Sr Omni-Channel Analyst

1 Month ago • 5 Years + • Data Analyst

Job Summary

Job Description

The Sr. Omni-Channel Analyst at Walt Disney World will leverage data analytics to optimize digital and contact center channels, driving guest satisfaction and business outcomes. Responsibilities include collaborating with various teams to define data needs, implementing data collection, performing quality assurance, creating regular and ad-hoc reports, conducting deep-dive analyses, and presenting findings to executive leadership. The role requires proficiency in SQL, R, or Python, experience with digital data analysis, and strong communication and presentation skills. This is a hybrid role based near Celebration, Florida, requiring independent work, problem-solving, and collaboration within a fast-paced environment. The successful candidate will proactively identify opportunities for data improvement, contribute to data strategy, and lead collaborative analytical efforts.
Must have:
  • 5+ years professional experience
  • 3+ years analytical experience
  • Digital data collection & analysis
  • SQL, R, or Python proficiency
  • Data analysis & presentation skills
  • Independent & collaborative work
  • Problem-solving & decision-making
Good to have:
  • 5+ years using Adobe Analytics
  • 3+ years with data warehouse platforms
  • A/B testing and eCommerce optimization
  • Predictive analytics & personalization
  • Project management experience
  • Leadership experience
  • Bachelor's degree in analytical field

Job Details

Job Summary:

“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true.

Consumer Insight, Measurement & Analytics (CIMA) is a part of the Disney Experiences segment, and is a center of excellence leading strategy development and decision making through actionable data analytics, integration, and insights.  Within CIMA, the Digital and Travel Operations Analytics (DTOA) team is focused on leveraging best practices in analytics to capture data, analyze, and optimize our digital and contact center channels, in order to drive Guest satisfaction and business outcomes.

We are seeking a talented Sr. Omni-Channel Analyst with a passion for analytics and technology. As a Sr. Omni-Channel Analyst, you will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization via data management and innovation. This important position requires you to possess a great attention to detail and the curiosity to understand the “why” behind performance. You must also be comfortable working with multiple partner teams in a fast-paced environment, developing requirements, extracting data, conducting analyses, and telling stories with data. This role is perfect for you if you’re an existing Senior Analyst aiming to broaden your experience, an advanced mid-tier Analyst ready for the next step in your career, or an Analytics Manager looking to switch industries.
 

This position supports the Walt Disney World 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 time in both the office and 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
  • Experience 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 to effectively guide decision-making using action-oriented data insights
  • Independent time management and prioritization skills with an ability to meet deadlines
  • Intuition for anticipating outcomes, envisioning the right course of action, and influencing successful business outcomes
  • Succinct and clear communication in verbal, written, and visual mediums
  • Successful performance in an evolving field where new tools and technology are the norm
  • Proven relationship skills with thought partners, clients, and collaborative teams
  • Curiosity to push the envelope with good judgment to mitigate risk
  • Experience with A/B Testing and/or web/mobile app optimization
  • Proficient in Microsoft Office (Outlook, Excel, PowerPoint, Word, OneNote)
  • Proficient in collaboration tools (ex. SharePoint, Google Docs, etc)

We’d really like to talk to you if you have the following nice-to-have qualifications:

  • 5+ years using Adobe Analytics or other digital analytics toolsets
  • 3+ years experience with data warehouse platforms
  • Experience with push and in-app messaging analytics
  • Strong understanding of A/B Testing and eCommerce optimization
  • Travel industry and eCommerce experience
  • Experience with predictive analytics and experience personalization
  • Project management experience
  • Leadership experience

Required Education

  • Bachelor’s Degree

Nice-to-Have Education

  • Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, finance, engineering or an MBA or Master’s degree in an analytical/quantitative field or equivalent work experience

#DISNEYTECH

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About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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