Application Guide
How to Apply for Staff Analytics Engineer
at Aurora Solar
🏢 About Aurora Solar
Aurora Solar is at the forefront of the clean energy revolution, leveraging AI to transform how solar companies design, sell, and manage solar installations. Their platform is critical to accelerating solar adoption, making this a mission-driven company where your work directly impacts sustainability goals. With a remote-first culture and a strong focus on data-driven decision-making, they offer a collaborative environment for analytics professionals to drive real change.
About This Role
As a Staff Analytics Engineer at Aurora Solar, you will own the analytics lifecycle from data modeling to dashboard delivery, enabling stakeholders across Finance, Product, and Go-to-Market to make informed decisions. Your work on scalable dbt models and intuitive Looker dashboards will be foundational to measuring KPIs like customer acquisition cost, LTV, and operational efficiency. This role is high-impact, as your insights will directly influence product strategy and business growth in the solar industry.
💡 A Day in the Life
Your day might start with a standup with the Data Engineering team to discuss pipeline reliability. You'll then spend a few hours designing a new dbt model for GTM team's lead scoring, writing SQL transformations and adding tests. After lunch, you review a Looker dashboard with Product stakeholders, iterating on filters and visualizations. You end the day documenting best practices for dbt model naming conventions, ensuring consistency across teams.
🚀 Application Tools
🎯 Who Aurora Solar Is Looking For
- -
- H
- a
- s
- 4
- +
- y
- e
- a
- r
- s
- i
- n
- a
- n
- a
- l
- y
- t
- i
- c
- s
- o
- r
- a
- n
- a
- l
- y
- t
- i
- c
- s
- e
- n
- g
- i
- n
- e
- e
- r
- i
- n
- g
- ,
- w
- i
- t
- h
- d
- e
- e
- p
- e
- x
- p
- e
- r
- t
- i
- s
- e
- i
- n
- S
- Q
- L
- ,
- d
- b
- t
- ,
- a
- n
- d
- L
- o
- o
- k
- e
- r
- i
- n
- p
- r
- o
- d
- u
- c
- t
- i
- o
- n
- e
- n
- v
- i
- r
- o
- n
- m
- e
- n
- t
- s
- .
- -
- T
- h
- r
- i
- v
- e
- s
- o
- n
- c
- r
- o
- s
- s
- -
- f
- u
- n
- c
- t
- i
- o
- n
- a
- l
- c
- o
- l
- l
- a
- b
- o
- r
- a
- t
- i
- o
- n
- ,
- t
- r
- a
- n
- s
- l
- a
- t
- i
- n
- g
- b
- u
- s
- i
- n
- e
- s
- s
- q
- u
- e
- s
- t
- i
- o
- n
- s
- f
- r
- o
- m
- F
- i
- n
- a
- n
- c
- e
- ,
- P
- r
- o
- d
- u
- c
- t
- ,
- a
- n
- d
- G
- T
- M
- t
- e
- a
- m
- s
- i
- n
- t
- o
- s
- c
- a
- l
- a
- b
- l
- e
- d
- a
- t
- a
- m
- o
- d
- e
- l
- s
- .
- -
- I
- s
- m
- e
- t
- i
- c
- u
- l
- o
- u
- s
- a
- b
- o
- u
- t
- d
- a
- t
- a
- q
- u
- a
- l
- i
- t
- y
- a
- n
- d
- g
- o
- v
- e
- r
- n
- a
- n
- c
- e
- ,
- w
- i
- t
- h
- e
- x
- p
- e
- r
- i
- e
- n
- c
- e
- e
- s
- t
- a
- b
- l
- i
- s
- h
- i
- n
- g
- b
- e
- s
- t
- p
- r
- a
- c
- t
- i
- c
- e
- s
- f
- o
- r
- d
- b
- t
- a
- n
- d
- L
- o
- o
- k
- e
- r
- .
- -
- I
- s
- p
- a
- s
- s
- i
- o
- n
- a
- t
- e
- a
- b
- o
- u
- t
- s
- u
- s
- t
- a
- i
- n
- a
- b
- i
- l
- i
- t
- y
- a
- n
- d
- e
- a
- g
- e
- r
- t
- o
- a
- p
- p
- l
- y
- t
- h
- e
- i
- r
- s
- k
- i
- l
- l
- s
- t
- o
- a
- c
- c
- e
- l
- e
- r
- a
- t
- e
- t
- h
- e
- t
- r
- a
- n
- s
- i
- t
- i
- o
- n
- t
- o
- r
- e
- n
- e
- w
- a
- b
- l
- e
- e
- n
- e
- r
- g
- y
- .
📝 Tips for Applying to Aurora Solar
1. Showcase specific dbt projects you've built from scratch, including how you modeled KPIs and ensured data quality. Mention any contributions to dbt packages or open-source.
2. In your resume or cover letter, highlight Looker dashboards you've created that drove business decisions—quantify the impact (e.g., reduced reporting time by 30%, identified $500K cost savings).
3. Demonstrate cross-functional collaboration by describing a time you partnered with Finance or Product to define a metric and then built the data model to support it.
4. Emphasize your experience with data governance and best practices—Aurora Solar values reliability and scalability. Mention testing, documentation, and version control using git.
5. Tailor your application to Aurora Solar's mission: mention your interest in solar/renewable energy, even if it's a new field. Show you've researched their platform and how it drives solar adoption.
✉️ What to Emphasize in Your Cover Letter
- Your passion for sustainability and how your analytics skills can directly contribute to Aurora Solar's mission of accelerating solar adoption. - Specific examples of end-to-end analytics projects where you built dbt models and Looker dashboards that influenced key business decisions. - Your experience collaborating with cross-functional teams (Finance, Product, GTM) to translate business needs into scalable data solutions. - Your commitment to data quality and best practices, ensuring reliable and trustworthy analytics for stakeholders.
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → - Read Aurora Solar's blog and case studies to understand their product and how they measure success. Look for mentions of KPIs like 'installation time reduction' or 'lead conversion'.
- → - Explore their public dbt projects or Looker blocks if available. Understand their tech stack (Snowflake? BigQuery?) and any open-source contributions.
- → - Research the solar industry's data challenges: seasonality, regulatory changes, customer acquisition costs. Think about how analytics can address these.
- → - Check LinkedIn for current employees in analytics or data engineering roles to understand team culture and projects they're working on.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- 1. Submitting a generic application that doesn't mention dbt, Looker, or solar/renewable energy. This role requires specific tool expertise and industry interest.
- 2. Overemphasizing data science or machine learning skills. This is an analytics engineering role focused on data modeling, not advanced ML.
- 3. Neglecting to show end-to-end ownership. Avoid claiming you 'collaborated' on a model without specifying your individual contribution to design, build, and maintain.
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!