Data Analyst (m/f/d) - Revenue Intelligence

Autodoc Group; Lisboa; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Competitive salaries

25 vacation days + birthday day

Meal allowance

Healthcare plan

Mental wellbeing program

Learning & Development access

Job summary

AUTODOC is seeking a Data Analyst (m/f/d) for the Revenue Intelligence team to translate data into strategic business actions across 27 European markets.

You will dissect revenue dynamics, build predictive models with SQL and Python, and develop automated anomaly detection systems while communicating insights to leadership. A self-starting, autonomous mindset and strong storytelling are essential for this fast-growing scale-up.

Qualifications

• 5–7 years of experience in economic analysis or FP&A.
• Experience in e-commerce, retail or tech preferred.
• Strong SQL and Python skills required.
• Excellent communication and storytelling abilities.
• Fluent in English.

Responsibilities

• Monitor revenue and profit trends across ecommerce dimensions.
• Build automated detection systems for performance anomalies.
• Conduct root-cause analyses using causal inference.
• Quantify factor contributions to revenue shifts.
• Present insights to senior leadership.
• Leverage modern analytics tools for automation.

Skills

SQL

Python

Statistics

Time series

Data storytelling

Communication

English fluency

Education

Economics degree

Data Science degree

Quantitative field

Tools

pandas

NumPy

Job description

Company Description

Engineered in Berlin. Driving the Future of Europe.

At AUTODOC, we are proud to be a homegrown European success story. Founded in Berlin in 2008 and still headquartered in the heart of the continent today, we have evolved from a local specialist into Europe’s leading online platform for the automotive aftermarket. Our strength lies in our unique identity: we are a digital-first, e-commerce powerhouse with strong German roots and an expansive reach across 27 European countries. This continental focus allows us to blend our heritage with high-tech innovation, staying agile and closely connected to the markets we serve.

Today, our team of more than 5,500 professionals from over 50 different countries is redefining mobility through cutting-edge technology. Bring your talent and expertise to a company that is building a sustainable, tech-driven future for drivers everywhere.

Come join us and impact the future of AUTODOC!

Job Description

About the Role

As our business scales across 27 European markets, understanding the mechanics behind our financial performance and identifying new revenue streams is vital. We need an experienced analytical professional who can translate complex datasets into actionable business strategies and take ownership of high-impact initiatives.

To achieve this goal, we are hiring a Data Analyst (m/f/d) to join our Revenue Intelligence team. In this role, you will act as a key strategic partner to our leadership, working closely with our Head of Revenue Intelligence and Chief Revenue Officer, while collaborating cross-functionally with Marketing, Customer Management and other teams.

You will focus on dissecting revenue dynamics, building predictive models and developing automated anomaly detection systems to safeguard and boost performance. You will leverage SQL and Python to run causal inference analyses, evaluate pricing initiatives and uncover performance drivers across our e-commerce ecosystem. Beyond technical execution, a key part of your mission will be data storytelling—translating advanced statistical concepts into clear, compelling insights for non-technical stakeholders.

This is an exciting opportunity for a self-starter who thrives on autonomy, proactive problem-solving and high visibility. You will have the direct space to pitch independent ideas, shape analytical frameworks and immediately influence commercial outcomes in a fast-paced scale-up environment.

What You Will Do

Monitor revenue and profit trends continuously across diverse e-commerce dimensions.

Build automated detection systems and frameworks to identify performance anomalies, early warning signals and degradation drivers.

Conduct deep root-cause analyses and apply causal inference methods to distinguish correlation from causation in business performance changes.

Quantify factor contributions to revenue shifts and evaluate commercial initiatives like pricing strategies or category launches.

Communicate analytical findings effectively to cross-functional partners and present actionable insights to senior leadership.

Utilize advanced tools, data processing models and modern analytics technologies to enhance team productivity and workflow automation.

Qualifications

Proven experience (5-7 years) in economic analysis, revenue management, or financial planning and analysis (FP&A), ideally within e-commerce, retail or tech.

Academic background in Economics, Data Science or a related quantitative field.

Strong technical proficiency in SQL for advanced data extraction and transformation.

Fluency in Python for data analysis, statistical modeling and analytical processing (e.g., pandas, numpy, etc.).

Solid understanding of statistics, econometrics, time series forecasting, regression and segmentation.

Excellent communication and data storytelling skills, with the ability to bridge complex technical concepts for non-technical stakeholders.

Proactive mindset with a collaborative approach and strong problem-solving drive.

Professional fluency in English.

Additional Information

• Competitive salaries based on your professional experience
• Fast growing international company with stable employment
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Day off on Municipality day and Carnaval
• Meal Allowance (8 euros per working day)
• Fidelidade Healthcare Plan (Comprehensive health coverage with the option to include your partner and children at discounted rates).
• Mental Wellbeing Program through the OpenUp platform
• AUTODOC corporate discount for purchasing car parts at special rates for personal use
• Learning & Development (over 650 courses on soft and hard skills on our e-learning platform)

This job was posted on 31/08/2026 and is considering applications up to 6 weeks from this date.