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Data & Analytics Analyst

NatWest Group
London, GBR
Full-time
Onsite
Discovered Today
SQLSnowflakeAWSData management principlesData architectureData visualization

Full Job Posting

Role overview

Join NatWest Digital X as a Data & Analytics Analyst, developing advanced analytics solutions for business challenges and communicating insights to stakeholders.

The role is based in the United Kingdom, and all normal working days must be carried out there.

Analytics and stakeholder work

  • Consult stakeholders to understand their needs and identify suitable data and analytics solutions.
  • Use advanced analytics to develop business solutions that improve understanding of customers, processes, channels, and products.
  • Define business questions, problems, and opportunities that can be addressed through advanced analytics.
  • Design new and existing processes to be efficient, simple, and automated where possible.
  • Deliver analytics expertise and solutions that create commercial and customer value; explain opportunities and approaches in accessible terms.
  • Use new tools, technologies, and methodologies for analytics and share clear updates linking analytics, data science, and data engineering work to business needs.

Team delivery

  • Work in Agile multidisciplinary data and analytics teams, coordinating resources across teams and the business to achieve project and scrum outcomes.
  • Bring advanced analytics to life through visualizations that help stakeholders understand findings and make informed decisions.

Skills and experience

  • Experience with SQL; experience using Snowflake and AWS is ideal.
  • Knowledge of data management principles and data architecture.
  • Experience creating impactful visualizations and insights using tools such as QuickSight, Tableau, or Power BI.
  • Critical thinking and problem-solving skills to develop data-led recommendations and solutions.
  • Ability to translate complex analytics into clear messages for a range of stakeholders.
  • Understanding of data engineering, data science, and decisioning, with experience using GitLab or GitHub.
  • Python and orchestration tools such as Apache Airflow are advantageous.

Work arrangement

  • Mostly remote: work primarily from home and attend an office or hub at least twice a month for collaboration.
  • All normal working days must be carried out in the United Kingdom.

Pay information

  • The description states that base pay is taken home every month and pension funding is paid monthly; no salary amount is provided.

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