Revenue Analytics Product Manager - Decision Science

What You Will Do

DDSI seeks data-driven and business-minded team members who are passionate about learning our client’s businesses, forming relationships with key partners, and driving value through the tactical and strategic use of data and analytics. You will support development and improvement of existing solutions by exploring, implementing, and testing enhancements to address key business problems. You are someone who enjoys connecting with clients to brainstorm ways to better support business decisions, being a thought partner in analytical settings, designing and building data visualization dashboards, and developing, leading and improving analytical solutions.

Responsibilities:

• Internal Consultant – You will act as a Company-wide consultant, with particular focus on Park Revenue Management, using advanced analytics and science models to solve business problems.

• Strategic Partner – You will engage with internal domestic and international clients for projects that increase revenue, improve efficiencies, or guide strategy development.

• Product Manager – Support the assessment of business needs, requirements gathering, solution design, delivery, testing, and user training of analytics applications. You will also manage client requests and prioritize them into a product roadmap.

• Problem Solver – When presented with new challenges, you will research and network to find solutions, evaluated within the context of business impact.

• Storyteller – Through polished presentations, deliver and effectively communicate key insights, findings, and recommendations in a concise, actionable, and efficient manner to partners and leadership teams.

• Data Analyst – Analyze and visualize large data sets to capture insights, seek out answers to business problems, and uncover new revenue opportunities.

Required

Qualifications & Skills:

• 7+ years of experience in product management/development, delivery, and management of revenue management systems

• Solid understanding of hospitality revenue management and dynamic pricing systems, data flows, statistical methods, forecasting, and/or optimization, various Data Science methods and basic understanding of system design & architecture

• Knowledge of one or more of the following languages: SQL, Python, and/or R

• Development experience using data visualization technologies, such as Tableau

• Ability to drive projects forward along timeline and product roadmap independently with minimal oversight, adapting to changing client priorities, business conditions and technical challenges

• Ability to build trust and influence partnerships across a diverse group of clients, partners, and vendors, both internally and externally

• Experience in leading and contributing to discussions on decision science and technology workflows with highly technical Science or development teams as well as senior leadership teams

• Ability to simplify complex analytics into recommendations that are easily understood and executable

• Ability to train and mentor partners on Science concepts, technology, and implementation

• Ability to prioritize in response to an ambiguous and constantly evolving business environment

• Creative problem-solving and decision-making skills

Preferred Qualifications:

• Experience in hospitality organizations within Revenue Management & Analytics

• Experience in pricing methodologies and practices

• Advanced knowledge of park ticket products

• Skilled in software development life cycle, developing product roadmaps for implementation and sustainment

Education:

Required

Education:

• Bachelor’s degree and/or equivalent work experience

Preferred Education:

• Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience.

• Master's Degree or equivalent experience

DISNEY TECH

The hiring range for this position in Glendale, CA is $149,240 to $200,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.