Director of Data Analytics

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.

Requirements:

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

#LI-Hybrid

Responsibilities:

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