Business (insights) Data Analyst

Our reputation for Swiss engineering standards has made us a trusted choice for industry leaders like Lufthansa, UBS, Swiss Life, and millions of people worldwide.

Job Summary :

We are seeking a highly analytical and strategic Business Data Analyst to join our team. In this role, you will be responsible for analyzing large datasets, deriving actionable insights, and driving commercial initiatives to enhance business performance. You will collaborate with Product, Monetization, Marketing, Finance and Data teams to develop data-driven strategies that improve decision-making and foster business growth.

Key Responsibilities :

Collaborate with teams (Product, Monetization, Marketing, Finance) to understand data needs.

Build and maintain dashboards, reports, and visualizations to track key business metrics and performance.

Translate data into actionable business insights, presenting clear and compelling recommendations to stakeholders to guide strategy, decision-making, and commercial initiatives.

Drive the execution of commercial initiatives based on data insights, ensuring measurable impact on business outcomes.

Formulate and test data-driven hypotheses through experimentation, designing and analyzing A / B tests for pricing, product, and marketing to optimize revenue, profitability, and user engagement.

Continuously monitor and report on the ROI of implemented strategies, recommending iterative improvements.

Qualifications :

Bachelor’s degree in Business, Data Science, Statistics, Economics, or a related field. A Master’s degree is a plus.

Fluent English skills (oral and written)

2-5 years of experience in a data analytics role, preferably within a commercial or business-focused environment.

Proficiency in developing, optimizing and validating SQL queries.

Strong data visualization skills using tools like Looker, Tableau, or Power BI.

A keen understanding of business strategy and how data can influence decision-making.

Ability to work independently and collaboratively in a fast-paced environment.

Strong problem-solving skills with attention to detail.

The capacity to examine business requirements across various functional areas and translate them into KPIs, insights, data models and dashboards.

Effective communication and presentation skills to convey complex data findings and insights to both technical and non-technical stakeholders.

Nice to Have :

Experience building advanced data models and data models using Python, R or similar.

Experience with predictive analytics, machine learning, or advanced statistical methods.

Past experience working in a tech-driven company with direct-to-consumer (D2C) sales through a digital platform or website.

Why Smallpdf?

Here, every task and challenge is an opportunity to innovate and make a genuine impact. We're a driven team - pragmatic, goal-focused, and always eager to solve the next big problem. This isn’t a place for mere management or grand visions detached from reality; it’s a ground for hands-on champions ready to roll up their sleeves. If you're someone who's willing to dive deep into the action, someone who's more about the journey than just the title, Smallpdf is your destination.

Our benefits

You get to impact how over 60 million people get work done monthly.

Push boundaries and dare to fail—that’s how we learn!

30 vacation days—yep, you read that right— you can take them whenever you need them.

Need a long break? We offer sabbatical leave to employees who’ve been with us for over two years.

16 weeks parental leave—100% of your salary—for all new parents.

Don’t leave your four-legged friends at home; our offices are pet-friendly.

A personal development budget of up to 2,000 CHF every year, plus days off for courses or training.

Possibility of a Phantom stock option plan (PSOP). (Conditions apply.)

We offer 1-1 coaching sessions to individual contributors and employees in leadership positions through our external partner 'BetterUp'.

Hack days to challenge you and your team, plus build amazing things.