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About the role
The Data Analyst will play a pivotal role in supporting the 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
* At least 2 years of 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.
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