Application Guide
How to Apply for Applied Analytics Lead
at Overstory
๐ข About Overstory
Overstory uses real-time satellite data to help utilities reduce wildfire risk and improve grid reliability, directly combating climate change. As a fast-growing climate tech startup, you'll work on cutting-edge geospatial analytics with a mission-driven team. The remote-first culture offers flexibility while tackling one of the most pressing environmental challenges.
About This Role
As the Applied Analytics Lead, you'll be the bridge between Overstory's advanced satellite analytics and utility customers, translating complex data into actionable insights that prevent wildfires and strengthen infrastructure. You'll own end-to-end analytical projects, shape product roadmaps by surfacing customer needs, and build scalable processes to amplify impact across the customer base.
๐ก A Day in the Life
Start by reviewing new satellite data feeds and customer requests, then dive into SQL or Python to analyze vegetation risk for a utility partner. Midday, you'll present findings to the customer's operations team, translating technical metrics into actionable field priorities. Afternoons are spent collaborating with product and engineering to turn customer feedback into feature requirements, and documenting the process in a reusable playbook.
๐ Application Tools
๐ฏ Who Overstory Is Looking For
- Has 3-5 years of experience as a trusted advisor to utility or energy customers, comfortable navigating regulatory and operational contexts.
- Is proficient in Excel but also eager to learn SQL, Python/pandas, and geospatial analysisโor already has hands-on experience with these tools.
- Excels at translating technical data findings into clear, non-technical recommendations for utility executives and field teams.
- Thrives in a fast-paced startup environment, enjoys building repeatable processes (templates, playbooks) to scale customer success.
๐ Tips for Applying to Overstory
Highlight specific examples where you used data analytics to solve a customer problem in the energy or utility sector.
Show your ability to learn new technical tools quicklyโmention any self-taught SQL, Python, or GIS projects, even if from a previous role.
Demonstrate understanding of wildfire risk and grid reliability challenges; reference Overstory's technology or recent news.
Tailor your resume to emphasize customer relationship management and analytical impact, not just technical skills.
Include a brief note on how you'd approach building scalable processes (e.g., templates for recurring analyses) in your cover letter.
โ๏ธ What to Emphasize in Your Cover Letter
['Your passion for using data to combat climate change and prevent wildfires.', 'Concrete examples of managing utility customer relationships and delivering actionable insights from complex data.', 'Your adaptability in learning new technical tools (SQL, Python, geospatial) on the job.', 'Your vision for scaling customer solutions through process creation and product feedback loops.']
Generate Cover Letter โ๐ Research Before Applying
To stand out, make sure you've researched:
- โ Read Overstory's blog and case studies on how their satellite data helps utilities reduce wildfire risk.
- โ Understand the regulatory landscape for utility vegetation management (e.g., NERC standards, state wildfire prevention laws).
- โ Familiarize yourself with basic geospatial concepts (e.g., NDVI, satellite imagery resolution) to speak the language.
- โ Look up recent funding news or partnerships to gauge company growth stage and customer base.
๐ฌ Prepare for These Interview Topics
Based on this role, you may be asked about:
โ ๏ธ Common Mistakes to Avoid
- Overemphasizing purely technical skills without showing how you've applied them to drive customer business outcomes.
- Ignoring the climate/utility contextโgeneric analytics experience without mentioning wildfire or grid reliability won't stand out.
- Submitting a generic cover letter that doesn't reference Overstory's specific mission or technology.
๐ 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!