Senior Product Analyst

Description:

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. The company offers an award-winning disruptive solution: a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. 

Combining pioneering technology in optical fiber sensing with state-of-the-art AI, we help protect human lives and keep critical energy.

We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape.

This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

• Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
• Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
• Ensure data quality and consistency for accurate analysis and reporting.
• Conduct statistical analysis and use data visualization tools to present findings.
• Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
• Provide data-driven insights and recommendations to support decision-making processes.
• Interpret and communicate results to customers and management in a clear and concise manner.
• Present key findings of your analysis to customers around the globe.