Senior Manager Analytics

SUMMARY DESCRIPTION:

Work with marketing, information technology, operations, and other departments to deliver reports and analysis that drive decision making. Provide in-depth insights and recommendations that drive business results. Provide highly consumable data to the organization.

ESSENTIAL JOB FUNCTIONS/DUTIES:

• Perform quantitative analysis, predictive analytics, machine learning, and/or text analytics including data prep and ingestion, feature engineering, analysis and modeling, and model deployment.

• Collaborate with IT team to implement end-to-end AI/ML solutions, from infrastructure and data pipelines to model deployment and monitoring.

• Monitor and refine ML projects that are in production.

• Ensure the team is using appropriate technologies, tools, and methods to deliver high-quality work.

• Conduct ad-hoc analyses of marketing programs, customer trends, hotel performance, and other business areas.

• Support marketing activities through robust customer segmentation, performance analysis, test design and analysis, and predictive modeling.

• Recommend and implement best practices in marketing measurement and A/B testing.

• Effectively communicate complex technical results to stakeholders and multiple levels within the organization.

• Build productive relationships with stakeholders across marketing and IT to deliver AI/ML solutions that drive profitable growth.

• Collaborate with the marketing team to understand business needs and translate into AI/ML opportunities.

• Develop presentations to be delivered to stakeholders that clearly and concisely deliver insights and recommendations that drive profitable growth.

• Demonstrate creative problem-solving skills to inform decisions, improve outcomes, and deliver transformation through data.

• Keep stakeholders informed and updated.

• Lead with a customer first mentality.

• Train, coach, and mentor team members.

• Create job flows and maintain documentation of processes.

• Develop and maintain a positive working relationship with outside vendors.

• Other duties as assigned.

JOB SPECIFICATIONS:

• Bachelor’s degree with quantitative focus such as data analytics, data science, or applied math and statistics required, master’s preferred.

• 5+ years of hands-on experience in data analysis and predictive analytics with machine learning techniques.

• Experience with data mining, data analysis, modeling of complex data sets, statistical analysis, forecasting, and predictive analytics.

• Experience building and deploying end-to-end ML solutions.

• Deep knowledge of marketing and data science strategies.

• Advanced knowledge of SQL, Python, and similar tools required.

• Knowledge of machine learning and data processing services from cloud providers such as Amazon, Microsoft, and Google.

• Proficient with Microsoft Office suite.

• Experience managing projects and team members.

• Ability to communicate effectively with stakeholders.

• Demonstrated professionalism and leadership skills.

• Organized and detail oriented with strong attention to accuracy.

• Ability to obtain/maintain any necessary licenses and/or certifications.

Boyd Gaming