Senior Analytics Engineer

As a Senior Analytics Engineer at Solar Landscape, you will design and implement analytics strategies that drive actionable insights. Your key responsibilities will include defining and measuring KPIs relevant to our solar assets and partners, collaborating with different departments to meet their data needs, and building reporting frameworks using tools like Power BI. You will also play a crucial role in ensuring data quality and security while leading the identification of trends in complex datasets.

To be a successful candidate for the Senior Analytics Engineer role at Solar Landscape, you should have at least 5 years of experience in analytics engineering or a related field. Proficiency in SQL and familiarity with cloud-based analytics tools, especially Microsoft Azure, are crucial. Moreover, strong communication skills and experience with data visualization tools such as Power BI are essential to translate complex insights to diverse audiences effectively.

A Senior Analytics Engineer at Solar Landscape will significantly contribute to our mission of promoting renewable energy by delivering data-driven insights that enhance operational efficiency and decision-making. By analyzing key performance indicators and industry trends, you’ll help us optimize our solar projects and improve customer satisfaction, thus furthering our commitment to providing affordable and accessible solar power to communities.

In your role as a Senior Analytics Engineer at Solar Landscape, you will utilize various tools to accomplish your tasks. You'll primarily work with Power BI for data visualization and reporting, and SQL for querying and analyzing datasets. Familiarity with cloud-based solutions on the Microsoft Azure platform, such as Azure Data Factory and Synapse, will also be valuable as you manage and streamline our data processes.

The culture at Solar Landscape is vibrant and collaborative. Located in historic Asbury Park, our office promotes teamwork with flexible workstations and a communal gourmet kitchen where our in-house chef prepares daily meals with locally sourced ingredients. Employees are encouraged to connect, share ideas, and contribute to a mission that combines professional growth with a passion for clean technology and sustainability.

Highlight your proficiency with tools like Power BI, explaining specific projects where you transformed complex data into compelling and insightful visualizations. Discuss how you tailored dashboards to meet stakeholder needs and the strategic impact those reports had on decision-making.

Explain your approach to defining KPIs, focusing on understanding business goals first. Talk about collaborating with stakeholders to ensure KPIs are relevant and effective, and provide examples of KPIs you’ve tracked in past roles and how they influenced operations.

Discuss specific SQL techniques such as JOIN operations, subqueries, and aggregate functions. Provide an anecdote about a complex dataset where these techniques helped you draw insightful conclusions or streamline data processing.

Share a specific example illustrating how you engaged with cross-functional teams to gather requirements, address data challenges, and align analytics solutions. Emphasize your communication skills and the impact of your collaborative efforts on project outcomes.

Discuss the importance of data validation and cleaning processes. Provide examples of strategies you've implemented, such as automated checks or validation frameworks, to maintain data accuracy and consistency, highlighting the importance of compliance with industry standards.

Mention specific resources such as industry blogs, webinars, and professional networks that you follow for the latest trends in analytics. Discuss any professional development courses you've taken or relevant conferences you've attended to keep your skills sharp and knowledge current.

Use the STAR method to outline a specific project, detailing the challenges faced, the steps you took to resolve them, and the ultimate outcome. Highlight your analytical skills and critical thinking in overcoming obstacles.

Discuss the significance of clear and effective communication in translating complex data insights to non-technical audiences. Provide examples of how you've tailored your communication style for different stakeholders to ensure understanding and foster action.

Explain your approach to task management and prioritization, possibly mentioning tools like Jira that you use for transparency and collaboration. Discuss how you align your priorities with organizational goals and deadlines to maximize effectiveness.

Share your passion for clean technology and how data can improve energy efficiency and sustainability. Discuss how this aligns with your motivations and career goals, and how you see analytics playing a crucial role in advancing the renewable energy industry.