Senior Data Analyst I

About Our Company: 

Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We facilitate insights and critical decision-making for customers across the global research and health ecosystems. From Elsevier’s Technology function, the Research Products team collaborates across the business to drive impact. By applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions.  

About our team 

Within Research Products, the Product Analytics team turns data into insights and A/B testing opportunities that build better digital products. We thrive in a complex data environment, focusing on insights that drive actions and product improvements. We extract and interpret data using SQL, Python/R, Tableau/Adobe Analytics, and employ quantitative techniques like regression and statistical testing. 

How Product Analytics drives customer outcomes: 

• Define the right metrics. Use your deep knowledge of user behavior to define performance metrics with your stakeholders that align with user success and satisfaction. For new features apply your customer centricity and business knowledge to identify and define the key metrics to evaluate product success. Collaborate with business stakeholders to define product OKRs to ensure we are focusing our efforts effectively. 

• Measure performance. Set up dashboards and reports to track performance. Build models to understand product performance and user behavior - ultimately quantifying and communicating these insights through product metrics.  Review user experience to ensure that the appropriate tagging and tracking is in place to improve our products. Create product/user funnels to understand and represent user behaviour and engagement with our products. Uncovering opportunities for new features, and collaborating with the Product Manager to define, prototype (& evaluate experiment results) and scale features & solutions.  

• Identify and test opportunities for improvements. Grounded in deep analysis of our datasets, generate hypotheses and validate them through online experimentation and AB testing. Then deliver these together with product managers, designers and engineers.  

• Support strategic decisions and roadmaps. Innovate and discover new insights by diving deeply into the data, combining various sources (including database and web-analytics data sources) from across the business, to support decisions and resolve strategic questions. Planning and prioritization with Product Managers. Helping them to understand which features could be built, quantify the user and business impact, and communicate these recommendations to senior leadership.  

• Advocate Data-driven culture. Communicate insights and information effectively and engagingly, through presentations, reporting and dashboards to all levels of the organization. Advocate for a data-driven culture and help your stakeholders in how to interpret results. Empowering and enabling stakeholders across the business to make embrace the power of data and drive data informed decision making.   

About the role:  

• As a Senior Product Data Analyst, you will lead analytics projects within horizontal teams focused on Elsevier Identity and Knowledge Discovery.  

• Your expertise will drive insights and strategies that enhance our product offerings and user experiences. You will be part of a large analytics team located in London, Amsterdam, and India, working with product teams and other stakeholders across the US, UK, India, and the Netherlands. 

You bring:  

• Growth Mindset. The right mix of passion, humility, positivity and desire to grow.   

• Experience. Experience solving problems with data, collaborating with stakeholders as a data-driven thought partner. Preferred: Experience in product analytics, digital product optimization, A/B testing, and web-analytics. Demonstrable experience in data analysis and insight generation with business impact, incl. building predictive models. Ability to initiate and drive projects to completion with minimal guidance.  

• Technical skills. Proficiency with SQL and strong understanding of how to use data in solving problems. Preferred: Proficiency with Excel, Powerpoint, scripting (e.g., Python, R), the ability to analyze and combine large data sets in cloud data warehouse services such as Amazon Redshift (or other Postgres DB) and analytics platforms such as Databricks (Apache-Spark).  

• Communication & Stakeholder management. Strong communicator and fluent in English (speaking and writing). Ability to communicate the findings and recommendations of analysis in a clear and effective manner at all levels, incl. experience with visual reporting and dashboarding tools (e.g., Tableau). Ability to engage with multiple stakeholders across the wider business.  

• Preferred: Experience working cross culture and department, the ability to collaborate with stakeholders with different perspectives and priorities than yours.  

What we offer:  
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 

• Generous holiday allowance with the option to buy additional days 

• Health screening, eye care vouchers and private medical benefits 

• Wellbeing programs 

• Life assurance 

• Access to a competitive contributory pension scheme 

• Long service awards 

• Save As You Earn share option scheme 

• Travel Season ticket loan 

• Maternity, paternity and shared parental leave 

• Access to emergency care for both the elderly and children 

• RELXCARES days, giving you time to support the charities and causes that matter to you 

• Access to employee resource groups with dedicated time to volunteer 

• Access to extensive learning and development resources 

• Access to employee discounts via Perks at Work 

#LI-RV1 #LI-Hybrid