Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

Wiliot is seeking a Senior Manager / Director of Data Analytics to own and lead our customer analytics domain. This is a high-impact, hands-on leadership role responsible for turning large-scale, global data into insights, dashboards, alerts, and analytical tools that drive executive decisions and customer success.

This role reports directly to the VP of R&D and works closely with executive stakeholders across the company. We are looking for a strong pusher with high energy — someone who proactively drives analytics forward, challenges assumptions, and makes things happen.

• Lead a small team of data analysts, while remaining deeply hands-on
• Act as a driver and pusher — proactively identify gaps, opportunities, and insights
• Own analytics for customer data, including:
• Usage and adoption
• Cost and efficiency
• Pricing and monetization insights
• Detection of abnormal or anomalous behavior
• Design and deliver dashboards, reports, and automated alerts for executives and customer-facing teams
• Work closely with R&D, Product, and business leaders to turn data into action
• Operate in a fast-moving, high-energy environment, managing multiple priorities
• Apply and help evolve AI-driven analytics and agent-based approaches
• Support and scale analytics across a global data footprint

• 7–12+ years of experience in data analytics / business analytics / data science
• Experience leading small analytics teams
• Strong hands-on analytical skills (SQL is a must)
• A high-energy, proactive mindset — ownership, urgency, and drive matter
• Proven ability to work directly with senior and executive stakeholders
• Experience working with large-scale, real-world datasets
• Strong communication skills and business orientation
• Databricks experience is a strong advantage
• Interest or experience in AI, advanced analytics, or intelligent agents is a strong plus

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