Working Student Growth & Commercial Analytics

Munich, Remote

Live, first seen by us 83 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Listed location: Munich,Remote
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Employment: Internship — employment source
Employment type in the employer’s posting: Intern / Student
From the employer’s posting

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Status in our records: Live
First seen by us: Aug 13, 202683 days ago
Recorded sightings: 29
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 83

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Checkmk is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
Datadog

Where the posting names them

- You are enrolled at a university (Business, Economics, Computer Science, Engineering, Statistics or similar) and available for 20 hours per week, ideally for at least 12 months. - You are confident in Excel or Google Sheets. SQL, Python or R are a plus. If you don’t have them yet, you are willing to learn. - You are resourceful: when the data you need doesn’t exist, you find another way to get it.

- Build recurring reports the team can use without you, and document sources, definitions and known gaps. Product marketing- Competitive intelligence: track pricing, packaging and positioning of competitors such as Datadog, Dynatrace and Nagios. - Pricing analysis: benchmark price points, model scenarios and analyze deal data.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

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Your mission

Checkmk is a leading IT monitoring solution used by IT professionals worldwide. Our Growth & Commercialization team decides where we invest in sales-led and product-led growth, and we want those decisions to rest on data.

The data we need is spread across several systems and is often incomplete. You will help us find it, combine it and turn it into answers we can act on. Most of your time goes to growth analytics. The rest supports Product Marketing with competitive and pricing work. We do not require previous work experience.

Your responsibilities
Growth analytics

Combine product usage, customer, sales and marketing data to answer concrete questions: why we win and lose deals, which customers are ready to expand, where free users get stuck, and what moves them to a paid edition.
Find usable data where no clean dataset exists, inside the company and in public sources.
Help define which product usage data we collect, and how.
Build recurring reports the team can use without you, and document sources, definitions and known gaps.

Product marketing

Competitive intelligence: track pricing, packaging and positioning of competitors such as Datadog, Dynatrace and Nagios.
Pricing analysis: benchmark price points, model scenarios and analyze deal data.
Market research: trends and market size in IT monitoring and observability.

Your profile

You are enrolled at a university (Business, Economics, Computer Science, Engineering, Statistics or similar) and available for 20 hours per week, ideally for at least 12 months.
You are confident in Excel or Google Sheets. SQL, Python or R are a plus. If you don’t have them yet, you are willing to learn.
You are resourceful: when the data you need doesn’t exist, you find another way to get it.
You check data before drawing conclusions, and you say how confident you are in a result.
You can explain findings plainly, in writing and in short presentations.
You are interested in B2B software. You don’t need an IT background, but you want to understand how our users work with the product and how customers buy.
You use AI tools sensibly and check what they produce.
Very good English. German is a plus.

Why us?

The chance to make a decisive impact and shape the future of a dynamic, fast growing tech company while growing with your tasks and responsibilities
Flexible and family-friendly working conditions in a stable environment
Flexibility between remote-work and working in an office in one of the most beautiful, central districts of Munich
With the wide range of sports and wellness offers from Wellpass, you can choose from over 9,000 sports and wellness offers
An agile team that embodies autonomy and fast decision making within flat hierarchies
A unique corporate culture where we emphasize equality, diversity and inclusion
A wide range of education and training opportunities
An office in one of the most beautiful, central district of Munich
An attractive salary
Regular onsite events of all sorts (Company Outings, Team events, Checkmk Conference, Conference After Party and more) in a familiar atmosphere

Interested? Then contact us now!
You can get insights about working@checkmk at Kununu & Glassdoor

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