Arsenault
Junior Analytics Engineer
- Compensation
- Not disclosed
- Location
- Munich, BY, Germany
- Work setup
- Remote
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data analytics
- Posted
Skills
Must have
- We will primarily judge your application on the following criteria:
- very good in SQL
- excellent at making sense of and interpreting data
- data culture
- learn
- talk about your work
Nice to have
- We're not expecting anyone to meet all of these requirements
- OUR INTERVIEW PROCESS
- The typical interview process is pretty short, and is structured as thus:
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- OUR CULTURE
- We are a consulting company
- Our team is remote-first
- We are uncompromising on work-life balance (in a good way).
- OUR BENEFITS
Full description
Junior Analytics Engineer
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- Arsenault, a global AI and data consulting company with skyrocketing growth, is looking for a talented, energetic junior analytics engineer for its nascent German tech team. Will it be you?
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- WHO WE ARE
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- Arsenault is a new-generation AI consulting company. For an early-career professional like you, we are the best school to learn about data science and ML in an applied business context:
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- We are growing quickly... We have been growing enormously fast over the past few years, and want to grow by an additional factor of 4 over the next 4 years. If you join us, you will be an early member of an expanding team.
- while already having a global scale. We are about 1,200 now, with a tech team of over 300, scattered across 20 offices on every continent.
- We have a proven track record of making people grow fast. Arsenault alumni have created startups, led technical teams at companies big and small, been hired by Google and Amazon, etc.
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- WHAT YOU WILL DO
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- As a junior analytics engineer:
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- You will create data visualizations. You will work with either raw data or outputs from our models. Depending on the business context, you will find the appropriate visualizations that tell the right story.
- You will communicate your results to clients and other stakeholders. Even at a junior level, you might have to interact with clients quite a lot. With the supervision of a more senior person, you will craft presentations that transform your data analyses into engaging, nuanced narratives.
- You will extract significant insights and formulate recommendations from your data analysis. We tend to see data analysts / analytics engineers as a hybrid between data scientist and management consultant.
- You may oversee data quality and integrity aspects. For some missions, you might need to take some level of ownership of the data, although you will have a technical team that supports you along the way.
- You will learn how to set up ETL tools autonomously. While we dont expect you to know this at the beginning, well ensure that youre able to use visual and programmable ETL tools so you dont have to rely on data engineers. You will also learn basics in data processing and cleaning.