11 часов назад
Technical Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Data Analyst (Investment Data): Maintaining and transforming investment data by building data systems and pipelines, analyzing complex datasets, and presenting insights through data visualization with an accent on data integration, quality, and reliability. Focus on developing analytical tools, combining information from multiple sources, and collaborating with system architects, product development, clients, and project management teams.
Location: Office - Edinburgh, United Kingdom
Company
develops software for managing and analyzing investment data for clients.
What you will do
- Analyze, organize, and transform raw investment data into actionable insights and reports.
- Build and maintain robust data systems and pipelines for reliable data flow.
- Combine data from multiple sources and improve data quality, consistency, and reliability.
- Develop analytical tools and programs that support data-driven decision-making.
- Present findings through data visualization and collaborate with clients, project management, system architecture, and product development teams.
Requirements
- Bachelor’s degree in data analytics, statistics, accounting, computer science, or a related discipline.
- 4+ years of experience in data analytics, reporting, and visualization.
- Hands-on experience with SQL and NoSQL databases, data integration, exchange, transfer, and load processes.
- Knowledge of database design, data warehouses, data manipulation, data cleansing, data governance, and data management best practices.
- Familiarity with cloud platforms and big data technologies such as AWS, GCP, or Azure, plus programming experience in Java, Python, or VBA.
- Strong problem-solving, communication, documentation, organizational, interpersonal, and collaboration skills.
Nice to have
- Strong understanding of investment data.
- Familiarity with dbt or Prophecy.
Culture & Benefits
- Full-time position based in an office environment.
- Cross-functional collaboration with clients and product and technology teams.
- Continuous improvement focus for individual and team practices.
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