Salary
💰 $120,000 - $150,000 per year
Tech Stack
GoPostgresPythonSQLTableau
About the role
- Ashby is building recruiting software to help talent leaders, recruiters, and hiring managers run an efficient and data-driven hiring process. We are well-funded and backed by great investors, including Y Combinator, Elad Gil and Lachy Groom. We have over 1,500 amazing customers including Ramp, Notion, OpenAI and Zapier – yet we've only taken the first steps toward a much larger opportunity. In short, it's the perfect time to join! 🚀
- As a Data Analyst at Ashby you’ll primarily be focused on product-related analytical questions. This will cover the gamut of most standard analyses and related assets (analysis summaries, metric monitoring, dashboards, etc). Given Ashby is well-positioned to capture global recruiting data, our product analyses naturally lend themselves to global job market benchmark reports which are highly valuable to Ashby and the broader employer and candidate job markets (see our Talent Trends for some examples).
- Your responsibilities will cover the whole data funnel: starting from raw or lightly modeled data all the way through final analysis summary. When appropriate, you will be responsible for analysis work that becomes standardized internal dashboards for other Ashby team members. All in, you will have broad analytical ownership and responsibilities, so this is a role best fit for a curious and ambitious type that enjoys touching the whole data analysis ecosystem.
- If you are a product-minded analyst, given Ashby supports a whole recruiting analytics product offering, there is a very real potential that your internal analysis work could contribute directly to our product roadmap. This is not a requirement, but I see it as a genuinely likely possibility and an added bonus.
Requirements
- Expertise in SQL-based data analysis
- Strong in analytical and statistical thinking - you must be able to generate insights
- Expertise with data visualization (i.e. visual communication of results)
- Interest in working directly with business partners, e.g. product or go-to-market teammates, to identify and plan related analysis efforts
- Proficiency building internal “data products” based on your analysis results, e.g. high-usage dashboards via BI tools (Looker, Tableau, etc) for various business partners
- Excellent written and verbal communication. Ashby has a writing-centric culture, but you will also be responsible for direct collaboration with various teammates
- Very detail-oriented: in your analysis work you can anticipate complications and identify bad-but-not-obviously-wrong data discrepancies
- Proficiency in Python (primarily in the domain of data analysis and visualization)
- Experience in modeling and working with product analytics events