Main Purpose:Provide statistical analysis, forecasting, predictive modelling, simulation, and optimisation to discover trends, opportunities, and threats. Communicate findings to business users to answer critical business questions.
What you bring?- Educational Foundation: A degree in applied statistics, mathematics, operational research, economics, data engineering, risk management, or equivalent industry training and experience.
- Advanced Degree: Honours or masters degree preferred.
- Experience: A minimum of 5 years in advanced analytics, model building, and optimization.
- Technical Proficiency: Strong skills in data manipulation and analysis using SAS, SQL, or similar platforms, coupled with in-depth knowledge of Data Warehousing and BI environments.
- Analytical Expertise: Comprehensive understanding of advanced analytical techniques, including statistical methods, segmentation, experimental design, neural networks, data mining, and optimization techniques.
- Problem-Solving Savvy: Ability to tackle business problems with unknown variables and deliver innovative solutions.
- Big Data Ecosystems: Experience with Big Data ecosystems and advanced analytical platform skills is a plus.
- Curiosity and Courage: A deep curiosity and a strong desire to explore beneath the surface of problems. Courage to question assumptions and drive transformational change.
Key Responsibilities:- Innovate and Optimize: Utilize your advanced analytics skills to build and optimize models, enhancing business performance and decision-making.
- Data Mastery: Manipulate and analyze data using SAS, SQL, or equivalent analytical platforms to deliver actionable insights.
- Strategic Impact: Identify high-value business problems and address them through cutting-edge analytics solutions.
- Collaboration: Work closely with cross-functional teams to drive change and influence organizational approaches to business challenges.
Key Outcomes:- Business Insights: Provide insights through statistical analysis, forecasting, predictive modelling, simulation, and optimisation. Identify, explore, examine, integrate, and scrub data from multiple disparate sources to answer complex business questions.
- Design advanced analytics models to answer key business questions or discover opportunities for improvement, increased revenue, or reduced costs.
- Analyze model results, interpret findings, and communicate them in commercial terms to Business Users for clear business impact.
- Communicate analytical results confidently and clearly to both technical and non-technical audiences.
- Recommend solutions for creating revenue and reducing costs/loss based on model results.
- Run and automate regular reporting and operationalize successful models.
- Partnerships: Establish effective and collaborative partnerships with BI Analysts, Data Scientists, and Use Case Owners in the business.
- Work closely with Data Analysts to assist in answering complex business problems requiring statistical analysis.
- Regularly monitor internal and external customer needs and make appropriate recommendations.
- Stay current with retail industry, Business Intelligence, and data trends to support recommendations and generate value through continuous testing and learning.
- Stay updated with developments in advanced analytics and methodologies.
- IT Collaboration: Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.
- Stay updated with developments in advanced analytics technology and methodologies.
- Monitor and report on IT managements remediation of IT audit findings and IT risks.
- Contribute to the assessment and selection of IT GRC applications, solutions, and services.
If you're ready to take your career to the next level and make a lasting impact, apply now and become a part of our journey to success!
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