Senior Data Analyst Growth Expansion

Docplanner; Barcelona; A distancia; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Senior Expansion Analyst, where your analytical skills will drive revenue growth. You'll analyze data to uncover business opportunities and execute strategies that maximize monetization from existing customers. This role offers a unique chance to work at the intersection of data and strategy in a dynamic environment. Collaborate closely with senior stakeholders and local expansion teams to deliver actionable insights and recommendations. If you're passionate about data-driven decision-making and thrive in a scaleup environment, this opportunity is perfect for you.

Servicios

Share options after six months

Gym membership

Health insurance

Mental health programs

Formación

• 3-6 years of experience in data analytics and business analysis.
• Fluency in English; additional languages are a plus.
• Strong background in quantitative fields.

Responsabilidades

• Lead data analytics to increase MRR from current customers.
• Support strategic projects for cross-sell and upsell initiatives.
• Design and run experiments to optimize pricing and packaging.

Conocimientos

Data Analytics

SQL

Business Analysis

Forecasting

Data Management

Data Mining

Communication Skills

Educación

Degree in Business

Degree in Data Science

Degree in Statistics

Herramientas

Tableau

Power BI

Python

Descripción del empleo

Join us in this key role driving revenue expansion by analyzing data, uncovering business opportunities, and executing strategies to maximize monetization from our existing customers!

What makes this role exciting

We are seeking a data-driven and results-oriented Senior Expansion Analyst to join our Global Expansion team. Reporting directly to the Global Head of Expansion, who leads growth initiatives across our footprint, you will play a pivotal role in building and executing the expansion strategy for Docplanner. Your responsibilities will include analyzing data to uncover opportunities in cross-selling, upselling, product portfolio enhancement, package design, pricing optimization, and other levers to unlock value from our existing customer base. This is a unique opportunity to work at the intersection of data and strategy, driving insights through analysis to then align and execute in a scaleup environment.

In this role, you will contribute by...

1. Independently leading data analytics and modeling with a focus on increasing MRR from the current customer base:

• Data queries and solid understanding of data management topics (SQL, BI tools)
• Business/financial modeling (business analysis, forecasting, budget simulations)
• Machine learning applications (prediction models, clustering, decision trees, etc.)

Supporting the execution of strategic projects to drive cross-sell, upsell, pricing, and packaging initiatives across our footprint, working closely with local expansion teams:

• Liaising with in-market stakeholders to present insights and develop actionable recommendations (e.g., optimizing processes, fixing pricing, proposing product modifications, modifying package design)
• Overall project management for selected initiatives in the expansion portfolio (defining scope, planning, monitoring, resolving issues)
• Designing, running, and scaling experiments in cross-sell, upsell, pricing, and packaging from one market into global projects

Supporting the design and ongoing optimization of the global expansion organization within the Customer function through:

• Productivity improvements (automation, operations, effort optimization, capacity utilization)
• Sharing best practices (cross-market sharing, external benchmarks)
• Generating insights through data analysis, research, and experimentation

How do we define success in this position:

• Delivering data analyses within scope and timeline, with attention to detail, considering stakeholder inputs and business context
• Successful execution of projects based on insights, focused on MRR growth

You will work closely with and report directly to Maciej, our Global Head of Expansion, within a broader Customer organization led by our CCO, Konrad. You will also have high exposure to senior stakeholders across the organization, including country CEOs and global leadership.

This role is remote-first, with the flexibility to work from any of our global offices (e.g., Warsaw, Barcelona, Mexico City, Curitiba, Rome).

Qualifications: What makes you a great fit

• You have 3-6 years of professional experience
• You are fluent in English (additional languages like Spanish, Portuguese, Polish, etc., are a plus!)
• Educational background in Business, Data Science, Statistics, Math, Physics, Finance, or other quantitative fields with strong business fundamentals
• Technical expertise in working with large datasets:
• Knowledge of Tableau, Power BI, or other BI tools; ability to create/edit dashboards
• Proficiency in SQL and experience with databases
• Desirable but not mandatory: knowledge of data science (Python, modeling, algorithms like clustering, regression, decision trees, gradient boosting)
• Experience in SaaS or marketplace business models, startup/scaleup environments, or a passion for technology or healthcare
• Experience in business analysis and modeling (financial models, forecasting, performance measurement)
• Ability to communicate insights effectively and lead stakeholder workshops
• Proven experience in designing and deploying advanced analytics (data prep, feature engineering, model validation, productization)
• Experience working with multicultural teams and navigating complex organizations
• Collaboration experience with go-to-market, operations, data engineering, and product teams

Additional Information

The process:

• Intro call with Ainhoa, our Global Talent Partner, followed by feedback
• Interview with Maciej, our Global Head of Expansion
• Business exercise (data problem-solving), followed by a presentation to Maciej & Konrad
• Optional interview with another senior leader
• References & offer stage

Benefits include share options after six months, gym membership, health insurance, and mental health programs. We promote equal opportunities and encourage applicants to request support if needed.

Remote work: Employment Type:

Key Skills

Databases, Data Analytics, SQL, Power BI, Tableau, Data Management, Data Mining, Data Analysis Skills, Analytics