Data Analyst

4 дней назад

Киев, Киев, Украина Qubit Labs Полный рабочий день 90 000 $ - 120 000 $ в год

The Data Analyst will play a pivotal role in supporting platform's leadership with rapid, targeted analyses of scholarly information.

About the Role:

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.
Qualifications:
  • 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.
Stack:

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