Sr Omni-Channel Analyst

Job Posting Title:

Sr Omni-Channel Analyst

Req ID:

10113889

Job Description:

“It takes people to make the dream a reality.” Walt Disney's words still ring true today. At Disney, you'll be part of a team that brings innovation to life through remarkable experiences. As a Sr. Omni-Channel Analyst, you'll join the Consumer Insight, Measurement & Analytics (CIMA) team, leveraging data to drive Guest satisfaction and business outcomes.

We're seeking a passionate Sr. Omni-Channel Analyst to deliver insightful analysis, collaborate with multiple teams, and tell compelling stories with data. This role is perfect for a Senior Analyst aiming to broaden their experience, an advanced mid-tier Analyst ready for the next step, or an Analytics Manager looking to switch industries.
 

This position supports the Walt Disney World Resort and Theme Park Ticket sales business and is an independent contributor amongst an accomplished team. You are encouraged to apply, even if you don’t think you meet every single requirement in this posting. In DTOA, we’re looking for resourceful analytical talent with a demonstrated ability to learn and expand the team’s capabilities, not just those who tick 100% of the boxes.

This will be a hybrid role, with majority of your time working in the office, occasionally working from home, and will need to be physically based near our Celebration, Florida office.

What you will do:

Utilize measurement to support business objectives

• Collaborate with business, technology, and other analytics partners to determine data needs and establish data collection requirements based on those needs
• Oversee accurate implementation of data collection requirements by executing quality assurance procedures and on-going anomaly detection efforts
• Support partner teams with regular reporting, ad-hoc analyses, and deep-dive projects from start to finish using industry best practices and unique self-driven ideas
• Use statistical methods to solidify validity of findings and explain those concepts to non-experts

Independently drive priorities and recommendations to fruition

• Represent the team as the owner of channel data collection using knowledge and use-cases for solving business questions
• Discover areas of opportunity for data improvement and follow-through to see those improvements implemented
• Proactively seek out additional information to round out analyses and confirm assumptions
• Be a participatory member of tactical teams with on-going initiatives

Leverage professional experiences to demonstrate analytical aptitude and support project lifecycles

• Prepare analytical plans, including milestones, hypotheses, and data sources necessary, to complete complex deep dive analysis
• Maintain reference materials for performance reporting and contextual insight
• Design clean, visually appealing, effective and impactful reports and visuals for executive leadership consumption
• Succinctly present stories with a focus on actionable outcomes fit for the audience

Problem solve and participate in “Blue Sky” sessions, coming up with new ideas and concept design

• Contribute to data strategy solutions in a collaborative and supportive environment
• Continuously evolve reporting capabilities by way of innovation and efficiencies
• Proactively analyze and solve business problems that business partners may not know they have
• Make judgement calls in tight-turnaround situations with confidence and weigh pros vs cons

Demonstrate poise in all interactions with partners and internal teams with a solutions oriented attitude

• Respond to partner inquiries and seek to understand needs in a business context before setting expectations and commitments
• Meet or exceed expectations with time and resources available by communicating to leadership and partners if adjustments need to be made
• Lead peers in collaborative analytical efforts and cross-train other members of the team
• Conduct business with compliance and safety requirements top of mind at all times

We’d love to hear from people with the following qualifications:

• 5+ years of professional career experience
• 3+ years of analytical experience
• Familiar with digital data collection methods and analysis of web and/or mobile app platforms
• Proficiency in SQL, R, or Python programming languages
• Working knowledge of machine learning, artificial intelligence and predictive analytics
• Demonstrated ability to dissect data, define segmentation scenarios, and target use cases
• Ability to distill analysis into concise recommendations and present to various levels of audiences, including executives
• Persuasion skills