Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the Omni-Channel Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools with the goal of establishing subject matter expertise in specific lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis to improve business performance and/or Guest satisfaction at the pace of business. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Senior Manager, Omni-Channel Analytics and does not have direct reports. Responsibilities : The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture Work with business partners to determine needs and requirements Identify and document data requirements to support both ongoing and ad hoc analysis Learn new data sets from various lines of business, to develop an expertise in those data sets Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data. Data Analysis and Insights QA data to ensure accuracy Analyze and mine data to find opportunities in time allotted Undertake proactive and reactive ad-hoc requests as needed Make business recommendations based on the data findings Drive more efficient and sophisticated analytical insights Basic Qualifications : The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture Work with business partners to determine needs and requirements Identify and document data requirements to support both ongoing and ad hoc analysis Learn new data sets from various lines of business, to develop an expertise in those data sets Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data. Data Analysis and Insights QA data to ensure accuracy Analyze and mine data to find opportunities in time allotted Undertake proactive and reactive ad-hoc requests as needed Make business recommendations based on the data findings Drive more efficient and sophisticated analytical insights Data Delivery / Distribution Develop efficient queries and tables for ongoing and adhoc analysis Convey and highlight recommendations to tell the story with data Ensure partners understand the data, table, processes The Omni-Channel Analyst’s preferred qualifications include: 3+ years of relational database experience 3+ years of analytical experience Ability to apply statistical rigor to analyses Knowledge of “big data” environments and tools Experience with digital and contact center data and analytics Experience with hostility data and analytics Experience with data warehouse platforms such as My SQL, SQL Server, Teradata Required Education : Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc

The Director will be the go-to analytic partner for senior executive business intelligence needs, driving business strategic and operational improvements by defining key performance indicators, then analyzing, measuring and recommending solutions. This team will focus on data quality through measurement, alerting and investigating outliers, and data error detection. They will partner with leaders across our Data team to ensure knowledge sharing, transparency and help in setting data standards and cross-functional communication. They will lead a team that has a diverse set analytics skills - data quality, data modeling, financial analytics and reporting, visualization, and design - to discover strategic insights and guide decision making. The Director, Central Business Insights will lead an experienced team of analysts aimed at increasing business results through the combination of statistical leadership, data analysis, and fast paced execution. Responsibilities : Be the lead for multiple BI projects including finance and strategy Present to and partner with senior executives, both defining and communicating insights Lead a new team of business intelligence analysts and data scientists with a focus on defining and measuring business KPIs Design, build and launch reliable dashboards that provide insights across global teams Manage security and privacy standards for the BI solutions through access controls Work with Product, Engineering and Data leads to ensure consistency across the product portfolio and various business functions. Deploy data quality checks to ensure high quality of dashboards Be hands-on and work with massive datasets with superior analytics skills Apply data mining techniques and build high quality predictions that are both actionable and understandable to technical and nontechnical stakeholders. Lead and expand a team that can deliver on short-term requests along with complex analyses and forecasting. Support on-call shift as needed to support the team Contribute in technical discussions on data standards and tooling Basic Qualifications : 7+ years of SQL (Snowflake, Amazon Redshift, Hive, etc.) experience and relational databases experience (Oracle, MySQL) 7+ years experience with mixed data skill sets and approaches (analytics, analytic tools, and data science); experience with rapid product and tool development preferred 5+ years experience in building, managing, and leading a high-performing data analytics team 2+ years of scripting: Java and/or Python development experience 2+ years experience in Big Data stack environments (AWS, Hadoop, MapReduce, Hive, etc.) Experience working with virtual and global cross-functional teams Preferred Education : Masters degree preferred in a quantitative or computational field (ie, Computer Science, Math, Statistics, Physics or an emphasis in quantitative methods or business analytics etc.)