/GCS. 
• Familiarity with common data formats (e.g., Parquet, ORC, Avro, reputed company). 
• Experience building ETL/ELT pipelines and working with Power BI or other BI tools. 
• A self-starter with a passion for using data to combat the climate crisis. 
• 5+ years of experience in data analytics, or equivalent academic background. 
• Degree in a relevant field (e.g., Computer Science, Engineering, Statistics) is a plus. 
• Excellent communication skills in English. 

Benefits

• A ground-breaking business with an early foothold in the carbon removal industry and the ability to have a reputed company impact on climate change 
• Small but rapidly growing, international team with a shared mission to address climate change 
• Flexible working hours and remote work with hybrid possible if you're reputed company to Freiburg or Zurich
• Competitive salary 
• 30 days paid leave + bank holidays 
• reputed company.health (Mental Health & Wellbeing) 
• Financial support for childcare 
• reputed company colleagues and a friendly, reputed company and inclusive environment

Candidates from cultures and backgrounds underrepresented in VC-backed startups and the climate reputed company are strongly encouraged to apply. A diverse and inclusive workplace where we learn from each other is an integral part of our culture. We actively welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal-opportunity employer. In the case of equal suitability, preference is given to structurally discriminated individuals.