The Data Analyst will play a pivotal role in supporting platform’s leadership with rapid, targeted analyses of scholarly information. Working closely with the Head of the company and the wider team, the analyst will provide evidence-based insights to guide strategic decisions, identify opportunities, and monitor the quality and comprehensiveness of the company`s services.
The role requires a strong ability to process and interpret large volumes of data quickly, to produce clear analyses, charts, and reports, and to answer specific business and research-related questions as they arise. Importantly, the outputs of these analyses will often need to go beyond descriptive summaries and provide actionable insights that directly inform decision-making at the highest level.
Key Responsibilities * Deliver rapid, targeted data analyses supporting company leadership. * Evaluate company’s data comprehensiveness, freshness, and coverage across disciplines and repositories. * Benchmark company’s datasets and services, assess and monitor their quality * Conduct analysis to support leadership in understanding other available scholarly datasets, how they can be used to improve company services and how they differ from it quantitatively. . * Analyse customer datasets and usage patterns to inform service development and improvement. * Identify and investigate data quality issues, inconsistencies, and gaps. * Produce analyses that provide clear, actionable insights to support company’s strategic direction. * Present findings in clear and concise formats (tables, graphs, reports) tailored to decision-making needs. * Work with structured and unstructured data from multiple sources (APIs, repositories, internal databases). * Proactively spot trends, anomalies, or risks in data and escalate findings with recommendations. * Contribute analytical evidence to strategic reports, presentations, and stakeholder communications.
Skills and experience * Ideally a PhD degree in Computer Science, Data Science, or a related field (if masters degree than at least 3 years equivalent experience in a data analytical position) * Proficiency in programming languages such as Python * Experience with data engineering tools and frameworks (e.g., desirable Apache Spark, Hadoop). * Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Strong understanding of databases (SQL and NoSQL) and data structures. * Ability to work collaboratively in a multidisciplinary team environment. * Personal abilities and qualities: * Attention to detail. * Ability to take on responsibility and blend in a team. * Ability to quickly demonstrate understanding of the project aims and specific tasks as requested. * Willingness to follow an agile development process according to Scrum. * Ability to clearly communicate in English and be a good communicator. * Team player. * Hard worker.
