Lead Data Analyst

Marshall Wolfe
London, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
£70,000.0 - £80,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis R (Programming Language) Python (Programming Language) Machine Learning SQL Databases Data Strategy Databricks

Job description

  • Translate complex business problems into clear analytical approaches and actionable recommendations.
  • Deliver insights that support strategic and operational decision-making.
  • Develop analytical models and evaluate business performance drivers.
  • Partner with senior stakeholders across the organisation to influence decisions through evidence-based analysis.
  • Lead analytical projects from problem definition through to implementation and impact measurement.

Requirements

Marshall Wolfe are hiring on behalf of our client within banking, for a highly analytical Lead Data Analyst to help solve complex business challenges through data-driven insights and strategic recommendations. This is an excellent opportunity for someone with a background in analytics, decision science, strategy, consulting or research who thrives in a fast-paced, stakeholder-focused environment., * Proven experience in analytics, decision science, strategy, consulting or research.

  • Strong analytical and problem-solving skills with the ability to work through ambiguity.
  • Commercially minded, with experience balancing customer, business and operational outcomes.
  • Knowledge of Python, SQL, R, Databricks, machine learning or AI would be advantageous.
  • Experience within financial services, consulting, or customer-focused industries.

If you’re passionate about turning data into strategic decisions and influencing business outcomes through insight, we’d love to hear from you. Skills

  • Analytics
  • Data Strategy Consulting
  • Decision Insight & Analytics
  • Python

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