Truck Transportation

CO2OPT GmbH

11-50

<p>At CO2OPT, we believe that by equipping the logistics industry with the right AI tools, we can achieve a greener planet by reducing at-least 115 Tonnes of CO2 per company per year.</p>
<p>Our goal is to deliver the technology in the hands of the businesses who move the materials in the world ensuring our connectivity and access to essential and luxurious needs.</p>
<p>In order to skip a few steps, please record a short video (3-4 mins) and send a link over answering the following questions:</p>
<ul>
<li>Short intro about background</li>
<li>Why do you want to work with CO2OPT?</li>
<li>What do you think is expected from the role?</li>
<li>From the first impression, which gaps can you think fill and not fill?</li>
<li>Please provide your salary expectation</li>
</ul>
<h2>Tasks</h2>
<ul>
<li>Apply techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing to structured data.</li>
<li>Clean, pre- and post-process data, draw insights and visualise them.</li>
<li>Draw clear actionable insights using the KPIs analysed out of the data.</li>
<li>Self-organization and result-oriented execution.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Highly passionate about data, with creative problem-solving abilities.</li>
<li>Strong SQL skills required, ideally experience with Python, Redshift, BigQuery, AWS Aurora or other PostgreSQL environments.</li>
<li>Familiarity with techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing, etc.</li>
<li>Experience with data analysis packages such as Pandas/Matplotlib stack for data cleaning, processing, and visualization ideally with experience deploying a structured code written in Python.</li>
<li>The ability to answer complex questions with clear insights, and then communicate to non-data stakeholders.</li>
<li>You possess excellent communication skills in English.</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Work for a ClimateTech startup from an early stage</li>
<li>100% remote team</li>
<li>Atmosphere of personal and professional growth</li>
</ul>

Data Analyst (2025)

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