Associate Data Analytics Asset Manager, Renewable Energy

Boyd Watterson Asset Management is an independent, employee-owned investment firm with a distinguished history dating back to 1928. Following the strategic combination with Amber Infrastructure in August 2024, Boyd Watterson has created a global alternatives investment platform with approximately $35.7 billion in assets under management. The firm specializes in fixed income, real estate, and infrastructure investments, with a focus on providing income-oriented investment solutions to institutional and individual clients.

Headquartered in Cleveland, Ohio, Boyd Watterson operates across eight U.S. cities and has expanded its global footprint to twelve countries through the Amber combination. The infrastructure division manages a growing portfolio of energy, transport, digital, public, and demographic assets, including a dynamic U.S. renewables platform centered on the US Solar Fund (USF) and other strategic initiatives. This expansion has created exceptional opportunities for professionals seeking to make a meaningful impact in the renewable energy sector while working within a stable, well-established investment management framework.

The Role: Associate Data Analytics Asset Manager
Boyd Watterson seeks a highly technical, data-driven asset management professional with advanced analytical capabilities and expertise in managing complex data systems for renewable energy portfolios. This role requires a unique combination of deep technical programming skills and renewable energy domain knowledge. The successful candidate will architect and maintain Boyd Watterson's solar data infrastructure, driving performance optimization across the entire portfolio through sophisticated data analysis and system development.

This position offers direct exposure to senior leadership and the opportunity to shape the technological foundation of Boyd Watterson's renewable energy asset management platform. The role demands someone who can write production-quality code, design scalable data architectures, and translate complex technical insights into strategic business recommendations.

Key Responsibilities
Data Integrity & Oversight
• Audit, validate, and troubleshoot incoming data streams across ~41 distributed
solar projects (growing portfolio).
• Ensure high-quality ingestion of production, weather, and financial data for accurate
reporting and decision-making.
• Coordinate with internal and third-party teams to resolve data irregularities or
communication breakdowns.
Advanced Analytics & Machine Learning
• Develop predictive models using Python libraries (scikit-learn, TensorFlow, PyTorch)
to forecast power generation, identify performance degradation patterns, and
optimize maintenance schedules.
• Create sophisticated analytical frameworks for portfolio-level performance
attribution, incorporating weather normalization, equipment aging curves, and
seasonal variations.
• Analyze power generation and revenue data at the project and portfolio levels.
• Provide actionable insights to enhance contractor performance and operational
outcomes.
• Develop and maintain weekly, monthly, quarterly, and annual reports, highlighting
key KPIs and trends.
• Own and improve existing reporting tools in collaboration with senior leadership.
Technology Systems Architecture
• Lead the technical evaluation and implementation of enterprise-scale monitoring
and data acquisition systems, ensuring seamless integration with existing
infrastructure.
• Design and maintain comprehensive data warehousing solutions using modern
cloud technologies (AWS, Azure, or GCP).
• Develop custom applications and tools using full-stack development practices to
enhance operational efficiency.
Strategic Data Leadership
• Establish Boyd Watterson as an industry leader in renewable energy data analytics
by implementing cutting-edge technologies and methodologies.
• Define and execute the long-term technology roadmap for renewable asset data
management, incorporating emerging technologies such as IoT sensors and edge
computing.
• Collaborate with investment teams to develop data-driven investment strategies
and portfolio optimization models.
• Build institutional knowledge and create comprehensive documentation to support
organizational scaling.

Candidate Profile
Required Technical Expertise
• Bachelor's degree in Computer Science, Data Science, Engineering, or related
quantitative field; advanced degree preferred.
• 3-6+ years of hands-on experience in data engineering, analytics, or software
development within the renewable energy sector.
• Advanced Python Programming: Demonstrated expertise in Python for data
analysis, including proficiency with pandas, NumPy, scipy, and matplotlib.
Experience with object-oriented programming, design patterns, and writing
production-ready code with comprehensive testing.
• Advanced SQL Skills: Expert-level SQL capabilities including complex query
optimization, stored procedures, window functions, CTEs, and performance tuning.
Experience with both relational (PostgreSQL, MySQL) and time-series databases
(InfluxDB, TimescaleDB).
• Visualization & Reporting: Advanced Power BI development skills including DAX,
custom visuals, and row-level security implementation. Experience with other
visualization tools (Tableau, Grafana) beneficial.
• Solar Domain Knowledge: Deep understanding of solar PV systems, inverter
technologies, performance ratios, and degradation analysis. Familiarity with
monitoring platforms such as AlsoEnergy, PowerTrack, Locus Energy, or similar
systems.
• Cloud & DevOps: Hands-on experience with cloud platforms (AWS, Azure, or GCP)
and infrastructure-as-code tools preferred.