S'INSCRIRE
Retour aux emplois
XX
Data analyst - Financial Services TechnologySphere Recruitment Associates Limited • Belfast, Northern Ireland, United Kingdom
Trouver des emplois similaires

Cette offre d'emploi n'est plus disponible

XX

Data analyst - Financial Services Technology

Sphere Recruitment Associates Limited
  • +1
  • +7
  • GB
    Belfast, Northern Ireland, United Kingdom
  • +1
  • +7
  • GB
    Belfast, Northern Ireland, United Kingdom
Trouver des emplois similaires

À propos

Data Analyst Financial Services Technology About the Role Join a growing Technology team operating at the intersection of data, strategy, and financial services technology. As a Data Analyst, you will collaborate with leading institutions across the financial services sector to unlock business value through smarter data use, system optimisation, and digital innovation. This role combines business analysis, stakeholder engagement, and hands-on data expertise to help clients harness information for improved decision-making and operational efficiency. It offers a dynamic, client-facing environment where youll play a key role in shaping data solutions and driving meaningful change across the sector. Key Responsibilities Data Analysis & Technology Projects Lead and support data-driven initiatives across the full operational lifecycle from client onboarding and reporting to regulatory alignment and process optimisation. Elicit, document, and translate complex business requirements into actionable data and technology solutions. Engage with stakeholders across business and technical teams to ensure solutions are fit-for-purpose and aligned with strategic objectives. Conduct detailed data analysis, data quality reviews, and reconciliation across systems and sources. Design and improve operational processes through automation, analytics, and integration. Support the development of data governance frameworks and control structures. Prepare technical and business documentation, including workflow diagrams and data dictionaries. Contribute to client workshops, testing, and deployment support. Education & Background Degree-level education in a quantitative discipline such as Data Science, Statistics, Mathematics, or Computer Science. 25 years experience in data analysis, business analysis, or technology delivery within financial services. Working knowledge of SQL or similar querying languages. Technical & Professional Competencies Strong analytical and problem-solving ability, with experience handling large datasets. Proven background in transformation or change projects involving multiple stakeholders and systems. Advanced proficiency in Excel and experience with visualisation tools (e.g., Power BI, Tableau). Understanding of process mapping, data workflows, and requirement traceability. Excellent communication and presentation skills, both written and verbal. Strong stakeholder engagement capabilities. Experience in data migration, ETL, or systems integration. Working knowledge of SQL or similar querying languages. Understanding of project delivery methodologies such as Agile or Waterfall. Ideally experience in Financial Services. Benefits & Rewards Salary: £40,000 - £65,000 Benefits: Bonus, hybrid working (60/40), competitive employer pension contributions, structured career progression and annual promotion opportunities, funded professional qualifications and certifications and private health insurance Why Apply? This is an opportunity to join a high-performing team that values collaboration, innovation, and professional growth. Youll be encouraged to bring your authentic self to work, develop your expertise, and make a tangible impact in shaping the data and technology landscape within financial services. If youre seeking a role where your analytical skills and business insight can truly make a difference, wed like to hear from you. Skills: Data Analyst SQL ETL

Compétences idéales

  • Agile
  • Data Analysis
  • ETL
  • Power BI
  • SQL
  • Tableau
  • Waterfall
  • Belfast, Northern Ireland, United Kingdom

Expérience professionnelle

  • Data Analyst

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.

Trouver des emplois similaires