Lead the company-wide analytics vision and roadmap to support business goals, product development, and customer experience; Help define KPIs, measurement frameworks, and long-term analytics goals
Oversee development of advanced dashboards and reports for the ongoing analysis and monitoring of our BUs, products, partners, markets, KPIs, OKRs, and other initiatives; Conduct ad-hoc analysis with rapid delivery to support key tactical decisions
Conceive of and lead ML / AI initiatives that drive customer value and underpin key product solutions, such as dynamic content and product recommendations for consumers or dynamic credit models for lending; connect these solutions to A/B testing strategies; Identify and support practical use cases for generative AI and automation tools to increase team productivity and insight generation
Create and drive adoption of testing and learning frameworks across the organization, especially in product (e.g., definitions of success and metrics, rapid enablement, etc).
In collaboration with Engineering leadership, ensure modern data architecture and infrastructure. Ensure security, reliability, redundancy, scalability, and cost efficiency. Eliminate duplicative systems.
Inspire, mentor, and grow a team of direct and dotted line analysts, scientists, and engineers, creating a supportive, accountable, and proactive team culture.
Build strong partnerships with senior leaders across Capital, Asset Management, Consumer, Product, Engineering, Finance, and Marketing
Requirements
8-10 years of experience in data analysis, data science, or data warehousing with proven business analysis and product data experience
Impact Orientation: You have the ability to translate quantitative data into actionable business insights and recommendations
Data Fluency: Quantitative analysis and logical reasoning; 5+ years of experience using SQL and visualization tools on large data sets to extract trends and insights
AI Orientation: Highly fluent in the emerging AI landscape and technologies, and an AI-first mindset
Efficiency: Excellent organizational and prioritization skills as demonstrated by experience driving multiple, competing projects under deadline pressure
Enthusiasm: You’re passionate about Palmetto’s mission and excited to bring clean, renewable solar energy to more people
Familiarity with Palmetto’s data stack and other core tools: MongoDB, SQL, dbt, Snowflake, Looker, Tableau, GitHub, Salesforce
MBA (or relevant experience)
Familiarity with ETLs and data modeling concepts (e.g., star schema, NoSQL)
Comfortable with many aspects of the data ecosystem (e.g., data modeling, defining metrics, visualization, analysis, communication, implementation)
Experience working at a dynamic and rapidly growing company, preferably in finance, technology, energy, or the construction industry
If you find building, collaborating on, and learning about a new data model exciting, this could be the opportunity for you!