Octane11 is an AI-powered marketing analytics platform — for B2B only — that connects paid, owned, and earned marketing activity to sales data in order to deliver clear, actionable insights. We help B2B-focused agencies and enterprises with $25M+ in revenue improve marketing efficiency by 10x, deliver 5x more sales leads, and compare performance to 25 industry benchmarks. Backed by top VCs and industry insiders, Octane11 is helping some of the largest B2B enterprises and agencies break down data silos and turn every digital interaction into an actionable insight.
We are looking for a highly skilled, organized and self-motivated Sr. Analytics Engineer to join our growing data team. This is a hands-on, high-impact role focused on data modeling, analytics, and business logic — the person who digs deep into our data, understands the "why" behind the numbers, and translates complex business requirements into clean, well-structured, scalable models.
We are a lean, self-organized, and highly autonomous team. You will work directly with engineers, product managers, and other stakeholders to build and maintain the data foundation that powers our platform and client insights. We care deeply about best practices, clean code, and building things that last. AI-assisted development is part of our day-to-day, for accelerating development or exploring data problems in new ways. You'll have the opportunity to help shape how we use them as a team. This is an outstanding opportunity to make a real impact on a fast-growing, entrepreneurial team with unlimited potential for learning, responsibility, and career development.
Beyond technical skills, we value curiosity, a collaborative spirit, and a genuine interest in the business problems behind the data. We believe the best engineers are those who care about impact, take ownership, and keep growing.
These are nice-to-haves that could make you an especially strong fit:
We use a variety of technologies across our data platform. We are open to candidates from different backgrounds — what matters most is strong fundamentals and a genuine desire to learn and grow.
These are representative examples of the kind of work you'd be doing — not an exhaustive list, but a window into what the role looks like in practice.
Dive deep into existing dbt models, understand the business logic behind them, and confidently extend or refactor them to support new use cases. The goal is always clean, well-tested, well-documented models the whole team can rely on.
Work alongside Data Engineers to model and incorporate data from new sources as we expand our integrations. Examples include: paid media platforms (Reddit Ads, Meta, LinkedIn, The Trade Desk), CRM/MAP tools (Salesforce, Marketo, HubSpot), and product analytics tools (Amplitude). Your job is to take the raw data and make it meaningful and usable within our existing models.
Help build the data foundation for cross-client benchmark insights — one of Octane11's core differentiators. This involves thinking carefully about how to model data consistently across clients and channels, and ensuring the logic is sound at scale.
Participate in grooming and planning sessions, bring strong input into data-related tickets, and help the Product team understand what the data can (and can't) do. This is a collaborative role — you'll be a trusted voice in shaping what gets built and how.
Proactively identify gaps in data quality, freshness, or test coverage. Build monitoring and alerting where it's missing. Raise the bar on what "production-ready" means for our data layer.
As the platform grows, help evolve our dbt project: incremental models, better test coverage, cleaner documentation, and a structure that stays maintainable as we add clients, channels, and use cases.
If you are a senior data professional who loves getting into the details of business logic, building models that teams can rely on, and being a strong contributor on a small but mighty team — we want to hear from you!
Join 150+ B2B marketing teams who've turned data complexity into competitive advantage.