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Data Analysts

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Job Description - Data Analysts

Role:

This is a senior individual
contributor role focused on advanced technical expertise and independent
delivery. The role does not include people management responsibilities.

Core Purpose:

Provide technical, analytical and
strategic insight to support the development of robust data practices,
streamlined processes, and intelligent automation within the corporate Banking team.

 Skills and tools:

The ideal candidates will have hands on
experience with:

  • Data: Power BI (Fabric), SQL. Data
    bricks, Data Factory.

  • Tech: Power Platform (Power
    Automate, Power Apps)

  • AI: GPT bases AI agent (Copilot
    studios, Chat GPT AI agents etc).

Key responsibilities:

  • Design and build scalable data processes that extract, transform, and visualise information using
    Power BI/Fabric, Dataflows, Databricks and Data Factory.

  • Act as a trusted partner to stakeholders, providing transparent communication and managing expectations
    throughout project lifecycles.   

  • Own the report lifecycle,
    including:

  • Applying change control and documentation standards
  • Monitoring and resolving report failures
  • Reviewing usage to ensure reports remain relevant and valuable
    • Comfortable owning solutions with
      minimal oversight, including scoping, technical design, development,
      testing and deployment

    • Capture non -strategic data elements manually where required, while proactively identifying long -term strategic solutions
      with internal technology teams.

    • Collaborate closely with the Lending Data team to source and integrate data from the One Data Platform
      (ODP) and shared lending data infrastructure.

    • Identify data sources not yet in ODP, working with the lending team to bring them into the
      strategic data ecosystem.

    • Work with Data Governance to
      define and maintain critical data elements for the Real Estate business,
      ensuring accurate recording, monitoring and adherence to data -quality
      standards.

 Technical knowledge:

  • SQL: Proficient in SQL and
    other query languages used for data extraction and manipulation.

  • Power BI / Fabric: Strong
    proficiency in developing data models, reports, dashboards and end -to -end
    Fabric solutions.

  • Power Platform: Experience
    with Copilot Studio, Power Automate, and Power Apps.

  • Azure Data Tools: Practical
    experience with Databricks, Data Factory and related cloud data
    engineering components. Good to have

  • Microsoft Excel: Excellent
    working knowledge, including advanced functions and data analysis
    techniques.



Requirements

Skills

  • Analytical Insight: Exceptionally
    numerate with the ability to interpret data, identify trends, and clearly
    articulate insights that drive business action.

  • Stakeholder Engagement: Able
    to quickly distil stakeholder questions into clear analytical requirements
    and deliver timely, actionable outputs in an accessible format.

  • Communication & Influence: Excellent
    written and verbal communication skills, able to adapt style and messaging
    for different audiences and stakeholders.

  • Project Management: Strong
    ability to self -manage research, design solutions, prioritise work, and
    deliver projects efficiently and independently.

  • Adaptability: Willingness and
    ability to rapidly learn new tools, technologies and methodologies.

  • Data Storytelling & Visualisation: Ability to design engaging, interactive dashboards and
    outputs that translate data into meaningful stories.

 

Personal attributes

  • Demonstrates professionalism and integrity in all interactions.
  • Proactive and self -motivated, with the initiative and
    commitment to see projects through to completion.

  • Comfortable working in ambiguity and able to find structure
    within it.

  • Resilient and persistent, willing to iterate and learn from
    setbacks.

  • Dedicated to delivering high -quality work and ensuring
    stakeholders receive information in time to act.

  • Analytical, curious and data -driven, with a natural inclination
    to question assumptions and seek clarity.

  • Relationship -oriented, able to build strong, trusted
    partnerships across the Bank.

  • Demonstrates impeccable attention to detail.
  • Driven by continuous improvement, always looking for ways to
    enhance processes, tools and methods to create efficiencies or generate
    value.


As part of our collaborative & agile
culture, our working week is 4 days in the office and one day remote.



Original job Data Analysts posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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