Senior Business Analyst

Coda; Amsterdam; On-site; EUR 90,000 - 150,000; Full time

Job summary

Jobtailor is seeking a seasoned Analytics Lead to shape and execute strategic initiatives across EU operations, working directly with Directors and C‑level executives. You will translate data into clear, actionable insights and demonstrate their commercial impact through measurable outcomes.

Responsibilities include advanced analytics, experimentation, and a thoughtful mix of self-service dashboards (Tableau) and customized analytical solutions, with AI embedded in workflows to drive efficiency

Qualifications

• 7+ years of experience in analytics, data science, or a related field, ideally within e-commerce.
• 7+ years of hands-on experience with structured and unstructured datasets, including data extraction and querying using SQL, Hive, or similar tools.
• Strong statistical and experimentation expertise, including R², p-values, t-tests, geo-experimentation, lift studies, and related testing methodologies.
• Advanced knowledge of customer and marketing analytics, including statistical modelling techniques such as price elasticity and other commercial/customer models.
• Proficiency in Python and/or R, with experience leveraging AI tools and agents such as Cursor, Claude, or similar solutions.
• Bachelor’s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Business, Sociology, or a related quantitative discipline.

Responsibilities

• Shape and execute company strategy across payment flows, paid marketing, customer retention, and product strategy across the Group’s EU operations.
• Translate complex analytical and data topics into clear, actionable insights for senior audiences.
• Demonstrate the commercial impact of recommendations by linking analytics to measurable outcomes.
• Conduct advanced strategic analyses to identify opportunities and maximize commercial value.
• Determine the balance between self-service analytics (Tableau, AI interfaces) and tailored analytical solutions.
• Embed AI into the Data Analytics team’s workflows, structuring data at scale and automating repeatable analysis.

Skills

Analytics leadership

SQL data extraction

Statistical modelling

Python and/or R

AI integration

E-commerce analytics

Education

Bachelor in Statistics

Bachelor in Data Science

Bachelor in Economics

Bachelor in Mathematics

Bachelor in Computer Science

Bachelor in Engineering

Bachelor in Business

Bachelor in Sociology

Tools

Tableau

SQL

Hive

Python

R

AI Tools

Cursor

Claude

Job description

• Shape and execute company strategy across payment flows, paid marketing, customer retention, and product strategy across the Group’s EU operations, spanning Recharge and Startselect labels
• Partner with Directors and C-level executives, translating complex analytical and data topics into clear, actionable insights for senior audiences
• Demonstrate the commercial impact of recommendations and insights by connecting analytical findings to measurable business outcomes
• Conduct advanced strategic analyses to identify opportunities, strengthen offerings, and maximize commercial value
• Determine the right balance between scalable self-service analytics, including Tableau reporting and AI interfaces, and tailored analytical solutions
• Embed AI into the Data Analytics team’s ways of working, including transforming and structuring data at scale, accelerating commercial insights, and automating repeatable analysis

Requirements

• 7+ years of experience in analytics, data science, or a related field, ideally within e-commerce
• 7+ years of hands-on experience working with structured and unstructured datasets, including data extraction and querying using SQL, Hive, or similar tools
• Strong statistical and experimentation expertise, including R², p-values, t-tests, geo-experimentation, lift studies, and related testing methodologies
• Advanced knowledge of customer and marketing analytics, including statistical modelling techniques such as price elasticity and other commercial/customer models
• Proficiency in Python and/or R, with experience leveraging AI tools and agents such as Cursor, Claude, or similar solutions
• Bachelor’s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Business, Sociology, or a related quantitative discipline

Core Competencies

Demonstrates expertise in analytics and data science with a focus on e-commerce, leveraging advanced statistical methodologies and AI tools to drive strategic insights and measurable business outcomes. Proficient in data extraction, querying, and customer analytics to enhance marketing strategies and operational efficiency.

Highest-signal resume keywords

• 7+ Years Experience In Analytics
• SQL Data Extraction And Querying
• Statistical Modelling Techniques
• Proficiency In Python And R
• Customer And Marketing Analytics

ATS Optimization Keywords

Hard Skills

• Data Science
• Statistical Analysis
• Data Extraction
• Data Querying
• Statistical Modelling
• AI Integration
• Advanced Analytics
• Experimentation Expertise
• Customer Analytics
• E-commerce Analytics

Soft Skills

• Strategic Thinking
• Communication Skills
• Collaboration
• Analytical Insight

Certifications & Qualifications

• Bachelor’s Degree In Statistics
• Bachelor’s Degree In Data Science
• Bachelor’s Degree In Economics
• Bachelor’s Degree In Mathematics
• Bachelor’s Degree In Computer Science
• Bachelor’s Degree In Engineering
• Bachelor’s Degree In Business
• Bachelor’s Degree In Sociology

Industry Keywords

• E-commerce
• Data Analytics
• Customer Retention
• Paid Marketing
• Product Strategy
• Commercial Value
• Analytical Findings
• Business Outcomes

Tools & Technologies

• Tableau
• SQL
• Hive
• Python
• R
• AI Tools
• Cursor
• Claude