data-science

Klim

<div><p>Join the movement at Klim, a Berlin-based clean-tech company on a mission to transform climate protection through the widespread adoption of regenerative agriculture across Germany and Europe. Our vision is a thriving earth with a fully regenerative system that protects the world’s most precious resource: Soil.</p> <p>At Klim, we've pioneered the world’s first digital platform for regenerative agriculture, empowering thousands of farmers to champion sustainable practices. We provide financial compensation to farmers for their regenerative practices and offer high-quality advisory services. We connect the farmers with forward-thinking companies who want to invest in a greener future. By purchasing the carbon credits generated from these sustainable practices or implementing regenerative agriculture in their food supply chain, these companies not only fulfill their environmental responsibilities but also fuel a cycle of positive change.</p> <p>Now, we're looking for a Data Analyst to join our dynamic team. In this role, you'll have the opportunity to be at the forefront of change, driving impactful insights and reporting to guide and shape our company as it grows.</p> <p>Backed by visionary investors like Atlantic Food Labs, Ananda Impact Ventures, and AgFunder, we're on a trajectory of growth and innovation. If you're ready to make a difference and be part of something truly meaningful, join us at Klim, and together, let's cultivate a brighter tomorrow for all.</p> <h2>Tasks</h2> <ul> <li>Analyze sales, operational, and product datasets and extract relevant insights</li> <li>Work with stakeholders to design effective reporting and dashboarding; and to define and refine meaningful KPIs</li> <li>Understand business logic, build context, and deliver insights in the form of analyses, recommendations, visualizations, and presentations</li> <li>Contribute to the development and maintenance of robust internal data models</li> <li>Perform ad-hoc requests as necessary</li> </ul> <h2>Requirements</h2> <ul> <li>Minimum three years experience in an analytics or analytics-adjacent role; or educational equivalent</li> <li>Strong statistical background with intermediate to advanced knowledge of SQL. Python knowledge is beneficial</li> <li>Experience using Apache Superset or a similar BI tool for reporting and visualization</li> <li>Experience using DBT</li> <li>Excellent communication skills to relay complex findings to non-technical audiences</li> <li>Comfortable working independently with loosely defined problems</li> <li>Full working proficiency in English. German language skills are a plus</li> </ul> <h2>Benefits</h2> <p><strong>Opportunity:</strong> Be part of our journey from the very beginning, working on an equal footing with the leadership team to build a new company</p> <p><strong>Impact:</strong> Make a daily and active contribution to combating climate change, promoting consumer education, and fostering fair conditions for our climate-conscious farmers</p> <p><strong>Autonomy:</strong> Take ownership of your projects and enjoy a high degree of creative freedom</p> <p><strong>Competitive package:</strong> Receive a competitive salary and have the opportunity to participate in our VSOP program</p> <p><strong>Flexible work model:</strong> At Klim, we foster a flexible, hybrid work approach and facilitate remote work (within the EU). For this role, it is important that you live in Berlin or can be present in our beautiful office on a regular basis.</p> <p><strong>Additional benefits:</strong> We offer membership in the Urban Sports Club, a company pension scheme, team lunches (if in Berlin) and regular team events</p> <p>We are looking forward to meeting you! At Klim, we place great value on equal opportunities. We believe that an outstanding work environment should reflect diversity of backgrounds, talents and thoughts. Together, we grow as a team based on our individual strengths. Every personnel decision is made solely on the basis of qualifications, performance and the requirements of the company.</p></div>

(Senior) Data Analyst

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