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Senior Analytics Engineer

About GoodLeap:

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018.

 

GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.


Position Summary

We are seeking a Senior Analytics Engineer with skills in pipeline development and data visualization to support data curation and reporting for our business partners.  Our ideal candidate has a strong foundation in pipeline development and data modeling, experience designing and building data dashboards, and a proven track record of applying business context to data development.  In this role, you will work closely with business stakeholders to design and develop curated datasets, structure data for export to third-party tools, and consolidate into reports used by business teams.  You will also have the opportunity to work closely with other members of the Analytics team on foundational projects to empower analysts and business users across the company with more and easier access to data.


Essential Job Duties & Responsibilities
  • Work with business stakeholders to understand priorities and identify opportunities to advance their analytics solutions
  • Provide support to business teams by triaging requests, investigating data issues, and building tools and processes to support ad hoc data needs
  • Develop datasets and dashboards for business teams that support a range of operational and strategic recurring data needs 
  • Showcase expertise in data visualization and storytelling best practices through design and implementation of actionable dashboards
  • Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need
  • Assist business users in identifying and deploying the right tool for each use case, and support new tool and technology assessments to improve stakeholder adoption
  • Lead data modeling, transformation, and normalization projects to increase usability of critical business data
  • Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations
  • Provide input to Data Engineering on requirements and enhancement needs for existing data ingestions, pipelines, and platforms


Required Skills, Knowledge & Abilities
  • BS in Computer Science, DS, or related technical degree or equivalent work experience 
  • 3-5 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role
  • 3+ years' hands-on SQL experience performing pipeline development in a work environment
  • Experience with data management, documenting process and data flows, and ensuring data quality
  • Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
  • Experience with ETL processes, software development, and lifecycle awareness
  • Experience with Agile processes utilizing JIRA + git to track and version control work
  • Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders
  • Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses
  • Analytical mindset and willingness to identify and question assumptions


$146,000 - $170,000 a year
In addition to the above salary, this role may be eligible for a bonus.

Additional Information Regarding Job Duties and Job Descriptions:


Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.


If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you!  Apply today!

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Average salary estimate

$158000 / YEARLY (est.)
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$146000K
$170000K

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What You Should Know About Senior Analytics Engineer, GoodLeap

GoodLeap is on the lookout for a talented Senior Analytics Engineer to join our innovative team! As a technology company dedicated to providing exceptional financing and software solutions for sustainable alternatives, we strive to make eco-friendly products, like solar panels and energy-efficient HVAC systems, accessible and easy for every homeowner. In your role as a Senior Analytics Engineer, you'll harness your expertise in pipeline development and data visualization to create impactful reports and curated datasets, helping our business partners excel. You'll collaborate closely with stakeholders to identify their analytics needs and unleash your creativity in building dashboards that tell compelling stories through data. Excitingly, you'll also support the broader Analytics team by defining and implementing new data sources, ensuring seamless access to reliable data for all users. We're seeking someone with a strong technical foundation, preferably with BI Analyst or Data Analyst experience, who can navigate complex data landscapes using SQL and visualization tools like Tableau. If you have a knack for explaining technical concepts to non-technical audiences, paired with a passion for improving data usability, then GoodLeap is the place for you! Join us in empowering businesses to embrace sustainable solutions through data and technology, while enjoying competitive compensation and a collaborative work environment where your contributions are valued. Let's make a difference together!

Frequently Asked Questions (FAQs) for Senior Analytics Engineer Role at GoodLeap
What are the primary responsibilities of a Senior Analytics Engineer at GoodLeap?

As a Senior Analytics Engineer at GoodLeap, your primary responsibilities include developing and maintaining data pipelines, building interactive dashboards, and working with business stakeholders to identify their analytics needs. You'll play a crucial role in ensuring that data is curated, structured, and easily accessible for reporting purposes, all while adhering to best practices in data visualization and storytelling.

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What qualifications are required for the Senior Analytics Engineer position at GoodLeap?

To qualify for the Senior Analytics Engineer role at GoodLeap, candidates should possess a BS in Computer Science, Data Science, or a related technical field, along with 3-5 years of relevant experience in analytics roles. A solid background in SQL, experience with Tableau or similar tools, and knowledge of ETL processes are also essential for success in this position.

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How does GoodLeap support professional growth for Senior Analytics Engineers?

GoodLeap fosters a collaborative environment where Senior Analytics Engineers have the opportunity to lead projects that empower analysts and business users. The company encourages continuous learning by allowing team members to explore new technologies and engage in assessments of tools and processes, helping them stay at the forefront of the data analytics field.

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What tools does a Senior Analytics Engineer at GoodLeap commonly use?

In the Senior Analytics Engineer role at GoodLeap, you will commonly use SQL for pipeline development, Tableau or similar data visualization tools for reporting, and Agile methodologies with tools like JIRA for tracking development work. Familiarity with ETL processes and data management software is also critical for success in this position.

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What type of collaboration can a Senior Analytics Engineer expect at GoodLeap?

Collaboration is key at GoodLeap, and as a Senior Analytics Engineer, you'll work closely with various business stakeholders and other members of the Analytics team. This cooperative dynamic enables you to share insights, identify data needs, and translate technical information into actionable solutions that enhance business intelligence and decision-making.

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Common Interview Questions for Senior Analytics Engineer
Can you describe a successful project you've worked on as an Analytics Engineer?

When answering this question, highlight a specific project where your contributions had a significant impact, detailing the challenges faced, the solutions you implemented, and the results achieved. Emphasize the skills you used, such as data pipeline development or data visualization, to show your expertise.

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How do you prioritize data requests from various business stakeholders?

Discuss how you assess the urgency and importance of each request, possibly using criteria like business impact and deadlines. Highlight your communication skills by explaining how you set clear expectations with stakeholders while managing their needs effectively.

Join Rise to see the full answer
Describe your experience with SQL in pipeline development.

Share specific examples of how you’ve used SQL to build data pipelines, focusing on your ability to create efficient queries, optimize performance, and troubleshoot issues. This will demonstrate your technical expertise in a tangible way.

Join Rise to see the full answer
What best practices do you follow for data visualization?

Talk about principles such as simplicity, clarity, and audience consideration, emphasizing your understanding of how to communicate data stories effectively. Mention specific visualization tools like Tableau and any techniques you’ve learned for improvement.

Join Rise to see the full answer
How do you ensure data quality in your projects?

Explain your approach to maintaining data integrity, including methods for validation and monitoring of data quality throughout the analysis process. Providing examples of past experiences can reinforce your competence in this area.

Join Rise to see the full answer
What experience do you have with ETL processes?

Detail your practical knowledge of ETL processes, perhaps discussing specific tools you have used and the frameworks for extracting, transforming, and loading data into systems. This showcases your technical abilities and familiarity with the workflow.

Join Rise to see the full answer
How do you handle challenges in data modeling?

Address your problem-solving skills by discussing recent challenges in data modeling while outlining the techniques you employed to overcome them, such as collaborating with stakeholders to refine requirements and developing a clear strategy for data structure.

Join Rise to see the full answer
Can you explain a time you educated stakeholders on data usage?

Share a story where you successfully communicated complex data concepts to non-technical stakeholders. Highlight the strategies you used, such as simplifying jargon or creating training materials, to demonstrate your ability to bridge the gap between technical and non-technical audiences.

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What motivates you to work as a Senior Analytics Engineer at GoodLeap?

Discuss your passion for using data to drive sustainable solutions and how GoodLeap's mission resonates with you. This insight into your motivation can show your alignment with the company's values, making you a more attractive candidate.

Join Rise to see the full answer
What do you think the future of analytics looks like in sustainable technologies?

Share your vision of how analytics can drive innovation in sustainable technology, discussing trends you see on the horizon, such as increased automation, integration of machine learning, or improved data accessibility. This can showcase your forward-thinking mindset.

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GoodLeap has an ambitious mission: to connect a world in which everyone can live sustainably. GoodLeap provides frictionless, point-of-sale technology for countless mission-driven professionals and millions of people who seek to live a more susta...

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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
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Full-time, remote
DATE POSTED
April 12, 2025

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