🚀 Jobs metric: 339 new jobs in the last two weeks!! 🚀

Data science, Analytics and software jobs in sports analytics. As always, the most complete site to get all the relevant opportunities in one place!

This edition brings you the usual recent job openings, but also two excellent competitions where you can work with real data and build portfolio-ready projects. Even if you don’t participate formally, both challenges provide structure, datasets, and clear prompts that you can use to create serious applied work to showcase in interviews.

These were some of the uploaded in the last few days only! I’m seeing a rise in the amount of jobs across sports. More teams jumping in!

If you’re looking to sharpen your applied sports analytics skills, these two competitions are worth your attention:

Syracuse University is sharing recordings from their Football Analytics Blitz competition, now available on YouTube. The playlist walks through presentations and analytical approaches from past participants, which is extremely valuable if you want to understand how others structure their thinking, storytelling, and modeling choices.

Syracuse Sport Analytics has also opened registration for their upcoming basketball competition. Even if you don’t submit officially, you can treat the prompt as a guided project: replicate the problem, structure your workflow, document your assumptions, and publish your results.

Resources:

A practical idea: watch the Blitz presentations, reverse-engineer a methodology you like, and rebuild it with your own extensions. That alone can become a strong portfolio piece.

Ohio State Sports Analytics Conference is hosting a student hackathon in collaboration with Sports Info Solutions.

The prompt: evaluate how the 2023 MLB rule changes affected the value of infield defense. You can approach this from player evaluation, run prevention, positioning value, or any creative angle grounded in the data.

What makes this particularly interesting:

Key dates:

Submissions require a short (<5 minutes) video presentation, which is also great practice for communicating analytics clearly and concisely.

Even if you’re not eligible as a student, you can replicate the challenge once the data is out . Frame it as:

That combination is exactly what hiring managers in sports analytics want to see.

Scan the QR code in the image to register or click this link: https://docs.google.com/forms/d/e/1FAIpQLSdg-bJqAFJr4Zy-quoFjh2-SWw7DFHNMrk0LwGeYrfzNVD46A/viewform

If you’re serious about breaking into the field, competitions like these are more than contests, they’re structured, real-world case studies. Treat them as portfolio accelerators.

If you're actively preparing for roles in sports analytics (or broader sports business positions), remember that we’ve partnered with TailoredSim, an AI-powered job simulation platform built to replicate real-world sports roles.

While learning Python and analytics fundamentals is essential, structured practice in job-like scenarios can give you an extra edge, especially when preparing for interviews and assessment tasks.

You can use code SPORTS2026JOBS to get 20% off any TailoredSim subscription. Applied permanently.

If you want hands-on practice that mirrors real hiring processes in sports, it’s worth checking out HERE

If you feel like looking for a job consumes too much time you will find this deal really convenient. You get back you time, you decrease anxiety and you manage when to look for your next role.

Any feedback, suggestion, nice review, anything you want to share please do it!

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