> Markdown version of [/jobs/ext/2720705-data-analytics-manager](https://www.wearedevelopers.com/jobs/ext/2720705-data-analytics-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Manager - **Company:** ASHBI PARTNERSHIP - **Location:** Ashby, MN, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Data Analysis, Spreadsheets, Cloud Database, Data Infrastructure, Data Warehousing, Open Access, SQL Databases - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-analytics-manager-ashby-9780725 ## About the Role * 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. ## Description 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. As a rough sketch, the team receives work through a standardized request process. Anyone can make a request; we triage it, assess the actual need, and decide whether it can be addressed quickly or should become a more deliberate project with a kickoff and plan. We do not currently organize ourselves around universal SLAs, sprints, or points. Instead, we aim to be good partners: communicate clearly, assess capacity honestly, prioritize thoughtfully, and make deliberate choices about what not to do. You will have a lot of leverage in aiding this process well. Ashby's Operating Principles place principled thinking ahead of reflexively leaning on prior experience or convention. In practice, that means work at Ashby does not always start with "let's get all the data and metrics." Data is one useful tool for resolving uncertainty; it is not automatically the first or only tool. That said, as the company matures and more teams optimize their work, demand for data will likely continue to grow. You will help us meet that demand with good judgment., * 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 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. Naturally, this role is important and represents a combination of different skills. You may not meet every dimension perfectly, and that's OK. 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. Data Culture at Ashby 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 :) Interview Process Our interview process is thorough, but we aim to be respectful of the total candidate time invested. We aim to ensure each person that joins the team is the right fit for Ashby and will provide ample information for you to determine if Ashby is the right fit for you. The expected process for this role is as follows: * Hiring Manager Screen (30 mins) * Technical Screen (45 min) * Assessment: Mini Analysis and Write-up (45min) * Final Round - Virtual Onsite (~2.5, can be split into multiple days) + (45 mins) Data Team: Analysis and Productivity + (45 mins) Data Team: Analysis and Collaboration + (30 mins) Business Partnership + (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. 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