Senior Commercial Data Analyst (f/m/d)

At Moss, we give finance professionals the power to automate their day to day and make forward thinking decisions.

Our team and culture make us unique - we're driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted's Rising 100 and LinkedIn's Top Startups, we're here to help propel your career and together, make Moss a lasting success.

Reporting to our Head of Data & Insights, you will act as the crucial bridge between our Data, RevOps, and Finance teams. We need someone who can look at the numbers and tell us how to improve our customer acquisition, where our channels are succeeding, and how we should plan our headcount and finances.

You will be part of the central data team but work directly alongside our GTM leaders to help our B2B SaaS business grow. We are also heavily investing in AI to upgrade our data strategy. In this role, you won't just be maintaining traditional reporting; you will help us build a modern system that proactively delivers actionable insights to the people who need them.

• Drive GTM insights and recommendations: Analyse the commercial funnel and performance data to identify trends, inefficiencies, and opportunities across Moss' acquisition motions. Translate findings into actionable recommendations for senior stakeholders.
• Support optimisation of acquisition strategies: Evaluate how different go to market motions perform, including lead allocation, team workload, conversion performance, and capacity planning. Support decisions on how to optimise commercial coverage and resource allocation.
• Bridge operational and financial planning: Work closely with RevOps and FP&A stakeholders to connect operational metrics with planning needs, helping Moss better understand how GTM performance translates into financial outcomes and future investment decisions.
• Build and maintain reporting and dashboards: Create and improve clear, reliable reporting in BI tools and spreadsheets so stakeholders can monitor key business metrics and make decisions with confidence.
• Unlock our potential with AI: Create smart data tools to deliver data in a more interactive and efficient way to key stakeholders. AI is not just a way of improving our productivity, but also a more efficient distribution channel for insights. Help shape how the new BI is intended.
• Shape high quality datasets and definitions: Build and refine well structured datasets for recurring analysis and reporting, within established data quality standards and modelling practices.
• Partner with senior cross functional stakeholders: Collaborate closely with leaders across RevOps, GTM, Pricing, and Finance, acting as a trusted analytics partner who understands business context and communicates clearly with non technical audiences.
• Improve reporting standards and ways of working: Define and improve reporting processes, KPI definitions, and analytical standards so teams can rely on consistent, scalable insights.

We think you'll need the following experience and qualifications to succeed in the role:

• Proven experience in data analysis, business intelligence, revenue operations, or similar analytical roles within a growing B2B SaaS environment.
• Strong exposure to GTM, RevOps, commercial strategy, or business performance topics.
• Strong SQL skills are non negotiable - you are confident querying data independently and using SQL to answer business questions.
• Experience working with BI tools such as Metabase, Tableau, Looker, Looker Studio, or similar.
• Experience translating data into insights for senior business stakeholders.
• Ability to work comfortably with spreadsheets / Google Sheets as a communication and analysis tool.
• Familiarity with data modelling concepts and analytical datasets; experience with dbt is a plus, but not essential for this role.
• Familiarity with tools such as Salesforce is a plus.

In addition, here are the skills and attributes we are looking for:

• Strong business and commercial understanding: You understand how a B2B SaaS business grows and how go to market motions, planning, and operational decisions connect to business outcomes.
• Analytical and technically credible: You are highly confident with SQL and comfortable working in BI environments. You do not need to be the most deeply technical data modeller, but you are strong enough to work independently with data and earn stakeholder trust.
• Excellent stakeholder partner: You know how to work with senior stakeholders across different functions, balancing analytical rigour with pragmatism. You can navigate ambiguity, ask the right questions, and help teams make decisions.
• Clear communicator: You can explain analytical findings in a simple, compelling way and tailor your communication to technical and non technical audiences alike. You act as a bridge between data specialists and business teams.
• Impact oriented and pragmatic: You focus on solving the highest value problems, making trade offs when needed, and delivering insights that drive action rather than analysis for its own sake.
• Collaborative and embedded: You enjoy working closely with business teams and becoming deeply familiar with their goals, challenges, and operating model. You build trust through responsiveness, curiosity, and ownership.

Moss is a SaaS scale up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe.

Our ambition is bold: to power every SMB's spend across Europe - fully digital, AI driven, and seamlessly integrated for complete control. To date, over 5 000 businesses in Germany, Netherlands and the UK use Moss' leading spend management product, with modules such as corporate cards, accounts payables, employee cash reimbursements and procurement.

Moss has raised a total of €180 million in funding and is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A Star.

• Top of market compensation package, including equity.
• Vibrant offices at the heart of our culture, with in person time fueling collaboration and connection over weekly breakfasts and Friday demos.
• Additional benefits: 20 days "work from abroad", 600 EUR/GBP Learning & Development Budget, and other local benefits.