Data Ops Manager at KingMakers

Role Overview: 

• As Data Ops Manager, you be responsible for analyzing data related to retail/agency operations, customer behavior, and market trends to drive data-informed decision-making and optimize retail strategies for maximum growth.
• The ideal candidate will have a strong background in data analysis, statistical modeling, and data visualization, with experience in the retail industry and a solid understanding of the sports betting business.
• The Data Ops Manager would lead a team of Junior data analysts and will work closely with cross-functional teams, including marketing, product, payments, customer experience and finance, to provide actionable insights that support the company's agency objectives and drive business growth. 

What You Will Be Doing:  

• Lead the development and implementation of data-driven growth strategies in Agency operations  
• Conduct data analysis on agency operations data to identify trends, patterns, and opportunities for growth optimization.  
• Develop and maintain predictive models and algorithms to forecast agency performance, and market trends to inform strategic decision-making.  
• Model out commission & bonus structures to deliver the best value.  
• Design and implement experiments and A/B tests to evaluate the effectiveness of various agency strategies, Bonus promotions, and initiatives, and provide recommendations for optimization.  
• Create and deliver clear and actionable data-driven insights, reports, and visualizations to stakeholders, including retail operations teams, marketing teams, and executives, to drive data-informed decision-making.  
• Track key performance indicators (KPIs) for retail operations, establish data tracking mechanisms, and monitor performance metrics, providing recommendations for improvement.  
• Conduct ad-hoc analysis and generate insights to support retail initiatives, such as pricing analysis, promotion effectiveness, and Agent segmentation.  
• Stay updated with industry trends, best practices, and emerging technologies in data analytics and retail to continuously improve data analysis methodologies and techniques.   

What You Need for This Role:  

• 7 + years experience in Analytics  
• Solid SQL & Python skills – ability to query and transform data for analytics using SQL, Python  
• Python or similar data coding skills is  an advantage.  
• Demonstrated ability to understand business dynamics and turn this understanding into key metrics and dimensionality.  
• Experience working in a Microsoft BI environment (Power BI, SSAS) a strong advantage.  
• Experience with self-serve BI toolsets (e.g. Tableau, Qlik, Looker) and web analytics tools (e.g. Google Analytics) an advantage. 
• Experience with experimentation techniques and technologies. 
• Demonstrated ability to create innovative data visualizations that succinctly communicate key insights.  
• Ability to work with a wide variety of data sources, with ability to extract valuable insights.  
• Experience with a sports betting business a strong advantage. 
• Track record leading a team and helping others to grow their own analytics skills and career,  
• Ability to present the results of work to stakeholders across the business, including senior leadership team; strong communications skills.