Data Analyst

Description

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). 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 machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.

We're seeking a 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 and grid resilience, using advanced monitoring systems, weather data, and line ratings. 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.

The Data Analyst reports to the Prisma Power Product Director.

Requirements

What You’ll Do

• Collect and integrate data from various sources, including weather stations, Prisma sensor, line sensors, and SCADA systems.
• 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 DLR systems and resilience detectors and identify opportunities for improvement.
• Provide data-driven insights and recommendations to support decision-making processes.
• Interpret and communicate results to stakeholders in a clear and concise manner.

What You Bring:

• B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
• At least 3-5 years of experience in data analysis, business intelligence, or a related field.
• Strong Data analysis and presentation skills.
• Proficiency in data analysis tools such as SQL, R, Python, and Excel.
• Knowledge of statistical analysis techniques and methodologies.
• Familiarity with database management systems and data warehousing.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent communication and teamwork skills.
• A curious mindset and a passion for solving complex problems.

Great to Have