Data Analyst - Revenue & AI (d/f/m)

Personio
Berlin
Fri, 03/20/2026 - 00:42

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

This role requires 2 days per week in the office and is based in Munich, Berlin, or Dublin.

We empower Personio's decision-making with advanced analytics and strategic insights, while boosting productivity through systems improvement and automation. Be part of our transformative journey in HR technology, where your contributions will shape our data-driven future.

The Data Analyst - Revenue & AI reports directly to the Senior Lead, Revenue Analytics, and sits within the Analytics department of Personio's broader Data team. This role sits at the intersection of traditional BI, prescriptive analytics, and AI automation. This is not just a dashboard-builder role — it is a role for someone who can combine deep business understanding with hands-on AI tooling to generate insights, automate analytical workflows, and directly influence GTM and revenue decisions.

You will work closely with Revenue Operations, Sales, Marketing, and Finance to turn data into decisions — faster, and at a greater scale than traditional BI allows. Critically, you will own direct relationships with Sales and Account Management leadership, bringing a clear commercial point of view and a genuine opinion on what levers can be pulled to drive revenue.

Role Responsibilities: What you'll do

  • Business Partnership: You own direct relationships with Sales and Account Management leadership, acting as a trusted analytical partner who regularly presents findings, leads business rhythm conversations, and proactively flags risks and opportunities with clear recommended actions.

  • GTM Analytics Ownership: You own end-to-end analytical coverage of GTM and revenue metrics including pipeline health, MRR/NRR movements, expansion signals, cross-sell coverage, and regional performance, partnering with RevOps and Finance to define the single source of truth.

  • AI-Powered Insights: You design and run LLM-powered analytical workflows (using Claude, GPT, or similar) for automated insight generation, narrative summaries, anomaly detection, and translating unstructured signals into structured analytical inputs.

  • Analytical Automation: You build automated reporting and alerting pipelines using tools like n8n, Zapier, or Make, replacing manual analytical tasks with intelligent, scheduled workflows that deliver insights at scale.

  • Self-Serve Analytics Tools: You develop AI-powered self-serve tools that enable stakeholders to query data in natural language, democratizing access to insights across the GTM organization.

  • Data Infrastructure: You build, maintain, and develop the reporting layer in Snowflake — including dbt models, data dictionaries, and metric definitions — that powers GTM and revenue reporting, managing version-controlled codebases (Git) independently.

Role Requirements: What you need to succeed

  • You have 3+ years of experience in data analytics, revenue analytics, or a similar role in a B2B SaaS or high-growth environment, with hands-on experience working with CRM data (Salesforce or HubSpot preferred) and RevOps datasets.

  • You are proficient in SQL and have strong experience with at least one BI tool (Tableau, Looker, or equivalent), with the ability to extract, transform, and analyze data independently.

  • You have hands-on experience with AI and LLM tools (such as Claude, GPT, or similar) and can design and implement AI-powered analytical workflows for automation, insight generation, and anomaly detection.

  • You possess strong business acumen and can form clear opinions on GTM performance, understand what drives revenue outcomes, and translate data into actionable recommendations for senior stakeholders.

  • You have excellent communication skills, able to distill complex analytical findings into clear, compelling narratives for non-technical audiences and confidently present to Sales and Account Management leadership.

  • You are comfortable with data infrastructure and automation, including experience with dbt, version control (Git), and ideally automation tools like n8n, Zapier, or Make to build scalable analytical pipelines.

  • You work autonomously and proactively, spotting risks and opportunities before being asked, and driving analytical projects from ambiguous business questions to clear, actionable insights.

Why Personio

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

At Personio, we value in-person collaboration while also offering flexibility. This role is office-based, with 3 days per week required in your contracted office location. The remaining days can be worked from home or in the office if you prefer. In addition, you’ll have 20 Flex Days per year to work remotely from other locations. Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity

  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years

  • Make an impact on the environment and society with 1 (fully paid) Impact Day

  • Receive generous family leave, child support, mental health support, and sabbatical opportunities

  • We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.

Veröffentlicht am 2026-03-28

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