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Chief Analytics Strategist

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Advanced Data Analyst Role

The key objective of this advanced data analyst position is to apply statistical techniques and machine learning algorithms to unravel complex data insights.

Responsibilities
  • Design, develop, and deploy predictive models that contribute significantly to business growth.
  • Collaborate with cross-functional teams, including data engineers, analysts, and stakeholders to ensure seamless project delivery.
  • Implement a robust data analysis framework to extract meaningful insights from large datasets.
  • Ensure model performance, scalability, and maintainability through rigorous testing and validation.
  • Communicate complex technical findings to non-technical stakeholders through clear and concise reports.
  • Stay up-to-date with the latest advancements in machine learning and AI, integrating new tools and techniques into existing workflows.
Qualifications
  • A degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience (3+ years) in applying machine learning/statistical models to drive business outcomes.
  • Proficiency in programming languages such as Python, R, or similar languages, with expertise in machine learning libraries.
  • Strong grasp of data structures, algorithms, and software engineering principles.
  • Experience with cloud platforms and model deployment tools is highly desirable.
  • Knowledge of big data technologies and database systems is also beneficial.
  • Excellent problem-solving skills, with the ability to break down complex issues into actionable tasks.
  • Outstanding communication skills, with the ability to convey complex technical concepts to non-technical audiences.
Preferred Qualifications
  • Experience in deploying models into real-time or high-availability production environments.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data visualisation tools.
  • Experience with CI/CD pipelines for ML projects.
  • Domain expertise in areas such as finance, healthcare, retail, or marketing analytics.
Key Competencies
  • Technical Expertise: Demonstrates exceptional skill in applying data science techniques to solve real-world problems.
  • Business Acumen: Understands business drivers and challenges, aligning analytical approaches with organisational goals.
  • Ownership & Accountability: Takes responsibility for deliverables, timelines, and quality of work.
  • Collaboration: Fosters an inclusive team environment, actively sharing knowledge and seeking input from colleagues.
  • Adaptability: Embraces change, learns quickly, and is willing to iterate in response to feedback or shifting priorities.