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Business Data Analyst

Fruition Group

London Area, United Kingdom · Jornada completa

Sé el primero en postularte

Experiencia
Cualquier
Salario
60.000 libras esterlinas – 60.000 libras esterlinas al año
Vacantes
1
Al corriente
Hace 9 horas
Modo de trabajo
En la oficina
Reanudar
Se requiere solicitud

Descripción del trabajo

Role Overview

We are seeking a Business Data Analyst to join a dynamic data team within a prominent financial services firm in London. This position offers a hybrid work environment and a base salary up to £60,000. The role embraces a comprehensive scope including data analysis, automation, governance, reporting, and business improvement initiatives.

Key Responsibilities and Skills

  • Collaborate with various departments to understand data usage and pinpoint opportunities for enhancing existing workflows.
  • Implement practical solutions that combine hands-on data manipulation and strong stakeholder engagement.
  • Utilize tools such as Snowflake, SQL, Alteryx, Power BI, and the Microsoft Power Platform to drive data initiatives.

Preferred Experience

  • Background in analytical roles involving data, reporting, business analysis, or data management.
  • Proficient in SQL with confidence in querying and investigating datasets.
  • Experience working with Power BI or comparable data visualization platforms.
  • Familiarity with Snowflake, Alteryx, or equivalent data automation technologies.
  • Interest in streamlining processes and minimizing manual tasks.
  • Strong analytical thinking and problem-solving capabilities.
  • Aptitude for engaging effectively with stakeholders across diverse business functions.
  • Knowledge of change management, transformation projects, data governance, or data management is advantageous.
  • Exposure to financial services or asset management sectors is beneficial but not mandatory.
  • Experience or interest in Power Automate, Power Apps, Python, APIs, or SFTP is useful but not essential.

Additional Information

The role favors individuals with a solid foundation in data analysis and a desire to expand their expertise in automation, reporting, and governance. Candidates from Data Analysis, Business Analysis, BI, or Data Management backgrounds are all encouraged to apply. This position promotes equal opportunity and welcomes applicants regardless of race, gender, disability, religion, sexual orientation, or age.

Work styles they’re looking for

Pensamiento analítico Resolución de problemas

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