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Investment Trust

Senior Data Analytics Engineer

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Description

Overview

We are seeking an experienced professional to join our team in a pivotal role focused on data analytics within the investment sector. The successful candidate will play a critical role in transforming data into actionable insights, driving strategic decision-making.

Key Responsibilities

  • Design, develop, and maintain complex data models and pipelines to support analytics initiatives.
  • Collaborate with stakeholders to understand business needs and deliver data-driven solutions.
  • Utilise advanced analytical techniques to extract insights and trends from large datasets.
  • Ensure data integrity and quality throughout the data lifecycle.
  • Provide expertise in data visualization tools to create compelling reports and dashboards.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Proven experience in data engineering, analytics, or a similar role.
  • Strong proficiency in SQL and experience with data warehousing solutions.
  • Familiarity with programming languages such as Python or R for data analysis.
  • Excellent problem-solving skills and attention to detail.

Nice to have

  • Experience with cloud platforms such as AWS or Azure.
  • Knowledge of machine learning algorithms and predictive analytics.
  • Ability to work in a fast-paced, collaborative environment.

Skills

What Senior Data Analytics jobs ask for — and how much of it you have →
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See also

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