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Business Intelligence Analyst Lead

1 week ago

Cape Town, Western Cape, South Africa Old Mutual Full time

Unlocking Business Value through Data Excellence

At Old Mutual, we are committed to driving business success through the strategic use of data. As a Senior Data Analyst, you will play a critical role in delivering high-quality data insights that inform business decisions.

About the Opportunity

This is an exciting opportunity for a skilled data professional to join our team and contribute to shaping the future of our organization. You will be responsible for analyzing complex data sets, identifying trends, and developing actionable recommendations that drive business outcomes.

Main Responsibilities

  • Data Analysis & Interpretation:
    • Develop and maintain advanced analytics capabilities to support business strategy.
    • Communicate findings effectively to stakeholders through clear and concise reporting.
  • Predictive Modeling:
    • Design, build, and validate predictive models to support business outcomes.
    • Continuously refine models based on feedback and new data to ensure accuracy and relevance.
  • Cross-Functional Collaboration:
    • Work closely with cross-functional teams to understand data needs and deliver actionable insights.
    • Collaborate with stakeholders to develop data-driven solutions that meet business needs.
  • Innovation & Improvement:
    • Stay up-to-date with the latest trends and technologies in data analytics.
    • Identify opportunities for process improvements and automation within the analytics workflow.
  • Customer Focus:
    • Leverage data to enhance customer experiences and engagement through personalized recommendations.
    • Contribute to the development of data-driven financial advice solutions.

Requirements

  • Education:
    • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Experience:
    • 5+ years of experience in data analysis, preferably within the financial services industry.
    • Proven experience in building and deploying predictive models.
    • Strong knowledge of data analytics tools and programming languages.
  • Skills:
    • Excellent analytical and problem-solving skills.
    • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
    • Ability to work collaboratively in a fast-paced environment.
  • Personal Attributes:
    • Self-motivated, proactive, and eager to learn and grow.
    • Customer-focused with a passion for improving financial wellness through data-driven insights.
    • Strong organizational skills and the ability to manage multiple projects simultaneously.