National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Staff Data Analyst (d/f/m)

Personio
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Staff - Data Quality Analyst

Data Analyst

QR Data Analytics Lead - Quant Hedge Fund

QR Data Analytics Lead - Quant Hedge Fund

QR Data Analytics Lead - Quant Hedge Fund

Operational Data Analyst

The Role: How you'll make an impact at Personio

This position can be office-based, hybrid, or fully remote from one of the following countries: Germany, Spain, Ireland, the Netherlands, or the UK. 

Drive Strategic Decisions. Shape Our Future. The Data Department is on a mission to facilitate better decisions within the company. We build core data products and enable internal teams to create and share their own. Join our team and help us build the foundation of data at Personio.

As a Staff Data Analyst supporting the Finance, Legal, and Strategy (FLS) team at Personio, you play a pivotal role in transforming data into strategic insights, shaping our company’s financial strategy. In this role, you're not just analyzing numbers; you're driving critical business decisions and influencing long-term strategies. Your insights directly impact our financial health and strategic direction, making your contribution vital to our mission of sustainable growth and operational excellence.

Role Responsibilities: What you'll do

Strategic Business Partnership: Act as a primary data strategist for the organization, partnering with top executives. Regularly consult with the CFO and other executives, providing data-driven guidance on major strategic initiatives and long-term planning.Data Analysis: Analyze and interpret diverse datasets, focusing on financial performance, legal trends, and strategic initiatives to guide FLS in making informed, data-driven decisions.Dashboard Development:Create and strategize the evolution of real-time, interactive dashboards for stakeholders, ensuring they are user-friendly and aligned with the evolving needs of the business.Business Reviews and Insight Generation: Oversee the insight generation process for business reviews at a company-wide level, guiding analysts in different departments to highlight crucial insights and trends.Strategic Planning: Collaborate with leadership and peers in developing business strategies grounded in data insights, aimed at growth, operational optimization, and cost reduction.Stakeholder Management: Lead multiple projects simultaneously, managing expectations and collaborating with the data team for internal consistency, scalability, and reliability of data practices.Proactive Team Embedding: Act as a strategic data partner for multiple teams, guiding them in aligning their objectives with data insights. Lead initiatives to use data in solving complex business challenges.

Role Requirements: What you need to succeed

Education & Experience: A quantitative degree (e.g., Applied Math, Econ, Stats, Eng, CS) paired with a minimum of 7 years of data analytics experience, in a SaaS, Subscription, or B2B environment with a focus on Finance, Legal, and Strategy. Experience working with executive-level stakeholders (CFO, CEO, …).Deep understanding of SaaS-specific financial processes and financial systems like Salesforce, Chargebee, Adaptive.KPI and Dashboard Expertise: Strong understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals.Technical Proficiency:Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation.Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data analysis.Analytical Mindset: Intellectual curiosity to delve deep into data, identifying underlying trends, patterns, and actionable insights.Communication Skills: Ability to articulate complex data observations in simple terms, ensuring clarity and understanding among stakeholders. Master the art of storytelling with data, driving organizational change and strategy through powerful presentations and reports.Entrepreneurial Approach:A proactive problem-solver, focused on generating impactful results and identifying opportunities for improvement through data-driven 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.

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 (because we love what we do, but we also love vacation!) Make an impact on the environment and society with 2 (fully paid) Impact Days – one for an individual project of your choice and one for a company-wide initiative Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations Engage in a high-impact working environment with flat hierarchies and short decision-making processes

About us

Bring your best. Make your mark. We’re using technology to revolutionize the way HR operates so that we can transform the way millions of people experience work every day. We move fast, challenge the status quo, and support our people as they shape their careers.

With over 10,000 customers and a team of 2,000 in eight offices around the world, now is the perfect time to join! We believe in hiring driven people who want to make an impact. So bring your best, and let’s build the future of HR technology together.

Discover our Personio Principles, that guide our mindset, behaviours, and the ways we work together:

Exceed Customer Expectations:We anticipate, prioritize, and solve for the needs of our customers.
Deliver Exceptional Results:We dream big and move with urgency to make great things happen.
Elevate One Another: We work together as trusted partners to amplify our collective impact.
Care to Challenge:We care personally and challenge directly to unlock our full potential.
Ignite Positive Momentum:We embrace the challenge with a positive mindset and celebrate our wins together.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.