Sr. Data Analyst

• 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

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

Working Style

• Values diversity and fosters inclusion on a team with a wide range of identities and experiences
• Partners with the teams they support on what the right question is, rather than taking the request as given
• Drives to find new tools and ways of working, and spreads them to uplevel the team and the partners they work with
• Takes pride in end-to-end ownership. Cares that the numbers are trusted and used, with a point of view about where the domain should go

Nice-to-Haves

• 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

• We invest in our employees’ development and happiness because our employees are the keys to our success and ensuring happy customers
• The opportunity to join a seasoned founding team that has led companies through two prior successful startups and acquisitions (by Oracle and Dropbox).
• Flexible vacation/time-off policy
• All federal holidays are observed
• Competitive benefits package including additional wellness benefits
• Parental leave for birthing or non-birthing parents – 100% pay for 12 weeks
• 401(k) plan