Working Student - Revenue Operations (RevOps) (Munich: Hybrid) at Speexx

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

28 Jul, 26

Salary

0.0

Posted On

29 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL processing, Data visualization, PowerBI, Tableau, Looker, Data analytics, Microsoft Excel, Dynamics 365, Power Automate, Prompt engineering, AI, LLM, Data cleaning, Business intelligence

Industry

Professional Training and Coaching

Description

At Speexx, we are building the future of learning and development. Our all-in-one digital coaching platform combines cutting-edge AI technology with world-class coaches to deliver needs assessment, personalized language training and business coaching for everyone. Since 2012, Speexx has equipped over 2,000 organizations with the tools their workforce needs to thrive. And we’re just warming up. Now as we grow, we are searching for a new Working Student to join the Revenue Operations department in our Munich business unit. This person will collaborate closely with the go-to-market (GTM) teams. Your projects involve working directly with the RevOps team lead and the Business Intelligence Analyst. This is an exciting opportunity to grow with a truly global, dynamic team and have a positive impact on the L&D tech industry from day one. If this sounds like you, keep scrolling! What you'll do Support our Revenue Operations team in various data cleaning tasks Create, build, and improve ETL processes Visualize data in PowerBi dashboards, reports, and the usual Excel file Help design solutions with our Dynamics 365 & Power Automate experts to improve data accuracy Participate in analytics projects and related tasks to ensure robust data for downstream teams What we’re looking for First experience with ETL processing and data visualization tools (PowerBi, Tableau, Looker) Knack for Analytics (knows how to navigate and/or visualize data sets) You are technically adept and enjoy gaining hands-on experience using a variety of tools General interest in LLM, AI, Prompt Engineering – and extra plus points: “GTM Engineering” Good knowledge of MS Office, especially Excel Fluency in English (C1/C2) What we offer you Flexible Working Hours: We don't believe that a rigid 9 am - 5 pm is the right path to a great work-life balance, so we give you the flexibility to do your best work in a way that works for you and your team. Remote & Hybrid Office Models: Sometimes you need to work from home, take care of a family member, or just have a change of scenery. That's why we offer flexible arrangements like fully remote, hybrid, and work from abroad. International Team: You will be working in a multicultural, agile environment with team members from office locations around the globe, including Munich, Madrid, Paris, Pavia, Rome and Shanghai. Culture of Learning: Take a deep dive into our Speexx Academy, participate in our global Mentoring program, visit internal workshops or third-party training, and finally enjoy our Speexx peer exchanges. Award-winning Language Training: Learn a new language or level up existing skills with our Speexx platform. Your friends and family can also receive a discount on our world-class language training. Our Hiring Adjustments and Experience: At Speexx, we are looking for people with diverse skills, backgrounds, and experiences who can further enrich our culture. Even if you don’t meet all the requirements, we encourage you to apply. Don’t let the "Confidence Gap" or "Imposter Syndrome" hold you back! Just like our personalized people development solutions, our recruitment is not “one-size-fits-all.” Please let us know if you need adjustments during the hiring process. We look forward to hearing from you! Learn More About #SpeexxLife: YouTube: https://www.youtube.com/watch?v=eo3nmaCC5AE&t=2s TikTok: https://www.tiktok.com/@speexx_?lang=en

Responsibilities

You will support the Revenue Operations team with data cleaning, ETL processes, and the creation of PowerBI dashboards. Additionally, you will collaborate with experts to improve data accuracy and participate in various analytics projects.