Senior Analyst

Data Science / Data minining
February 9, 2023
Full Time
Urgent

Apply for this job

Email *

Job Description

About Datatorq

We are a start-up helping automotive, and mobility companies make informed decisions about their product and pricing strategy. Our mission is to disrupt existing market solutions with top-notch analytical tools and the latest advancements in data science and machine learning. Our small team is just one year old, so this is an excellent opportunity to join an entrepreneurial environment and grow fast. We are looking for an analyst to join our team from anywhere in Europe.

Your mission in the team:

⁃ Be in charge of the quality of data in our databases;
⁃ Collect and update product and pricing data across major automobile markets;
⁃ Master a vast array of data points and dimensions present in our databases;
⁃ Build new analytical tools and improve existing ones;
⁃ Build monthly reports and present them to clients;
⁃ Provide actionable insights to help improve clients’ product pricing strategy.

Must-haves:

⁃ Experience in a data analytics role with an exceptional track record;
⁃ Comfortable working with large data sets;
⁃ Strong analytical and problem-solving skills;
⁃ Rigour, attention to detail and accuracy;
⁃ Team player with a drive for improvement and optimisation;
⁃ Ability to find and analyse relevant information from open sources;
⁃ Advanced Excel skills;
⁃ Proactive and autonomous;
⁃ Can-do attitude and data-driven mindset;
⁃ Fluency in English.

Nice-to-haves:

⁃ Experience or interest in the automotive industry and mobility solutions;
⁃ Supervision or management experience;
⁃ Data visualisation tools (e.g. Tableau, Power BI);
⁃ Google cloud / Big Query;
⁃ SQL / Python;
⁃ Statistics.

What we offer:

⁃ Be part of our entrepreneurial journey as Datatorq is growing fast;
⁃ Participate in building and improving our product;
⁃ Competitive salary;
⁃ Possibility to work remotely.

Contract length: 1 year with a possibility of extension.

If interested, please apply by sending your CV and a short motivation letter explaining why you are a good fit for this job to [email protected] or directly on LinkedIn.

Related Jobs