Senior Analytics Engineer at Solar Landscape designing analytics strategies and implementing data solutions. Collaborating with teams to transform data into impactful insights for decision-making.
Responsibilities
Design, develop, and implement analytics strategies to deliver actionable insights and drive data-driven decisions across the company.
Define, measure, and monitor key performance indicators (KPIs) relevant to subscribers, solar assets, renewable energy credits, and business operations.
Collaborate closely with stakeholders across multiple departments to gather requirements, understand business processes, and ensure alignment with analytics solutions.
Build and maintain robust reporting frameworks and dashboards utilizing tools such as Power BI to clearly communicate insights to stakeholders.
Lead the identification and analysis of trends and opportunities within complex datasets.
Contribute to data ingestion in Microsoft Fabric, following team standards and protocols.
Use Jira for task management to support efficient, transparent, and collaborative development cycles.
Oversee data quality, integrity, and security, ensuring compliance with company standards and industry regulations.
Requirements
5+ years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a related field.
Expertise in defining KPIs, building reporting frameworks, and developing insightful data visualizations.
Proficiency with analytics and visualization tools, especially Power BI.
Strong SQL skills, with experience in querying, analyzing, and optimizing complex datasets.
Experience collaborating with distributed teams, including offshore developers.
Demonstrated ability to translate complex data into clear, actionable insights and communicate findings effectively to diverse audiences.
Excellent analytical, problem-solving, and critical thinking skills.
Effective communicator comfortable working across technical and non-technical teams.
A passion for clean technology and using software to accelerate positive climate impact.
Benefits
Training / Professional development opportunities
401(k) with 4% company match
Summer Fridays
Flexible remote/hybrid work options
Paid parental leave
Team lunches, events, and stocked kitchens
Modern, collaborative office spaces in Asbury Park, New York City, Boston, Chicago, and Baltimore
Medical, dental, and vision coverage
Company-paid life and long-term disability insurance
Trading Analytics Developer responsible for advancing data and AI infrastructure in crypto trading. Bridging quantitative development and AI platform engineering to drive insights and performance.
Senior Data Analyst responsible for transparency and insights across all business areas at Rosental. Developing dashboards and establishing KPI frameworks to drive data - driven decisions.
Analytics Engineer preparing data models and ensuring data quality for it's Prodigy’s innovative tech offerings. Collaborating with stakeholders to enhance data processes and improve tool efficiency in a hybrid setting.
BI Analytics Engineer creating interactive dashboards and data models for healthcare services. Collaborating with teams to ensure data - driven decision - making and compliance with governance standards.
Data Analytics Engineer responsible for decision models and data pipelines at Midas. Collaborating with teams to ensure accurate data for enhancing user investment experiences.
Data Analyst role focusing on analytics engineering for Kraken Utilities. Collaborating with product teams and clients to optimize data usage in the energy sector.
Analytics Engineer at Weedmaps responsible for building data pipelines and analytics frameworks. Collaborating with teams to drive data - informed decisions across customer acquisition and retention strategies.
Analytics Engineer Senior responsible for creating and optimizing analytical models using Power BI. Interacting with stakeholders to translate business requirements into efficient data models.
Senior Healthcare Analytics Engineer at MD Live responsible for designing cloud - native data architectures and implementing healthcare data solutions. Leading engineering efforts to improve data accuracy and business alignment.