Commercial Data Analyst
London
incident.io
incident.io is an all-in-one incident management platform unifying on-call scheduling, real-time incident response, and integrated status pages – helping teams resolve issues faster and reduce downtime.incident.io is the leading all-in-one platform for incident management. From small bugs to major outages, incident.io helps teams respond fast, reduce downtime, and improve every time something goes wrong.
Since launching in 2021, we’ve helped 800 companies—including Netflix, Airbnb and Block—resolve over 250,000 incidents. Every month, more than 30,000 responders across Engineering, Product and Support use incident.io to fix things faster.
We’re a small team that cares deeply about pragmatism, quality, magic, and pace. We've raised $100M from Index Ventures, Insight Partners and Point Nine, alongside many angel investors who are founders and executives of world-class companies.
The Team
At incident.io we collect a variety of data both internally (product usage) and externally (social media, Google Analytics, Stripe, Finance & Sales tools), and we’re really proud of the data stack we’ve built so far - which consists of Google BigQuery, Fivetran, dbt, and Omni.
Our Data team is doubling this year, and as our second Commercial Data Analyst you’ll be embedded directly within our high‑velocity Sales, Marketing, and Customer Success teams, enabling everything from weekly business reviews to one‑off, high‑impact analyses (such as identifying upsell opportunities, or measuring the ROI of our annual SEV0 event).
Because we’re still early in our growth, this role bridges Analytics Engineering and Data Analytics - with more emphasis on the latter. You’ll have huge scope to define projects, dig into the full breadth of our data, and see your recommendations drive real business outcomes. You can read Navo’s recent blog post for more insights into what a Commercial Data Analyst does!
What you’ll be doing:
Partnering closely with Sales, Marketing, and Customer Success leaders, translating their goals (pipeline, retention, expansion) into data‑driven strategies and KPIs.
Building and maintaining data models in BigQuery & dbt, powering reusable and reliable commercial metrics.
Building core commercial reports in Omni that enable a wide variety of use cases from weekly reporting through to identifying new business & upsell opportunities.
Running ad-hoc analyses, supporting commercial initiatives like modelling new pricing plans, or helping set top of funnel targets (e.g. meetings booked).
Advocating data best practices across the commercial organisation, ensuring clarity, consistency and trust in reported metrics.
This role could be ideal for you if you:
Have a strong foundation in data analytics / science / analytics engineering practices, and are comfortable wearing both “analyst” and “engineer” hats in a fast‑paced environment.
Are very comfortable using dbt (SQLMesh is also highly relevant), including building and maintaining data pipelines and setting up robust tests.
Are strong at partnering with senior stakeholders, helping them understand what metrics to track, why, and then translating that into the “how”.
Are a self-starter, and spot high‑leverage opportunities and can drive them end‑to‑end, and can balance quick wins with long‑term projects.
Thrive in a fast-paced environment and enjoy shaping processes as part of a small, growing team.
What we offer:
We’re building a place where great people can do their best work—and that means looking after you and your family with benefits that support health and personal growth.
Market leading private medical insurance
Generous parental leave
First Friday of the month off
Generous annual leave/PTO allowance
Competitive salary and equity
Remote working and personal development budget
Enhanced pension/401k
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Data Analytics Data pipelines dbt Engineering Finance FiveTran KPIs Pipelines
Perks/benefits: Career development Competitive pay Equity / stock options Health care Medical leave Parental leave
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