Python Job: Data Analyst (Dec 2022)

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.

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.

Intro to position: https://youtu.be/cCN-6A1EcMY

In order to skip a few steps, please record a short video (3-4 mins) and send a link over answering the following questions:

• Short intro about background
• Why do you want to work with CO2OPT?
• What do you think is expected from the role from you based on the video?
• From the first impression, which gaps can you think fill and not fill?

Tasks

• Apply techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing to structured data.
• Clean, pre- and post-process data, draw insights and visualise them.
• Draw clear actionable insights using the KPIs analysed out of the data.
• Self-organization and result-oriented execution.

Requirements

• A degree in computer sciences, mathematics, or statistics (or other related fields).
• Highly passionate about data, with creative problem-solving abilities.
• Strong SQL skills required, ideally experience with Redshift, BigQuery, AWS Aurora or other PostgreSQL environments.
• Familiarity with techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing, etc.
• 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.
• The ability to answer complex questions with clear insights, and then communicate to non-data stakeholders.
• You possess excellent communication skills in English.

Benefits

• Work for a ClimateTech startup from an early stage
• 100% remote team
• Atmosphere of personal and professional growth

Intro to position: https://youtu.be/cCN-6A1EcMY

In order to skip a few steps, please record a short video (3-4 mins) and send a link over answering the following questions:

1\. Short intro about background

2\. Why do you want to work for CO2OPT?

3\. What do you think is expected from the role from you?

4\. Why are you best suitable for the position?

We call this a micro-interview round : )

Looking forward!