Senior Data Analyst

Harnham; Amsterdam; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Harnham in Amsterdam seeks a Senior Data Analyst to deliver actionable customer insights that drive acquisition, engagement and growth. You will analyse large datasets with SQL and Python and present clear, evidence-based recommendations to senior stakeholders.

Working across Product, Marketing and Sales, you will explore new data sources, apply AI-enabled techniques and translate analytics into measurable business outcomes. Hybrid office collaboration in Amsterdam.

Qualifications

• Strong commercial experience within analytics, strategy, consulting, or a related data-focused environment.
• Advanced SQL and Python skills with the ability to independently conduct end-to-end analysis.
• Experience with customer, behavioural, or growth-focused datasets.
• Quantitative background in a highly analytical discipline.
• Ability to connect outputs to commercial objectives and business value.

Responsibilities

• Identify high-impact analytical opportunities and develop hypotheses for strategic business questions.
• Analyse large datasets using SQL and Python to uncover customer behaviour patterns and commercial opportunities.
• Translate analytical findings into clear, compelling recommendations for senior stakeholders.
• Partner with teams across Product, Marketing, Sales, Strategy, and Analytics to drive data-led decision-making.
• Explore new data sources and analytical techniques to enhance insights.
• Support AI-driven solutions to improve team effectiveness.
• Influence business strategy through evidence-based recommendations and measurable outcomes.

Skills

Commercial analytics

End-to-end analysis

Stakeholder communication

Cross-functional collaboration

AI technologies interest

Education

Quantitative degree (Statistics/ Maths / Econometrics / Data Science)

Tools

SQL

Python

Job description

This is an excellent opportunity for a commercially minded Senior Data Analyst to join a global, data-driven business on a contingent worker basis. Working within a high-impact customer intelligence function, you will use advanced analytics to shape strategic decision-making, influence customer growth initiatives, and deliver insights that have a direct commercial impact.

The Company

They are a well-established international technology-led organisation with a large consumer customer base and a strong culture of innovation. Data sits at the heart of their decision-making, helping teams identify opportunities, optimise performance, and enhance customer experiences. Operating across multiple markets, they offer a collaborative and fast-paced environment where analytics plays a critical role in business growth. You will join a talented global team focused on turning customer data into meaningful strategic outcomes.

The Role

As a Senior Data Analyst, you will be responsible for delivering actionable customer insights that drive acquisition, engagement, retention, and long-term business growth.

Key responsibilities include:

• Identifying high-impact analytical opportunities and developing hypotheses to address strategic business questions
• Analysing large datasets using SQL and Python to uncover customer behaviour patterns and commercial opportunities
• Translating complex analytical findings into clear, compelling recommendations for senior stakeholders
• Partnering with teams across Product, Marketing, Sales, Strategy, and Analytics to drive data-led decision-making
• Exploring new data sources and analytical techniques to enhance insight generation
• Supporting the adoption of AI-driven solutions and innovative analytical approaches to improve team effectiveness
• Influencing business strategy through evidence-based recommendations and measurable outcomes

Your Skills & Experience

• Strong commercial experience within analytics, strategy, consulting, or a related data-focused environment
• Advanced SQL and Python skills with the ability to independently conduct end-to-end analysis
• Experience working with customer, behavioural, or growth-focused datasets
• Strong quantitative background with education in a highly analytical discipline such as Statistics, Mathematics, Econometrics, Data Science, or similar
• Ability to connect analytical outputs to commercial objectives and business value
• Experience communicating complex insights to both technical and non-technical stakeholders
• Comfortable managing projects independently while collaborating effectively across multiple teams
• Interest in emerging AI technologies and their application within analytics and business decision-making

What They Offer

• Hybrid working model based in Amsterdam with regular collaboration in the office
• Opportunity to work on highly visible, business-critical projects
• Exposure to international stakeholders and cross-functional teams
• Access to modern analytics tools, technologies, and large-scale customer datasets
• A collaborative environment that supports learning, innovation, and professional development
• The chance to directly influence commercial strategy through data-driven insights