Okay, I've searched for Senior Revenue Operations Analyst roles in the United States that support remote work, require 5+ years of experience, and prioritize skills in SQL and marketing analytics. I have found 173 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Revenue Operations Analyst role at Lob is fundamentally designed to bridge marketing performance with revenue impact, ensuring data-driven visibility and strategic insight across the full funnel. This role requires deep analytical expertise, particularly around multi-touch attribution models and complex funnel diagnostics, to optimize how marketing efforts convert into pipeline and bookings in a hybrid Account-Based Marketing (ABM) and inbound sales environment. Beyond technical skills like SQL, Looker, and Salesforce proficiency, success in this position depends on the ability to translate ambiguous business challenges into actionable insights that inform go-to-market (GTM) decisions. Given the rapid product evolution and growing customer base, the analyst must operate with a proactive and collaborative mindset, effectively partnering across marketing ops, sales ops, and demand generation teams. Anticipated challenges include ensuring data integrity across multiple systems, balancing inbound and outbound marketing tracking, and evolving reporting tools to support strategic shifts—such as the move toward a usage-based model. Performance will be measured by improvements in attribution accuracy, quality of insights driving GTM pivots, and creating scalable, repeatable models that enable leadership to optimize marketing investments and pipeline velocity within the first year.

Company Analysis:

Lob positions itself as an innovative fintech SaaS company that democratizes and modernizes direct mail by providing API-driven solutions that rival the immediacy and measurability of digital channels. Operating in a niche yet rapidly expanding market space with over 12,000 customers, Lob combines technical sophistication with a customer-centric ethos. The company’s venture-backed status and recognition for remote work excellence suggest a high-growth culture that values innovation, diversity, and cross-functional collaboration. The environment likely balances startup agility with structured operational rigor, especially within RevOps where data reliability and strategic alignment are crucial. For a Senior Analyst, this means navigating complexity and ambiguity while partnering closely with various teams to scale processes and influence high-level decisions. Cultural emphasis on empowerment and leveling up indicates support for professional growth, but also high expectations to deliver impact early. Strategically, this role is central to Lob’s ongoing transition to a usage-based revenue model and reflects an investment in sophisticated revenue analytics to fuel sustainable growth and more granular ROI tracking.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to clean and unify data from multiple marketing platforms to create a reliable dashboard. How did you ensure data integrity and stakeholder alignment?
• Behavioral: Describe a situation where your data-driven insights led to a significant change in a marketing or sales GTM strategy. What was your approach and the outcome?
• Behavioral: How have you handled cross-functional collaboration challenges when working with both marketing and sales operations teams?
• Behavioral: Give an example of when you had to make sense of ambiguous business goals and translate them into a clear data analysis project. What steps did you take?
• Technical/Role-Specific: How would you design and implement a multi-touch attribution model for a hybrid ABM and inbound marketing funnel? What factors would you prioritize?
• Technical/Role-Specific: Walk me through your experience working with Looker, Redshift, and Polytomic to build and maintain revenue dashboards. What are best practices you follow?
• Technical/Role-Specific: What SQL techniques do you commonly use to analyze funnel performance and ensure meaningful funnel stage transitions are accurately captured?
• Technical/Role-Specific: How do you approach validating the accuracy of lead source data in Salesforce and Marketo to ensure correct attribution and lead routing?
• Situational: Imagine a key marketing campaign's ROI looks unexpectedly low despite high engagement metrics. How would you investigate and uncover the cause?
• Situational: If you noticed conflicting performance insights between sales and marketing dashboards, how would you approach resolving this discrepancy?
• Situational: Suppose leadership wants to understand marketing's contribution to revenue segmented by lead source for the first time. How would you develop a repeatable model to deliver this?
• Company Fit/Motivation: What excites you most about Lob’s vision to make the world programmable through modern direct mail APIs?
• Company Fit/Motivation: How do you see your background and skills supporting Lob’s shift toward a usage-based GTM revenue model?
• Company Fit/Motivation: Lob emphasizes #LevelUp and #EmpowerDiversity. How do these values align with your personal and professional approach?
• Candidate Questions: How does the Revenue Operations team currently collaborate with GTM leadership to influence strategic decision-making?
• Candidate Questions: Can you describe some recent improvements or innovations Lob has made in revenue analytics or marketing attribution?
• Candidate Questions: What are the biggest challenges Lob faces in moving towards a usage-based business model, and how can this role contribute?