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Pontoon

Data Analyst

Pontoon Leeds
500 to 600
32 - 40 hour


Show Recently closed jobs

    Pontoon

    Data Analyst

    Pontoon Leeds
    500 to 600
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £500 to £600
    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    Job Title: Data Analyst

    Location: Halifax / Leeds / Hybrid

    Contract Type: 6 months contract

    Our client, a leading organisation in the banking sector, is seeking a talented and motivated Data Analyst to join their team. This is an exciting opportunity to be at the forefront of one of the most significant data transformation programmes in UK financial services. The role is designed for individuals who are eager to make a meaningful impact by transforming complex business needs into trusted data solutions.

    Key Responsibilities:

    Transform and Analyse: Dive deep into customer journeys, data lineage, and end-to-end data flows to uncover valuable insights that drive strategic decision-making.
    Collaborate: Work closely with business stakeholders, product owners, architects, and data engineers to translate business needs into clear and actionable requirements.
    Investigate Data Lineage: Trace critical data from its source to consumption, identifying dependencies and impacts to provide insights that support engineering delivery.
    Shape Future Data Products: Your analysis will play a pivotal role in shaping future-state data products, improving data quality and trust, and facilitating the migration from legacy systems to modern, scalable solutions.
    Navigate Complexity: Use your curiosity and analytical rigour to simplify complex data problems into engineer-ready requirements, ensuring alignment with business outcomes.

    Key Qualifications:

    Strong analytical skills with the ability to navigate ambiguity and complex data landscapes.
    Proven experience in data analysis, preferably within the banking or financial services sector.
    Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
    Familiarity with data governance principles and practises.
    A proactive approach to problem-solving and a passion for data-driven decision-making.

    This role offers a unique chance to reimagine and modernise one of the largest mortgage data estates in Europe. By joining our client, you will help create a trusted, well-governed, and insight-driven data platform that enhances decision-making and leads to better outcomes for customers and colleagues alike.

    If you are ready to take on this challenge and be part of a transformative journey in the banking industry, this opportunity could be the perfect fit for you!

    How to Apply:

    Interested candidates are encouraged to submit their CV and a cover letter detailing their relevant experience and explaining why they are the ideal fit for this role.

    Join our client in shaping the future of mortgage data and making a tangible difference in the financial services landscape!

    Note: This job advertisement is being posted on behalf of our client and is intended for informational purposes only.

    We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

    Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive
    Salary description

    £500.00 - £600.00 per day

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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