Ashby is building the next generation of recruiting software and is looking for a Data Analyst to help them leverage their global recruiting data to provide valuable insights and benchmark reports for both Ashby and the broader employer and candidate job markets.
Requirements
- Expertise in SQL-based data analysis
- Strong in analytical and statistical thinking
- Expertise with data visualization (i.e. visual communication of results)
- 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
- Proficiency in Python (primarily in the domain of data analysis and visualization)
- Experience in modeling and working with product analytics events
- Working proficiency in dbt-based data modeling
Responsibilities
- Primarily focused on product-related analytical questions, covering standard analyses and related assets (analysis summaries, metric monitoring, dashboards, etc).
- Responsible for analysis work that becomes standardized internal dashboards for other Ashby team members.
- Own and execute analyses from raw data through to final summary.
- Contribute directly to Ashby's product roadmap through internal analysis work.
- Generate insights from data.
- Build internal “data products” based on analysis results, e.g. high-usage dashboards via BI tools (Looker, Tableau, etc) for various business partners.
- Work with data from inception through synthesis of results in the appropriate downstream assets.
Other
- Interest in working directly with business partners, e.g. product or go-to-market teammates, to identify and plan related analysis efforts
- 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
- You identify as exceptionally curious by nature
- You have been a first or earliest data analyst at a growing, fast-moving startup
