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Business Intelligence Analyst

In Technology Group
Manchester
4 months ago
Applications closed

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Business Intelligence Analyst - Financial Services

Job Title: Business Intelligence Analyst

Location: Manchester City Centre (2 Days onsite)

Salary: £35,000 - £50,000 DOE



Who we are:The client is a digitally ambitious financial service (Flat fee trading platform). We are headquartered in Manchester with operations throughout the UK.


Why join us:The group are on the cusp of an exciting digital transformation journey and central to that transformation is technology. The group is implementing a group-wide data platform which will form the foundations of our next phase of growth following recent M&A activity.


What you’ll be doing:As the lead in this role, you will drive the delivery of actionable insights to decision makers. You will be a strategic thinker who places the company and our customers at the heart of technical problem solving. You will work closely with senior stakeholders across multiple divisions within the group, leading the analysis of varying data sets to create transformational insights as well as eventually building a team to expand the Data team further.


Responsibilities:


  • Insights: Drive novel external and internal insights resulting in tangible economic gains through, for example, increased customer win rate, expanded gross margin, improved revenue recovery or improved operational efficiency.
  • Visualisations: Create and maintain data visualisations to effectively communicate insights to group businesses and stakeholders.
  • Commercial Insights: Analyse data and collaborate with business leads to identify opportunities and drive commercial advantage through data-driven insights.
  • Best Practice and Frameworks: Set best practices and establish frameworks for effective BI visualisations to ensure data is presented clearly and effectively using Power BI.
  • Data Extraction and Exploration: Lead business users in understanding data and how to extract actionable insights driving improvements in customer service, operations, and business efficiency.
  • Collaboration: Collaborate with data engineers and business leaders to align data-driven insights with company objectives.
  • Data Platform: Facilitate the implementation of a data reporting platform that produces insights to uncover trends and drive strategic decisions.
  • Data Integrity: Monitor key data sources, identify inconsistencies, and implement improvements to drive data integrity and quality. Provide insights and gap analysis to help the group drive revenue.
  • Recruitment: Build and manage a high-performing Reporting & Insights team to drive data intelligence, insights and crucial management information (MI) reports.
  • Roadmap: Work with senior stakeholders to develop a roadmap that will deliver data insights aligned with business goals, including data governance, analytics, and operational reporting.



Other Responsibilities

  • Performance Monitoring: Regularly monitor and measure data analytics performance using key performance indicators and other metrics.
  • Innovation and Improvement: Explorer new insights and trial solutions to continuously improve data processes and outcomes.
  • Training and Development: Provide training and development opportunities for team members to enhance their skills and knowledge.
  • SME Enablement: Use skills and experience to embed best practice usage of data within the group and enable business champions in their use of Power BI.


Essential Skills


  • Expert visualisation skills in Power BI.
  • Excellent analytical, presentation, and report-writing skills with a focus on performance improvement.
  • Excellent communication and collaboration skills. Able to work with C-suite level stakeholders.
  • Data curious, aware of how to use data effectively and interest in new /emerging trends in the data analytics space.
  • Experience with one or more of Microsoft Fabric, SQL, or Python.
  • Excellent Microsoft Excel skills and its integration with Power BI.
  • Experience in Financial services or Banking preferred.


Desirable Skills

  • Knowledge and experience of Machine Learning technologies.
  • Knowledge and experience of AI using Microsoft technologies.

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