Staff Data Analyst

Responsibilities

• Renew Home is looking for a talented and self-driven Staff Data Analyst to join the growing Product Analytics team
• Collaborating closely with stakeholders across the organization – Engineering, Product, Operations, Partnerships – you will deliver analytic solutions and timely insights by asking the right questions of our data
• Reporting to the Manager of Product Analytics, this role offers significant opportunities to influence the culture of Analytics at Renew Home
• Lead cross-functional initiatives with Engineering, Product, Market Operations, and Partnerships to define, implement, and iterate on measurement and analysis for our VPP performance in both utility and direct market access programs
• Proactively identify, analyze, and interpret complex data to uncover critical business, product, and user insights
• Propose strategies for improving both the systems powering our VPP and the tools used by our energy industry partners
• Synthesize large-scale, disparate datasets — including smart meter data, device telemetry, settlement data, and logs — to aid in compliance and increasing impact of our VPP products and services
• Build source of truth data models in DBT that serve as the foundation for VPP reporting and decision-making
• Define and monitor KPIs to evaluate the success of new VPP features and business initiatives
• Design effective data visualizations and dashboards to communicate to a range of audiences
• Define appropriate data instrumentation for new product features
• Perform statistical analysis and build predictive models on user interactions and smart device data to derive actionable and business-impacting insights
• Be curious, passionate and take ownership over functional areas
• Contribute to the Product Analytics team – advocate for analytic best practices, introduce new tools and processes, perform code reviews, and mentor junior analysts

Skills

• Proven record (7-10+ years) of analytics industry experience
• Experience in the energy industry is required, including knowledge of electricity markets and electricity meter data
• Fluency in SQL and extensive experience with columnar databases (e.g. Redshift, BigQuery)
• Strong foundation in statistics including inference, simulation, and optimization
• Proven ability to apply software engineering fundamentals to develop efficient, maintainable, and adaptable code
• Ability to work through ambiguity, excellent problem solving skills and attention to detail
• Experience building data pipelines in Python with DBT and Prefect/Airflow
• Experience with the AWS cloud computing ecosystem including: Redshift, s3, ZeroETL, ecs, Lambda
• Experience with AI/ML tools/frameworks including: Scikit-learn, Tensorflow, PyTorch, Prophet, Numpy, Jupyter

Benefits

• 💼 A full-time position, with a competitive salary based on experience
• 💰 The base salary for this role is: $170k - $200k
• 🌍 Fully remote work environment with home office set-up allowance
• ⚖️ Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first
• 🏥 Competitive benefits package that includes numerous health and wellness benefits
• 📈 401(k) plan, with employer contributions to the same
• 🌟 Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day