Opportunity

Analytics Business Partner at Cribl - $255K SaaS in Columbus

Location Columbus
Company Cribl
Source weworkremotely
Posted 2026-10-21 07:31:11

Career & Market Insight

This is a senior individual contributor / strategic operator role sitting at the intersection of data, business strategy, and cross-functional program management. Reporting to the VP of Data & Analytics within Business Operations, you'll have high executive visibility — a strong signal for career acceleration.

Compensation benchmarks: The $190k–$255k base salary range is competitive for a senior analytics strategy role at a late-stage SaaS company. This sits at the 75th–90th percentile for Analytics/Strategy roles in the US SaaS market, reflecting both the seniority (8+ years required) and the strategic scope. Add bonus and equity for a compelling total package.

Skills you'll develop or deepen:

  • M&A data integration — a rare, high-demand skill in the SaaS space as consolidation accelerates
  • Cross-functional stakeholder management at the VP/C-suite level
  • Data governance and business intelligence council leadership
  • GTM + Finance + Product fluency — increasingly valued as companies scale into multi-product

Green flags: Cribl serves half the Fortune 100, is among the fastest-growing private companies, and is clearly at a pre-IPO inflection point (Series E+ stage implied). This role will carry significant strategic weight in a company likely heading toward a public offering or major liquidity event.

Watch for: The role is deliberately ambiguous and project-driven — candidates who prefer clearly scoped, recurring responsibilities may find the "builds order from chaos" mandate demanding. Strong performers here, however, will have a compelling story for future Chief of Staff, VP Analytics, or COO-track positions.

Headquarters: Remote - United States

Join the company that's building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what's next.

We're one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we're remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Why You'll Love This Role

At Cribl, we're transforming from a flagship-product company into a multi-product powerhouse — and every non-routine business event, whether an acquisition, a product launch, or a go-to-market shift, adds complexity our data, definitions, and reporting weren't built to handle. As the Analytics Business Partner, you're the person who closes that gap — translating a new product or customer into our existing data, systems, and reporting: how it connects to what we already have, how value is attributed, how we define and track it going forward.

Reporting to the VP of Data & Analytics — part of Cribl's broader Business Operations organization alongside Strategy & Operations and Business Effectiveness — you'll operate horizontally across the business rather than embedding in a single function.

This is a high-impact role for a strategist who thrives on ambiguity and builds order from chaos. If you are eager to contribute to a company poised for generational success, we want to hear from you.

As An Active Member Of Our Team, You Will…

  • Diagnose and Drive the Solution. When a non-routine business event doesn't fit with how we currently track or report on the business, define the solution. Whether a system change, a new process or policy, or a different data model, serve as the Directly Responsible Individual (DRI) for working with the necessary cross-functional teams to get it delivered.
  • M&A Integration. When we acquire a company, own and drive how its products and customers fit into our existing reporting and data models, ensuring we can capture the impact of the acquisition post deal close.
  • New Product Launch. When we launch a new product, understand how Product defines its success metrics, and make sure our models, definitions, and reporting can track against those metrics post launch.
  • Keep Execution Moving. When a change spans across the Data and Analytics team (Data Engineering, Analytics, Data Science, Data Governance), sequence who does what first, own the handoffs between them, catch duplication or gaps before they cost the team time, and push the pace when the event demands it.
  • Stand Up the Business Intelligence Council. Establish and run the forum where cross-functional leaders align on key measures, attributes, and hierarchy definitions, and on prioritization across competing data and analytics efforts — and drive it to actual resolution, rather than let it stall as a standing meeting.
  • Know The Business. Maintain a working picture of how GTM, Finance, Product, and other functions operate, knowing who to engage so a project doesn't start or drift without the right people engaged. For example, understanding how Product Marketing is positioning a new feature, how it needs to be represented across applications in partnership with IT, and how Finance will measure its impact, before scoping the data work for it.
  • We are a remote-first company and work happens across many time zones — you may be required to occasionally perform duties outside your standard working hours.

If You've Got It — We Want It

  • 8+ years in management consulting, in-house strategy, business operations, or business analytics, with a track record of operating in unfamiliar functions and reframing ambiguously-posed questions.
  • Fluency across GTM, Finance, Product, and other functions — enough to know that "customer" may mean something different to Sales than it does to Finance, and to reconcile the difference rather than pick a side.
  • You can join multiple tables, write a CTE, and get the aggregation grain right — enough to answer your own question — though hands-on query and dashboard work won't be your primary responsibility in this role.
  • Given a reporting issue, you know not to default to a "data-only" answer — you can tell whether the real problem is a system that isn't capturing the right data, a process nobody owns, or a data model that no longer matches the business.
  • Ability to flex your communication style as needed — equally fluent giving execs the top-line takeaway and working through the nuances with operational teams to drive a solution.
  • First-hand experience ensuring a business's data and reporting keep up following an acquisition or new product launch — designing and driving the solution so the business doesn't lose visibility into itself.
  • Bonus: Experience inside a post-close M&A integration, a new product introduction, or a go-to-market model change.
  • Bonus: Experience in late-stage B2B SaaS startups (i.e., Series E+) and/or early public B2B SaaS companies (e.g., 3–5k employees).

Compensation

The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.

In addition to base salary, employees are eligible to participate in the Cribl Corporate Bonus Program. Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.

Base Salary Range: $190,000 — $255,000 USD

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We're building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you'll ever meet at cribl.io/about-us.

To apply: https://weworkremotely.com/remote-jobs/cribl-analytics-business-partner

Frequently Asked Questions

Is this role truly remote or does it require working from a specific US location?
The role is remote-first with headquarters listed as Remote - United States. There is no specific city requirement, but the role is anchored to US-based employment and you may occasionally need to work outside standard hours to accommodate global teammates.
What is the salary range for the Analytics Business Partner role at Cribl?
The base salary range is $190,000 to $255,000 USD, dependent on geographic location and individual experience. Employees are also eligible for the Cribl Corporate Bonus Program and equity, in addition to a full benefits package.
How much SQL or technical data experience is required for this role?
You need enough SQL proficiency to join tables, write CTEs, and get aggregation grain right to answer your own questions, but hands-on query writing and dashboard development are not primary responsibilities — strategic and cross-functional problem-solving are.
What kind of background does Cribl prefer for this Analytics Business Partner position?
Cribl is looking for 8+ years in management consulting, in-house strategy, business operations, or business analytics. Bonus points for experience in post-close M&A integration, new product launches, and late-stage B2B SaaS environments (Series E+ or early public companies).
What team does this role report into and what is its scope?
The Analytics Business Partner reports to the VP of Data & Analytics within Cribl's Business Operations organization. The role operates horizontally across the entire business — spanning GTM, Finance, Product, and Data/Analytics teams — rather than embedding in a single function.
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