Senior Data Analyst

Senior Data Analyst

Location Qualifications: Ghent (hybrid, 2x week in office)

Position Overview:

Ready to turn data into powerful stories that shape product strategy? Join us, as our next Senior Data Analyst at the heart of innovation in our Design & Analytics Team and help drive data-informed decision-making. If you’re a data-savvy problem solver who loves transforming complex information into clear, actionable insights—this is your moment.

As a Senior Data Analyst, you’ll play a pivotal role owning impactful projects, and working closely with senior peers to solve real business problems. This is your chance to shine as both a builder and a learner in a high-growth, collaborative environment.

Key Responsibilities:

As a Senior Data Analyst, you’ll own the analytics roadmap for a key product domain—guiding business impact from day one. This is more than dashboards: it’s about driving meaningful change through smart data models, dynamic reports, and sharp storytelling.

You will:

• Lead full-cycle analytics projects from scoping to insight delivery
• Design compelling dashboards and data visualisations using tools like QuickSight
• Act as the analytics go-to for product teams—aligning metrics to measurable outcomes
• Dive deep into user behavior, product usage, and performance with advanced analytical techniques (regression, clustering, etc.)
• Partner with cross-functional teams to influence strategy, design, and user experience
• Help build analytics-ready datasets in SQL & dbt that power our internal and external reporting

What We’re Looking For:

• 3+ years in a Data Analyst role, ideally in a fast-paced tech or SaaS environment
• Proven ability to translate business questions into data-driven answers
• Strong SQL skills (experience with dbt = big bonus)
• A knack for turning complex datasets into compelling stories
• Experience working with data visualisation tools (QuickSight, Looker, Tableau, etc.)
• Comfortable working with both structured & unstructured data

Plus Points:

• Bonus: Familiarity with AWS, in-product reporting, and ML techniques

Why This Role Rocks

• You’ll work at the intersection of data and product innovation, helping create the future of user-facing reporting.
• Autonomy meets impact—you’ll shape the way our teams think about and use data every single day.
• Join a collaborative, high-performing Analytics team that loves learning, building, and making data sing.

Company Highlights: 

Founded in 2011, Showpad is the world’s leading Enablement Operating System (eOS™). We align Sales and Marketing teams around impactful content and measurable engagement, enabling sellers to build unique buying experiences and continuously improve conversion rates. Sellers close more deals – faster – with Showpad.

With dual-headquarters in Ghent and Chicago, regional offices in London, Munich, Bucharest and Wroclaw, and remote hubs across the US and EMEA, Showpad is powered by a diverse global workforce of more than 400 people. Our employee value proposition centers around impact, purpose and belonging. Our culture is based on flexibility, trust and setting people up for success. At Showpad, we foster inclusion, innovate for impact and never stop to raise the bar. We take serious care of our people but never take ourselves too seriously.

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that’s paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you. 

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or other dimensions of identity.

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