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People Operations Internship

icon building Company : Aily Labs
icon briefcase Job Type : Internship
icon remote-alt Remote / Work from Home

Number of Applicants

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Job Description - People Operations Internship



Mission


Are you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding "yes," we have an extraordinary opportunity for you!  
About Us      
Aily Labs, founded in 2020, is an exciting and rapidly growing startup based in Munich, Barcelona, Madrid, Cluj and New York. With a team consisting of over 350 passionate and skilled ML Engineers, Data Scientists, Developers, and Business Leads we are dedicated to our ambitious objective of democratizing AI.   
  
We have harnessed cutting-edge technology to develop an exceptional AI mobile app that goes beyond conventional solutions. By seamlessly providing immediate business insights, we are poised to revolutionize the corporate landscape.



Your profile


About the Role
We are looking for a People Operations Intern to join our growing People team at Aily Labs. This role will focus on building and scaling our People Analytics capabilities — helping us turn data into a strategic lever for growth, engagement and performance across the company.You will support the PeopleOps team in setting up our first complete analytics stack, ensuring that data flows seamlessly from systems to insights, and helping us track what truly matters: from headcount to talent density, from feedback cycles to growth metrics.This is a unique opportunity to work at the intersection of People, Data and AI in a fast-growing Decision Intelligence company.What You’ll Do
  • Support the design and build of People KPIs, dashboards and reports
  • Help structure data from our HRS (Personio) and other systems
  • Collaborate on strategic reporting for leadership forums (XCOM, Hub Leads)
  • Analyze trends in feedback, promotion, turnover and engagement data
  • Assist in setting up early-warning systems for talent risks (attrition, burnout)
  • Work closely with the Organizational Excellence team to connect People and Business metrics
  • Document processes and support the creation of the People Analytics playbook
What We Are Looking For
  • Strong interest and skills in data analysis and AI-driven decision making
  • Familiarity with Excel, Google Sheets, basic data visualization tools (e.g., Tableau, Power BI)
  • Interest or experience in HR data, workforce planning or organizational analytics
  • Curiosity about how organizations grow and develop talent
  • Open mindset, proactive attitude and strong sense of ownership
  • Good communication skills — ability to turn data into clear insights
  • Nice to have: knowledge of Python, SQL or other basic data processing skills
  • Bonus: familiarity with methodologies related to People Analytics or Organizational Science
  • Must be business fluent in English




Who are we?


  • We are an internationally diverse and young team with more than 30 nationalities. 
  • We develop high-quality, beautiful software and thus create sustainable added value for our customers. 
  • We pay competitive salaries and reward performance 
  • We live an open feedback culture so that we can constantly reflect and improve. 
  • We offer flexible remote work with free time management within the projects. 
  • We enjoy new technologies, are open for innovative ideas and foster trial and error principles. 
  • We give freedom for further training because lifelong learning is important to us. 
  • We do cool and fun offsites (e.g. Ibiza. Kitzbühel), and regular casual get-togethers. 




What sets us apart?


  • Work at the core of how data and AI are transforming organizations
  • Join a team that combines PeopleOps, Org Excellence and Business Intelligence in one mission
  • Exposure to high-level leadership discussions and strategic decision-making processes
  • Freedom to experiment and implement — we are building from the ground up
  • Be part of a company where innovation, agility and fun are not buzzwords — they are how we work every day




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