Data Analyst, Ashby

• The essence of this role dictates that you must be analytical, conversant in statistical reasoning, and capable of managing the data you work with from inception through synthesis of results in the appropriate downstream assets. There are a lot of ways to meet those responsibilities. If the dot product of your skill vector with this requirements vector is close to 1, please consider applying, but please note it does not have to be 1.0
• 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

Desirable

• 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
• At Ashby, we draw a clear distinction between when to look to data for "the answer" and when to use data to aid principled thinking for decision making
• In general, a primary consideration is whether or not data is needed to help clarify points of uncertainty
• When data is considered necessary, a secondary consideration is to what depth data will be required
• Data questions lend themselves to ongoing "what about..." or "what if..." explorations, which can be important in some situations but are not always necessary
• With these dynamics in mind, we do not foster an environment where every decision we make should be backed by data, but we do foster an environment where teammates ask whether or not data will fit the task at hand well
• This, in turn, allows us to operate a lean team focused on projects where data provides true leverage to our overall business and product goals
• As a related but distinct point, Ashby’s data culture, as far as transparency and access goes, is very open
• We share company-wide access to our financial standings, progress, goals, and generally make any data and reporting results broadly available
• Outside of constraints related to whether a teammate has access to a particular tool, there are close to no constraints on access the state of the company as told by data or reporting
• In general, we would like to continue and extend open access to data throughout the company (with your help!), but with consideration and not as a substitute for principled thinking
• As it will undoubtedly be a point of interest, a quick summary of our data stack is provided here
• Our production database is postgres, which we integrate into a Snowflake data warehouse via Polytomic
• All other business systems are integrated via Fivetran (the GTM stack involves HubSpot as our CRM and Stripe, most notably)
• We use Prefect for orchestration and dbt for data modeling
• Frontend event tracking is done via Rudderstack
• Data visualization and reporting varies, but the broader company is primarily served standardized analytics via Looker
• For version control we use Git/Github (and Github Actions for CI/CD)
• As an Analyst, you'll be at liberty to work in a notebook or tool of your choice, but Hex is the burgeoning standard and likely recommendation
• Internal documentation lives in Slab and dbt docs

• Deadline to Apply: August 28, 2025 at 12:00 AM UTC
• Our interview process is thorough. We aim to ensure each person that joins the team is the right fit for Ashby and will provide ample information for you to assess if Ashby is the right fit for you. The process for this role is as follows:
• Hiring Manager Screen (30 mins)
• Take Home Assignment: Mini Analysis and Write-up (~3-4 hours)
• Final Round - Virtual Onsite (~2.5, can be split into multiple days)
• (45 mins) Analysis Projects Deep Dive
• (30 mins) Working with Product Stakeholders
• (30 mins) Working with Go-to-Market Stakeholders
• (30 mins) Chat with a Founder
• (15 mins) Follow-Up Conversation + Debrief with the Hiring Manager