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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Marketing Llc - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $126,000.0 - $170,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Systems, Python (Programming Language), Automation of Marketing, Standard Sql, Salesforce.Com, SQL Databases, Snowflake, AI Platforms, Marketo, Looker Analytics - **Published:** September 30, 2026 - **Apply:** https://startup.jobs/sr-data-analyst-pilot-10227703 ## About the Role Even if you don't have experience with the specific technologies in our stack, we'd love to talk to you! * 5+ years in analytics, including owning a business domain and the stakeholder relationships in it * Deep marketing analytics experience: channel performance across paid and organic, the funnel from lead through closed-won, and the unit economics on top of it * Has built or replaced an attribution model, and can explain where it breaks down * Experience designing and reading out incrementality tests, whether geo, holdout, or comparable, including the statistical work in Python or R * Designs the comparisons and controls a finding needs, and states plainly what the data does and does not support * Strong SQL, and builds reporting in Looker or a comparable BI tool that non-analysts use on their own. Comfortable building and extending models in dbt, or able to pick it up quickly * Works directly with executives, including reframing a request that will not answer the underlying question, * Media mix modeling or other top-down measurement experience * Marketo and Marketo Measure, or comparable marketing automation and attribution tools * Salesforce, including campaign influence reporting * Ad platform APIs, PartnerStack, GA, or other spend and engagement sources * Brand or offline measurement experience * ABM account funnel work * Production dbt experience * B2B SaaS with both sales-led and self-serve motions * Fintech, accounting software, or professional services background, Pilot commits to provide a work environment free of discrimination and harassment, as well as equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. You may view all of Pilot's recruiting notices here, including our EEO policy, information about requesting a reasonable accommodation in the job application process, recruitment agency policy, recruitment scam notice, and important E-Verify information. You may view our job candidate privacy policy here. ## Description Pilot is hiring a Senior Data Analyst to own our marketing analytics and uplevel our data-driven decision-making as we embark on the fastest-growing and quickest-evolving time in our company's history. Pilot has spent years providing reliable back office services to over 3,000 businesses so they can focus on running their business. This year we announced our AI accounting platform, Meridian, and it has quickly become an industry leader because it was built with the nearly a decade of experience Pilot has building a platform for accountants and providing high quality accounting services. While this new product is exciting, it comes with a plethora of new complexity as we strive to grow our current back office services while also rapidly growing our AI platform clientele. Marketing is the biggest single driver of our revenue and is our largest spend line. With Meridian, our marketing motion is rapidly changing: more events, more brand investment, and more channels. With this, attribution, tracking, and reporting get harder and harder but more and more important. We need someone experienced and knowledgeable in the domain to lead our analytics to where it needs to go. As a Senior Data Analyst, you will work closely with the marketing team and company leadership to own marketing analytics across attribution, channel economics, experimentation, and incrementality. You will identify which channel dollars are paying off and how we should reallocate our budget to maximize revenue efficiency. Most importantly, you will own closing the gap between us being data-informed and having a data-driven marketing engine. This is a strong fit for someone who strives to turn data and analytics into actionable insights and tangible impact, and who works with high-level leaders not just as a consumer of their data asks, but as a partner in finding the right data solutions. Pilot's data stack is Snowflake, dbt, and Looker, with Marketo, Marketo Measure, and Salesforce on the marketing side. We are active users of Claude Code to make our processes more efficient and our output more prolific., * Own attribution: make campaign-level multi-touch attribution usable and move marketers off Salesforce campaign influence reporting * Own channel efficiency at the top of the funnel: cost per lead, per SQL, and per pipeline dollar by channel and campaign group, and recommendations on where to allocate the next dollar * Design, run, and report on incrementality tests, including holdout and geo tests * Measure brand and event channels: podcast and conference sponsorships, advertorial, webinars, and brand spend. Group channels where a channel-by-channel read is not possible, and use observed lift where a controlled test is not available * Own marketing unit economics: LTV, CAC, and CAC payback by segment, cost to serve, and the ideal customer profile for our direct business * Build GTM analytics for our new product line as deal volume arrives: lead scoring, closed-lost analysis, and engagement depth * Support lifecycle and nurture marketing: measurement for a team that does not source its own leads, and driver analysis on re-engagement * Define the marketing data model: the sources, metrics, and models the work depends on. Build them in dbt where you can, and partner with our analytics engineer on ingestion and the heavier platform work * Build reporting that marketers can run on their own for campaign and channel performance * Partner with marketing leadership in their planning and budget cycles, and take on work outside marketing when the business needs it