Open Positions at IQbusiness

KEY OUTCOMES

• Provide business insights through statistical analysis, forecasting, predictive modelling, simulation and optimisation. tIdentify, explore, examine, integrate and scrub data from multiple disparate data sources required tanswer complex business questions.
• Design advanced analytics (quantitative) models that will answer key business questions or discover opportunities for improvement, increased revenue or reduced costs.
• Analyse model results, interpret findings and communicate these findings in commercial terms tBusiness Users sthat the business impact is clearly understood.
• Confidently and clearly communicate analytical results tboth technical and non-technical audiences.
• Recommend solutions for creating revenue and reducing costs/loss based on model results.
• Run and automate regular reporting and operationalise successful models. 
• Establish effective and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business
• Work closely with the Data Analyst(s) tassist in answering complex business problems that require statistical analysis.
• Regularly monitor internal and external customer needs and make appropriate recommendations.
• Remain current with retail industry and Business Intelligence and data trends that will have business strategy implications or can be used tsupport recommendations tcontinually ‘test and learn/ tgenerate value. ·
• Remain current with developments in advanced analytics and methodologies.
• Establish effective and collaborative partnerships with relevant business and IT teams, particularly the BI source systems.
• Remain current with developments in advanced analytics technology and methodologies.
• Monitor and report on the progress of IT management’s remediation of IT audit findings and IT risks.
• Contribute tthe assessment and selection of IT GRC applications, solutions and services

CORE REQUIREMENTS

• Degree in applied statistics, mathematics, operational research, economics, data engineering, risk management (honours or masters degree preferred)
• A minimum of 5 years in advanced analytics and optimisation of which at least 1 -2 years experience must be with the building of data models
• The ability tlook at a model and evaluate it
• Experience with data manipulation and analysis using SAS and SQL skills or equivalent analytical platform skills.
• Experience with Python coding (basic tintermediate skill level)
• Business acumen
   

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Key activities & accountabilities

• Responsible for designing and improving business processes to enhance efficiency, productivity, and quality. This includes analysing existing processes, identifying areas for improvement, and implementing changes to optimize workflow.
• Assisting the team with drafting the Process Taxonomy and Governance Framework that will govern the process repository across the business.
• Work closely with various stakeholders, including business leaders, department heads, and end-users, to understand their requirements and align process design with organizational goals, this includes conducting meetings, workshops, and interviews to gather feedback and ensure buy-in from all parties involved.
• Responsible for documenting and standardizing processes to ensure consistency and clarity. This includes creating process maps, flowcharts, and standard operating procedures (SOPs) that outline the steps, roles, and responsibilities involved in each process.
• Identifies opportunities for process optimization, innovation, and automation to drive efficiency and effectiveness. This involves staying updated with industry best practices and emerging technologies.
• Collaborates with various departments and teams to ensure seamless integration and alignment of processes across the organization. They facilitate cross-functional communication, coordination, and collaboration to optimize end-to-end processes and achieve organizational objectives.
• Ensures that processes meet quality standards and comply with regulatory requirements.

Minimum Requirements

• Knowledge and experience in process improvement methodologies such as Six Sigma or Lean
• 5 years’ experience in process design, improvement, or related roles.
• The following industry experience would be beneficial.
• Insurance
• Financial
• Retail environment
• Knowledge of process improvement methodologies, a strong understanding of process improvement methodologies such as Six Sigma, Lean or BPMN
• Proficiency in process modelling tools, preferably Bizagi
• Analytical and problem-solving abilities,
• Attention to detail to identify gaps, inconsistencies, and potential risks.
• The ability to work collaboratively within a team of process Analysts.
• Exceptional communication skills and the ability to communicate appropriately at all levels of the organisation; this includes written and verbal communications as well as visualisations.
• Team player able to work effectively at all levels of an organisation with the ability to influence others to move toward consensus.
• Good inter-personal skills, including influencing and persuasion skills.  Collaborates effectively with others to achieve personal and team results.
• Pro-active, innovative, and creative thinker who can think outside the box.

Ideal Profile / Competencies

• Analytical & problem-solving skills.
• Attention to detail.
• Time Management & Prioritization
• Examining Information
• Adaptability and Learning
• Agile Methodology
• Quality Assurance Best Practices
• Technical Skills (Bizagi, Visio)