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Graduate Data Analyst

2 months ago

London Area, United Kingdom Impact Team Full time

Graduate Data Analyst

London Based – 3 days a week in office


The Impact Team, a global leader in innovative technology solutions, is seeking a bright and enthusiastic Graduate Data Analyst to join our growing team. This role offers an excellent opportunity to kickstart your career in data analytics while contributing to impactful digital transformations for our global clients.


Role Overview

As a Graduate Data Analyst at The Impact Team, you will work alongside experienced professionals to analyse complex datasets, derive meaningful insights, and support data-driven decision-making processes. You'll be involved in projects spanning various industries, with a focus on financial services and digital transformation initiatives.


Key Responsibilities

  • Collect, process, and analyse large datasets using advanced analytical tools and techniques
  • Develop and maintain dashboards and reports to visualize key performance indicators
  • Assist in the implementation of data-driven solutions for our clients' business challenges
  • Collaborate with cross-functional teams, including DevOps and cybersecurity specialists
  • Support the integration of data analytics into our automated threat modelling processes
  • Contribute to client presentations and reports, translating complex data into actionable insights
  • Stay updated on the latest trends and technologies in data analytics and machine learning



Required Qualifications

  • Bachelor's degree in STEM, Data Science, Statistics, Computer Science, or a related field
  • Strong analytical and problem-solving skills
  • Proficiency in data analysis tools such as Python, R, or SQL
  • Familiarity with data visualization tools (e.g., Tableau, Power BI)
  • Excellent communication skills, both written and verbal
  • Ability to work effectively in a team environment
  • Enthusiasm for learning and adapting to new technologies



Desired Skills

  • Knowledge of machine learning algorithms and their applications
  • Experience with big data technologies (e.g., Hadoop, Spark)
  • Understanding of financial services industry trends and challenges
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Interest in cybersecurity and its intersection with data analytics