Analytics & Automation Intern (RevOps)

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Amsterdam
In-Office
On-Demand • Professional Services • Software
Deploy, Manage & Retrieve IT Hardware For Your Global Workforce in 100+ Countries.
The Role

At Workwize, we’re revolutionizing how businesses support their global teams.

The rise of a global workforce has enabled companies to access a broader talent pool but has also brought logistical challenges, such as local vendor availability, timely laptop delivery, equipment management, and local retrieval and storage. Workwize’s SaaS platform, integrated with suppliers and warehouses worldwide, simplifies and automates the deployment, management, and retrieval of IT hardware for distributed teams. Currently, Workwize facilitates fast, local deliveries in 100+ countries, supporting the IT lifecycle for over 30,000 users and managing 100,000+ devices globally.

About the role:

As an Analytics & Automation Intern (RevOps) at Workwize, you’ll join our new Revenue Operations team — a cross-functional team working closely with Marketing, Sales, and Customer Success. You’ll build dashboards and data models and design automation and AI workflows that turn commercial data into action. This internship is a unique chance to experience the fast-paced life of a growing startup while building impactful projects from day one.

Key Responsibilities:

  • Reporting & Dashboards

    Build and maintain self-serve dashboards and standardized reports for commercial teams (e.g., pipeline health, funnel conversion, cohort retention, campaign ROI).

  • Data Models & Pipelines

    Design and maintain scalable data models and ETL pipelines; define metrics, document logic, and uphold data quality.

  • Automation & AI Workflows

    Implement workflow automation and LLM-powered use cases (evaluations, summaries, enrishments) to reduce manual effort.

  • Ad-hoc Analyses

    Translate business questions into analyses; synthesize insights and clear recommendations for stakeholders.

Skills and Qualifications:

  • Prior internship in a data/analytics role or a strong track record of software/data projects outside of class.
  • Currently pursuing a Master’s or final-year Bachelor’s in Computer Science or another STEM field.
  • Strong analytical mindset, attention to detail, and problem-solving skills.
  • Comfortable working independently in a fast-paced environment.
  • Tech stack (core): SQL, Tableau (or other BI), Python or JavaScript.
  • Nice to have: REST APIs; LLMs & prompt engineering; workflow automation tools (e.g., n8n, relay.app).

Characteristics:

  • You’re proactive and resourceful
  • You enjoy diving into data
  • You take ownership, are organized, and care deeply about quality.
  • You thrive in fast-paced environments and collaborate well across functions.
  • You’re curious about how analytics and automation can unlock commercial impact.

Our Team

Join Workwize and make an impact! We're revolutionizing the way we work and care deeply about our employees' growth and satisfaction.

Our diverse team of ambitious professionals, including entrepreneurs, operational specialists, developers, and sales experts, constantly seeks original ideas to reach more consumers and provide top-notch value to our customers.

At Workwize, we celebrate individual expression, valuing diverse perspectives and encouraging creativity. We believe in having a great time along the way, fostering a positive and enjoyable work environment.

Workwize offers:

  • A position in a fast-growing, and dynamic environment.
  • Flexibility to work in a hybrid environment, balancing office and home settings.
  • Enjoy daily lunch provided at the office.
  • A vibrant, entrepreneurial work environment that encourages innovation and growth.
  • Weekly team lunches and monthly surprise events to build team spirit and have fun along the way.

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The Company
HQ: Amsterdam
108 Employees
Year Founded: 2021

What We Do

Deploy, Manage & Retrieve Laptops And Other Assets For Your Remote employees in 100+ countries. Get everything delivered globally within 5-7 days.
Automatically retrieve assets upon offboarding and redistribute to new hires.

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