Senior Data Analyst (Hybrid)

Note:
We're representing an external client in search of qualified candidates for a role within their organization. This position offers a chance to be a part of our client's team and contribute to their objectives. As our client's search partner, we facilitate the initial stages of the selection process on their behalf. Please read on for more details about this opportunity.
About Our Client
Our client is an innovative company focused on providing advanced solutions and revolutionizing the energy sector. With operations in various regions, the company specializes in optimizing resources through a sophisticated software platform. Their mission is to help clients achieve their sustainability goals and reduce their carbon footprint by offering energy storage solutions.
Role Mission
Our client is seeking a Senior Data Analyst to join their core engineering team. The ideal candidate will be passionate about leveraging data to drive insights and efficiencies. You will play a key role in analyzing data, creating reports, and collaborating with cross-functional teams to support operational excellence.

Deliverables

• Analyze data from various sources to forecast critical events that inform operational strategies.
• Input predictions into different market systems to support decision-making related to resource optimization.
• Propose enhancements to forecasting models and demonstrate potential scenarios for load curves.
• Assess and report on the accuracy of predictions, identifying areas for future improvement.
• Create comprehensive documentation to expand internal knowledge and support team initiatives.
• Work closely with cross-functional teams, including software engineering, data science, and operations, to ensure alignment and integration of efforts.
• Identify and pursue opportunities to enhance operational performance and scalability, contributing to the overall growth of the company's asset portfolio.

About You

• Degree in Statistics, Computer Science, Data Analytics, or a related field.
• 3+ years of experience in data analysis, with a focus on forecasting.
• Proficiency in Python

Nice To Have

• Data Science experience

Perks & Benefits

• Bonus
• Benefits
• Vacation
• Wellness credits
• Training budgets

Note: Only candidates who meet the specified criteria and qualifications will be contacted for further consideration. Thank you for your understanding.