Data Insights Specialist

5 days ago


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

Transforming Business with Data-Driven Insights

At Old Mutual, we believe in harnessing the power of data to drive business growth and success. As a Senior Data Analyst, you will play a pivotal role in unlocking insights that inform strategic decision-making.

About the Role

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

Main Responsibilities

  • Data Analysis & Interpretation:
    • Analyze complex data sets to identify patterns and trends that inform business decisions.
    • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
  • Predictive Modeling:
    • Design, build, and validate predictive models to support business strategy.
    • Continuously refine models based on feedback and new data to ensure accuracy and relevance.
  • Collaboration:
    • Work closely with cross-functional teams to understand data needs and deliver actionable insights.
    • Provide mentorship and guidance to junior analysts within the team.
  • 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-Centric Approach:
    • 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.


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