[Hiring] Data Analytics Manager @Ashby

Role Description

👋 Hi, I’m Kevin. I manage the Data team and our analytics products at Ashby. I’m hiring our first Data Analytics Manager at an important point in Ashby’s growth.

You will manage Ashby’s three Data Analysts: two core analysts and one analyst focused on Revenue Operations. Our Data Engineer will initially continue to report directly to me, so this role is deliberately more focused on the analytical side of the team while remaining a close partner in the broader data ecosystem.

The primary result of your successful management will be a team of analysts with excellent judgment, strong technical methods, clear communication, and a deep sense of ownership. I am looking for someone who can help that team do better work, choose better work, and grow into the next stage of Ashby alongside the company.

Rather than begin with a long list of tools or years of experience, I want to share four questions that sit at the center of this role. If you apply, your answer should be “yes” to each:

• Can you identify and hire talented people?
• Can you develop and amplify the data practices that let a small team do excellent work?
• Can you lead the team through the transition from broad shared context to meaningful specialization?
• Can you help the Data team navigate the rapidly evolving implications of AI?

These questions add up to a simple reality: Ashby is growing quickly, and the surrounding data needs are becoming more complex. This is a great opportunity at a great company, but it will be hard and consequential work. I am looking for a manager who is excited to help shape the Data function and build an excellent team for its current and future members.

Your responsibilities as a Data Analytics Manager

To understand the role, it helps to understand how our team works today.

• Data Analysts at Ashby are full-stack members of the Data team.
• We do not have a traditional split where Analytics Engineers build models and Data Analysts perform analysis only on prepared datasets.
• Our analysts work across raw and modeled data, contribute to dbt models and metric definitions, conduct deep analysis, build dashboards and other internal data products, and collaborate directly with partners throughout the company.
• The team receives work through a standardized request process.
• We triage requests, assess the actual need, and decide whether it can be addressed quickly or should become a more deliberate project.
• We aim to be good partners: communicate clearly, assess capacity honestly, prioritize thoughtfully, and make deliberate choices about what not to do.

Ashby’s Operating Principles place principled thinking ahead of reflexively leaning on prior experience or convention. You will help us meet the growing demand for data with good judgment.

Why You Should or Shouldn’t Apply

You could be a strong fit if you:

• Have exceptional analytical judgment.
• Can produce and evaluate transparent, rigorous analysis.
• Are a strong visual and written communicator.
• Have deep hands-on SQL experience, plus working fluency with dbt-style data modeling, cloud data warehouses, and BI tools.
• Have led, managed, or functionally acted as a manager for data practitioners in a high-growth company.
• Bring a product-manager-like instinct for finding the core need behind a request.
• Are pragmatic and intellectually flexible.
• Are intimately familiar with the B2B SaaS industry.
• Have an eye and instinct for simplicity over complexity.
• Have experience in a growth-stage, product-oriented technology company.

Put another way, you shouldn’t apply if you:

• Are looking for a pure-management role removed from the details of analytical work.
• Have only worked in an environment where analysis begins after another team has fully prepared the data.
• Prefer spreadsheet-only analytical work.
• Would rather use a metric, dashboard, experiment, or process by default than first ask what degree of evidence is actually needed.
• Are looking for consumer-scale data infrastructure projects.
• Are seeking an in-person work experience.
• Have never formally managed a data team.

Benefits

• Competitive salary and equity.
• 10-year exercise window for stock options.
• Unlimited PTO, and we will encourage you to take it.
• A minimum of 12 weeks of fully paid parental leave.
• Generous equipment, software, and office furniture budget.
• $100/month education budget with more expensive items covered with manager approval.
• Top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby.