[Remote] Data Analytics Manager

Note: The job is a remote job and is open to candidates in USA. Ashby is a remote B2B SaaS company building products for growing businesses. The company is seeking its first Data Analytics Manager to lead and develop a team of data analysts, improve analytical practices, guide specialization, and help the Data team navigate the evolving applications of AI. This player-coach role also involves hands-on analytical work across SQL, data modeling, dashboards, and business analysis.

Responsibilities

• Manage Ashby’s three Data Analysts: two core analysts and one analyst focused on Revenue Operations
• Continue to grow the analyst team and play a meaningful role in finding and assessing future teammates
• Improve the ways we prioritize work, review it, share knowledge, maintain quality, and collaborate
• Lead the team through the transition from broad shared context to meaningful specialization
• Help the Data team explore and evaluate the relevant tools, workflows, and partnerships—bringing ambition, practicality, and a high bar for accuracy
• Help shape the Data function and build an excellent team for its current and future members
• Help analysts work through difficult problems
• Help us meet the growing demand for data with good judgment
• Aid the standardized work-request process by communicating clearly, assessing capacity honestly, prioritizing thoughtfully, and making deliberate choices about what not to do
• Remain hands-on with analytical work as you learn the business and the team, and remain close enough to the work to guide its quality well
• Conduct deep analysis, build dashboards and other internal data products, and collaborate directly with partners throughout the company
• Contribute to dbt models and metric definitions
• Help extend open access to data throughout the company

Skills

• Have exceptional analytical judgment. You can calibrate the depth and rigor of an analysis to the decision at hand: knowing when precision matters, when uncertainty is material, and when additional work would not change the outcome
• Can produce and evaluate transparent, rigorous analysis. You bring readers along through the problem context, data considered, assumptions, meaningful cleaning or reduction steps, caveats, statistical pitfalls, and practical conclusion
• Are a strong visual and written communicator. You care about clear tables and charts, meaningful labels and definitions, coherent narratives, and making complex work understandable without overstating certainty
• Have deep hands-on SQL experience, plus working fluency with dbt-style data modeling, cloud data warehouses, and BI tools. You do not need to have owned a warehouse as a Data Engineer, but you should be comfortable working across the analytical data stack
• Have led, managed, or functionally acted as a manager for data practitioners in a high-growth company. Formal people-management experience is valuable, but not required if you have demonstrated equivalent judgment, coaching, hiring, and team-leadership abilities
• Bring a product-manager-like instinct for finding the core need behind a request, understanding users and business context, and turning ambiguous questions into useful work
• Are pragmatic and intellectually flexible. You see data as one important input to good judgment alongside qualitative research, collaboration, user understanding, and clear thinking
• Have an eye and instinct for simplicity over complexity in all matters
• Have experience in a growth-stage, product-oriented technology company and are energized by helping a lean team scale
• You can appreciate the whole distribution as much as a point estimator
• You are looking for a pure-management role removed from the details of analytical work. You will need to be comfortable getting hands-on as you learn the team and helping analysts work through difficult problems
• You have only worked in an environment where analysis begins after another team has fully prepared the data. Ashby analysts are expected to work across the stack, from modeling through final analysis and dashboards
• Spreadsheet-only analytical work is your preferred mode. Fluency with SQL in a modern data warehouse is essential
• You would rather use a metric, dashboard, experiment, or process by default than first ask what degree of evidence is actually needed to make a good decision
• You are looking for consumer-scale data infrastructure projects. We have a large and interesting dataset (see our [Talent Trends](https://www.ashbyhq.com/talent-trends-report) reports!), but we are a B2B SaaS company. Relative to many B2C services, we are small but mighty
• You are seeking an in-person work experience. Ashby is remote, although there are employee hotspots around the world and we meet in person at various events throughout the year

Benefits

• 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, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements.
• Generous equipment, software, and office furniture budget.
• $100/month education budget with more expensive items (like conferences) covered with manager approval.
• If you’re in the US, top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby.
• In other countries, high-quality supplemental health insurance for you and your dependents, also fully covered by us.
• Remote work arrangement.

Company Overview