Senior Data Analyst I

Elsevier
Amsterdam, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Amsterdam, Netherlands

Tech stack

Adobe Analytics
A/B testing
Artificial Intelligence
Data analysis
Python
SQL Databases
Tableau
Transaction Data
Web Analytics
Usage Analysis
Microsoft Power Automate
Snowflake
Drilldown
GPT
Databricks

Job description

The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact.

About The Role

In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products, such as ScienceDirect.

You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands.

Responsibilities

Understand User Behaviour

Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight.

Define Product Success

Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics.

Evaluate Product Changes

Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes.

Use AI-Assisted Practices

Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful.

Communicate Insight Clearly

Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions.

Improve Measurement Quality

Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable.

Requirements

Product Analytics Experience

A minimum of 4 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you.

Technical Proficiency

  • SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
  • Web Analytics - Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
  • AI Tools - Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
  • Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful.

Stakeholder Influence

Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes.

Communication And Collaboration

Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones.

Growth Mindset

Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity.

Benefits & conditions

Wellbeing and happiness are key to a long and successful career, and we promote a healthy work/life balance across the organisation.

With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

We support flexible working hours, allowing you to fit everything in and work when you are most productive.

Working for you

As this role is global, benefits may vary according to your location. These are some of the benefits we are delighted to offer:

· Health care plans and benefits

· Modern Family Benefits, including maternity, paternity, adoption and surrogacy

· Life assurance and accident policies

· Comprehensive pension and retirement plans

· Access to learning and development resources

· Your recruiter will advise you on the benefits package for your location

About the company

Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions.

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