Senior Data Analyst - Sales (d/f/m)

Full Time
Berlin, Germany
1 month ago
The Role: How you'll make an impact at Personio

This position can be hybrid from one of the following office locations: 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.

Join our GTM Analytics Team as a Senior Data Analyst, where you'll be a pivotal force in guiding our Sales team with your expertise in sales analytics. Your role is integral to shaping sales strategies aligned with marketing initiatives and our broader business goals. By harnessing data, you will enhance sales effectiveness and foster a collaborative culture across departments.

Role Responsibilities: What you'll do

  • Strategic Sales Planning: Develop and implement comprehensive sales strategies that are data-driven and aligned with marketing objectives and broader company goals.
  • Performance Analysis and Forecasting: Evaluate sales tactics and forecast trends, providing the Sales team with insights to optimize ROI and drive business decisions.
  • Customer Journey and Pricing Strategy: Collaborate on customer journey mapping and pricing strategy, focusing on customer acquisition, retention, and alignment with GTM strategy.
  • Leadership and Cross-Functional Collaboration: Lead and mentor junior analysts, ensuring seamless collaboration with Marketing and Customer Experience teams for a cohesive GTM strategy.
  • Insightful Reporting and Dashboard Creation: Generate and present sales reports, and develop dashboards to monitor key metrics, aligning with marketing dashboards for comprehensive business performance insights

Role Requirements: What you need to succeed

  • Experience: At least 5 years in sales analytics, with leadership experience and B2B SaaS sector knowledge.
  • Technical Skills: Proficiency in SQL, Tableau, and CRM platforms like Salesforce or HubSpot.
  • Analytical Ability: Strong analytical skills for generating actionable insights through advanced statistical techniques.
  • Communication: Excellent skills in conveying complex data insights in an understandable manner.
  • Cross-functional Experience: Proven experience in roles that require collaboration across Sales, Marketing, and other teams.

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