Shield AISenior Analytics Engineer - Finance (R6185)
Shield AI is hiring a Senior Analytics Engineer - Finance (R6185) in San Diego, United States. It pays $120k-$190k a year and Level rates it ; you can apply on Level.
AI in this role
Design and deliver trusted data products and AI-enabled decision support for corporate finance on Databricks.
Job Description:
Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact.How we rate this
Senior Analytics Engineer - Finance (R6185) at Shield AI rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics engineering was part of your work. What did you do?
- Tell me about a project where finance was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Analytics Engineering, Finance, SQL, Data Modeling, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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