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Business Analyst and PMO - Banking, Investment, Financial, Trading

Broad Street
3 months ago
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Data Analyst

We are currently looking for an experienced Business Analyst with solid experience of operating within the Banking or Financial Services domain, to join our banking client for an inital 10-month contract based in the City of London.

Rate of Pay: Up to £540 per day (inside IR35 via an umbrella company)

Tenure: 10 months, extendable

Hybrid: 3 days onsite in Liverpool Street; 2 days remote

Essential Skills Required:

  • Experience working in a data team and collaborating with cross-functional teams to identify, scope and develop solutions

  • Familiarity with a range of data & analytics disciplines (e.g. data governance, data quality, business intelligence, data engineering, ad hoc analytics) and a passion for using data to improve business outcomes

  • Experience as Business Analyst, Data Analyst, Junior Project Manager or similar role.

  • Demonstrable experience using of the tools, principles, and best practices techniques appropriate to requirements gathering, analysis and documentation.

  • Understanding of project management principles and approaches like waterfall and agile

  • Effective written and verbal communication skills: (i) comfortable presenting to and facilitating group of business users at all levels, (ii) ability to describe technical solutions to non-technical colleagues

  • Ability to plan and manage own work to meet challenging deadlines with minimal supervision

  • Experience of working in the financial services industry and knowledge of data related regulatory requirements for financial service sector

  • Experience of working across multiple jurisdictions and cultures

  • SQL skills to support requirements and data analysis, ideally including both raw and aggregated data with the ability to review transformation logic

    If you have the aforementioned experience, please apply with your latest experience to learn more.

    Keywords: Business Analyst, SQL, data governance, data quality, business intelligence, BI, data engineering, PMO

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