About Ceros
At Ceros, we believe that creating powerful digital experiences is essential for helping organizations tell their stories and differentiate their brands. In a world where buyers are inundated with endless digital noise, it’s critical for brands to deliver experiences that inspire, educate, and make a lasting impact on the audiences that matter most.
Our no-code content creation platform empowers businesses to transform the buying journey with rich, interactive experiences that capture the attention of buyers and drive enduring business outcomes. The platform makes it faster, easier, and more cost-effective to create premium digital experiences, allowing businesses to scale it across their go-to-market programs.
Today, Ceros powers some of the most engaging experiences on the web. In 2023 alone, interactive content created with Ceros — from websites to landing pages and pitch decks to case studies— was viewed more than half a billion times, with over 3 million comments added using MarkUp, our visual collaboration tool.
Working at Ceros means making an impact at scale. Our platform supports leading brands including Workday, Colliers, Getty, McKesson, and McKinsey. Ceros is backed by top-tier investors, including Sumeru Equity Partners, Grotech Ventures, and Greycroft.
The Role
We are seeking a Principal Analytics Engineer to drive insight generation, data strategy, and tangible business outcomes across the organization.
This is not a role for an ETL pipeline builder or a manager of data engineers. Instead, we’re looking for a business-driven problem solver who deeply understands how to frame business questions, identify the right data needed, and deliver actionable insights that inform strategic decisions — for example, "Based on the customer churn data, we should double down on onboarding improvements" or "This product usage pattern suggests new upsell opportunities."
You will work closely with Product, Sales, Revenue Operations, and Customer Success leaders to translate business problems into data strategies, define critical metrics, and surface insights that lead directly to action.
You'll partner with our Senior Data Engineer and Operations Engineering team to ensure the necessary data is available, but your focus is on analysis, modeling, insight delivery, and business impact.
This role blends 60% strategic insight leadership with 40% hands-on modeling and analysis.
Key Responsibilities
Data Strategy & Business Problem Solving
- Collaborate with cross-functional teams to define key business questions and the data required to answer them.
- Structure and model datasets to enable analysis tied directly to business decisions and outcomes.
- Lead insight-generation efforts, turning raw data into clear recommendations for action.
Customer and Product Analytics
- Leverage AI/NLP techniques to extract insights from sales calls, support chats, emails, and feedback channels.
- Identify patterns in customer behavior, product usage, and support trends to inform product and customer success strategies.
- Develop dashboards and reports that move beyond "what happened" to "what we should do."
Sales & Revenue Operations Insights
- Analyze sales and pipeline data to identify conversion trends, churn risk, and revenue growth opportunities.
- Partner with RevOps and Sales leadership to optimize forecasting, segmentation, and sales strategies based on data-driven findings.
Experimentation & Data-Driven Decision Making
- Support A/B testing, growth experiments, and user behavior studies.
- Build models that assess the effectiveness of initiatives and recommend next steps based on data.
Enablement & Evangelism
- Develop self-service data tools and training to empower teams to access and interpret insights independently.
- Lead workshops and office hours to promote a culture of business-focused data literacy across teams.
Practical stuff we anticipate you having
Must-Have:
- 5+ years of experience in analytics engineering, product analytics, or strategic data roles in SaaS or tech companies.
- Proven ability to translate business needs into data models, dashboards, and actionable recommendations.
- Expert SQL skills and experience modeling data for BI tools (Metabase, Looker, Mixpanel).
- Strong stakeholder management skills; ability to frame technical work in business terms.
- Highly organized with the ability to prioritize multiple initiatives tied to strategic goals.
Nice-to-Have:
- Background in Revenue Operations, Product Analytics, or Growth Analytics.
- Experience integrating and analyzing data from HubSpot, Mixpanel, and customer engagement platforms.
- Hands-on experience with AI-driven analytics and NLP-based insight extraction.
- Familiarity with Python for data automation or lightweight modeling tasks.
Why Join Us?
- Strategic Leadership & Impact – Your insights will directly influence product decisions, customer strategy, and revenue growth.
- Own the Business Data Narrative – Help us move from raw data to decision-making frameworks.
- Work with a Modern Data Stack – Redshift, Metabase, Mixpanel, Census, and AI-driven tooling.
- Be a Multiplier – Empower the entire organization to become smarter and more data-driven.
- High Visibility – Report into the VP, AI Operations, with cross-team influence across Product, Sales, and Customer Success.
Key Things to Know
- We want you to start ASAP
- This is a remote-first role
- This is a remote-first role, working hours aligned with UK/European time zones
Benefits
- Global remote-first organization
- Private medical insurance*
- Pension scheme matching*
- Stock options
- Paid parental leave: 12 weeks for primary caregivers, 4 weeks for secondary caregivers
- Flexible time off
- Paid Sick days
- Stipend for your home office setup
- Excellent gear (Macbook Pro, external monitor, etc.)
- Stipend towards experiences in which Cerosians can collaborate, educate, and create social connections with one another
- Unlimited access to co-working spaces around the globe
