Operations Analytics Lead at Sun International

Job Purpose:

• The Operations Analytics Lead is responsible for overseeing and leading a team of specialists in the development and execution of data-driven insights and reporting solutions that directly influence key business decisions and drive operational efficiency, aligning business intelligence initiatives with the organisation’s strategic goals and fostering a data-centric environment that empowers stakeholders at all levels to make informed, impactful decisions.
• This role will lead the design, implementation and optimisation of business intelligence solutions, ensuring the creation of insightful reporting mechanisms and analytical tools that deliver timely and actionable insights across operations, marketing, customer behaviour and competitive analysis. 

Job Scope:

• Lead the design, development, and continuous improvement of business intelligence reporting solutions, ensuring they support business decision-making, operational efficiencies and strategic goals
• Work closely with strategic teams, such as Marketing and Operations, to design and implement campaigns, promotions, and customer engagement initiatives, using data insights to guide and optimise strategies
• Monitor market trends, competitor performance and industry best practices to ensure the organisation remains agile and competitive
• Oversee the development of data management solutions, ensuring the tools, processes, and systems are relevant and provide maximum value to the organisation
• Design and implement reporting frameworks that provide timely insights into key operational metrics
• Present key findings to leadership to maximize results, ensuring that team efforts are aligned with business priorities
• Lead the development and presentation of data-driven recommendations to guide the company’s future direction
• Oversee the collection and analysis of data from various business systems and the data warehouse
• Lead the team in benchmarking performance against industry standards and competitors and make necessary recommendations
• Drive adherence to confidentiality protocols and safeguard sensitive business data, maintaining trust and security across operations
• Drive team efforts in delivering intentional impact analyses for key projects, ensuring actionable insights are provided to support decision-making
• Lead the team in analysing marketing performance across digital channels, ensuring customer behaviour insights are leveraged to optimise strategies and offerings
• Oversee the design and execution of operational metrics, identifying trends and recommending improvements in key performance areas
• Provide recommendations to enhance customer interactions, including identifying the most effective tools, channels, and engagement strategies for personalised customer experiences, using a data driven approach
• Oversee the team’s preparation and timely submission of data sets and related reports to stakeholders, ensuring the information is clear, accurate, and delivered as needed for decision-making
• Collaborate with senior management to develop data-driven strategies that guide business direction and improve competitive positioning
• Supervise staff conditions of employment, e.g. attendance, absenteeism, leave, adherence to policies and procedures
• Team Leadership; providing mentorship, technical guidance, and fostering a collaborative, results-driven work environment
• Monitor and support the professional growth and skill development of team members, ensuring they are aligned with organisational goals and delivering high-quality insights
• Facilitate performance contracting, reviews and development

Job Requirements

Qualifications:

•  B Degree (Actuarial Science / or statistics)

Experience:

• At least 6-8 years’ experience in the application of mathematics and statistics in the workplace environment including work such as Statistical Modelling, valuation modelling, business intelligence, analytics for monitoring customer experiences, supervisory experience

Behavioral Competencies:

• Creating and improving
• Applying expertise and technology
• Conceptualising
• Analysing
• Implementing Skills
• Managing Customer & Stakeholder relationships
• Adapting
• Emotional Maturity

Technical Competencies:

• Understanding of the sports betting and casino industry
• Master data management including data modelling techniques, relational databases (i.e. SQL Server
• Visual Basic macros and automation principles.
• Proven ability to handle sensitive information in a confidential manner.
• Business process analysis methods and techniques
• Advanced skills in MS Office Suite
• Statistics
• Application tools – R, SQL, Qlik Sense, Power BI, VBA
• Business intelligence, data-warehousing, and statistical programming
• Project management skills
• Business acumen