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, i.e. go-to-market stakeholders, 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)
• You have strong working knowledge of GTM motions in B2B SaaS: sales, marketing, customer success, pipeline forecasting, and revenue analytics

Desirable

• This is not a generic “business analyst” role - this is a modern Data Analyst role requiring fluency in the data warehouse, strong analytical rigor, and the ability to work end-to-end (from raw or lightly modeled data through final insight, modeling adjustments, and BI deliverables)
• Your analytical standards, modeling practices, and approach to problem-solving will be developed and maintained in close partnership with the Data Team, while your project portfolio will be shaped by RevOps
• As an embedded analyst, you will serve as the analytical counterpart to RevOps leadership: helping to scope business questions, build robust data assets, design metrics and dashboards, and communicate insights that influence GTM strategy
• A strong working knowledge of GTM motions in B2B SaaS will help you excel, though deep curiosity and strong fundamentals can also make up the difference
• Because this role sits at the intersection of RevOps and the Data Team, you’ll have broad ownership and visibility across domains
• You will work on everything from revenue funnel diagnostics and sales efficiency analyses to marketing cohort performance, capacity planning, retention/expansion patterns, and operational metrics that help our GTM leaders run the business
• You will also contribute to the underlying data models and help mature the analytical operating system for GTM at Ashby
• If you’re a technically strong Data Analyst who enjoys owning the full analytical lifecycle, partnering directly with business stakeholders, and improving the modeling and data products that sustain an organization, this role will be an excellent fit

• 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 Data Engineering
• (30 mins) Working with Go-to-Market Stakeholders
• (30 mins) Chat with a Founder
• (15 mins) Follow-Up Conversation + Debrief with the Hiring Manager
• Note: please do not reach out to the broader Ashby team requesting more information or time to connect. We will diligently review all applications in detail after the public posting period is over