The Role: How you'll make an impact at PersonioThis position can be hybrid from one of the following office locations: Amsterdam London, Madrid, Barcelona, Munich, Dublin, or Berlin.
Bring your skills. Drive our decisions. Data 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 an early member of our PTech Analytics team, you'll be the driving force behind the data revolution within one of our critical product domains. Working as a trusted advisor to leaders from Product, Design & Engineering, you'll be responsible for leveraging data & insights to directly influence our product strategy & roadmap. You'll work embedded in our cross-functional product teams helping them to define, measure & maximize their impact with data, ultimately enabling them to build products our customers love.
Role Requirements: What you need to succeed5+ years experience in a data analytics role, with significant experience directly supporting product teams in B2B or B2C product led companies.Excellent SQL skills, experience using DBT for data modeling is a plus.Expert in creating compelling dashboards & visualizations in Looker, Tableau or similar BI tools.Expert in the fundamentals of product analytics including building metric trees, experimentation, user activity & retention analytics, funnels & customer segmentation.Experience working with event based tracking data for web or mobile and hands-on experience with a behavioral analytics tool e.g. Amplitude, Heap, MixPanel etc.Foundational understanding of statistical modeling with proficiency in Python/R (e.g. basic regression/ML models, common statistical tests)Ability to communicate findings in a succinct and clear manner to a wide variety of stakeholders so that they can draw conclusions quickly and make rapid decisions. Why PersonioPersonio 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 equityEnjoy 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 initiativeReceive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCaresFind your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working frameworkInvest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and moreConnect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrationsEngage in a high-impact working environment with flat hierarchies and short decision-making processes Role Responsibilities: What you'll doInfluence Decision-Making: Use a deep understanding of our product, users, and business to craft compelling data stories that guide product leaders in critical decisions.Generate Insights: Analyze large, complex datasets to generate insights that shape product strategy and size opportunities to guide prioritization.Define Success: Guide teams in defining success metrics and setting measurable goals (OKRs) that align with broader product and business objectives.Monitoring & Reporting: Create engaging dashboards and reports to track product success and monitor performance.Impact measurement: Work with teams to define hypotheses, develop testing plans and measure impact with statistical rigor.Data Modeling: Collaborate with engineers to build scalable data models that enable self-service analytics and democratize data access.Drive Data Literacy: Evangelize the use of data and empower teams to self-serve insights by increasing data literacy through enablement and close partnership.
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