Overview The Economist II is responsible for assisting in the data collection, design, development, deployment and maintenance of data driven econometric models applied to the lease business and the used vehicle market. The Economist II plays a key role in the production of research and analysis to quantify the impact of economic, legal and auto industry factors on the portfolio performance and asset values. This research support strategic planning, as well as the specific needs of Pricing, Asset Remarketing, Accounting, Investor Relations, Structured Finance, Dealer Services and Credit Risk Management. This position will assist the Economics team in modeling efforts through an in depth knowledge of econometrics, diligent knowledge of economic and market data, and providing insightful interpretation through outside of the box analysis. To improve ad-hoc executive decisions, the Economist II applies advanced analytical skills and processes through data analysis, model development and strategy testing. This position is also responsible for summarizing, reporting and providing a polished presentation on findings to a variety of internal clients as well as interacting with other departments in the interest of achieving the overall company objectives. Responsibilities Job Duties Develop econometric models and perform statistical analysis in order to solve business problems. Monitor and validate model performance and update models as needed. Research new methods of analyzing large and highly complicated data sets. Combine traditional econometric tools with cutting edge machine learning techniques. Apply these techniques to analyze the impact of used vehicle price trends on the lease portfolio. Subject matter expert for the Economics team on in-house data. Maintain expert level knowledge of economic series and databases In conducting ad-hoc research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business Apply economic principles, knowledge of third party data sources, and creative econometric expertise in developing new models to new business areas. Provide modeling and econometric to ensure that the delivered products meet the business needs of the company. Partner with and provide recommendations to business leadership on the appropriate application of econometric analysis, market data and predictive analytics to business strategies and effectively communicate risk analysis and implications to senior leadership. Qualifications Knowledge Auto finance related quantitative risk modeling. Advanced knowledge of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, non-parametric techniques, principal components, linear programming techniques Statistical learning techniques including decision trees, bagging, boosting and support vector machines. Ability to identify and understand business issues and map these issues into quantitative questions Must have experience analyzing, merging and summarizing large datasets from different sources Ability to design and implement model documentation and monitoring protocols Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, and data analysis techniques Skills Proficient in MS Office: Word, PowerPoint and Excel (including pivot tables and macros) Advanced skills in SAS, R or similar programming package Proven knowledge of SQL or similar database programming language Ability to interact collaboratively with internal customers and external vendors Effective written and verbal presentation skills with an ability to communicate well with Senior Management Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure Education Master's Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required Experience 2-3 years auto finance experience (leasing and residual value forecasting) preferred 3-5 years programming experience - SAS preferred 5-7 years experience presenting highly complex analysis required Work Condition Normal office environment

Overview The Economist I is responsible for assisting in the data collection and maintenance of data driven models. The Economist I plays a role in the production of research and analysis to quantify the impact of economic, legal and industry factors that affect portfolio performance and asset values. This position is responsible for being the subject matter expert on the used vehicle market. This position is also responsible for summarizing, reporting and providing polished presentations on findings to a variety of internal clients as well as interacting with other departments in the interest of achieving the overall company objectives.           Responsibilities Job Duties Assist in analyzing key metrics and performing data analysis Support the used vehicle market monitoring process, including detailed analysis of residual value projections, monthly reporting and ad-hoc analysis Develop and maintain various databases Assist team in preparing residual value meetings Build technical knowledge to support research and analytic responsibilities Assist in conducting ad-hoc research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business. Ensure that the delivered products meet the business needs of the company. Partner with and provide recommendations to business leadership on the appropriate application of economic analysis, market data and predictive analytics to business strategies and effectively communicate risk analysis and implications to senior leadership. Qualifications Knowledge Ability to identify and understand business issues and map these issues into quantitative questions Efficiently work with large datasets Ability to design and implement model documentation and monitoring protocols, demonstrated understanding and experience with technical systems, rational datasets, data warehouses, and data analysis techniques Skills MS Office required. SAS programming experience preferred. Effective written and verbal presentation skills with an ability to communicate well with Senior Management Ability to interact collaboratively with internal customers and external vendors Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure Education Master's Degree in related field required Work Condition Notmal office environment

We Are: Imagine yourself as a Professional Intern in People Insights where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through the discovery of analytical workforce insights and employee related research. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through data analysis, compelling storytelling, and data visualization. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from analysis to forecasting to research that provide decision support for workforce related issues. Responsibilities: Responsibilities may include but are not limited to: Provide reporting and analyses for various businesses and functions Leverage data to perform trend analysis, statistical analysis, KPI monitoring, and data insights Ability to support both quantitative and qualitative research methodologies Assist with the development of data visualizations and presentation support Support research initiatives such as needs analysis, leadership 360s, and focus groups Communicate with clients for the delivery of reports and insights Work collaboratively to learn and develop HR business acumen and to share best practices Seek to identify process improvement initiatives to optimize HR efficiencies Basic Qualifications: A curious nature and passion for understanding the ‘what’ and ‘why’ Strong interpersonal and partnering skills who excels in a collaborative environment Strong analytical, problem solving, and decision making skills Experience manipulating and analyzing large data sets and reporting on results Demonstrated strong organization skills with attention to detail Strong communication and time management skills Ability to handle and maintain confidential information Demonstrated strong proficiency in Excel Willingness to learn new software applications and quantitative skills Preferred Qualifications: Experience with Cognos, SAP, Workday, SPSS, and/or SAS Experience using data visualization tools such as Tableau Familiarity with Quantitative and Qualitative research methodologies Familiarity with survey platforms such as Qualtrics Required Education: Currently enrolled in an accredited college or university and taking at least one class, or be a recent graduate of an accredited college or university within the last six (6) months at time of application, or be currently participating in the Disney College Program, Disney Culinary Program or Disney Professional Internship Program Pursuing a Bachelor’s degree in Data Analytics, Data Management, Statistics, Mathematics, Economics, Finance, Business Administration, or closely related field Additional Information: The approximate dates of this internship are June 2019 through January 2020 Candidate must be available to work full time hours (approximately 40 hours per week) for the duration of the internship Able to occasionally work a flexible schedule including early mornings, late nights, weekends or holidays Able to provide own housing and transportation in the Orlando area Must not have completed one year of continual employment on a Disney internship or program Must possess unrestricted work authorization Must be at least 18 years of age Required Materials: PDF version of resume must be uploaded at time of application

Support reporting and data mining efforts providing analysis that drives sales recommendations and uncovers opportunities to grow Walt Disney’s Domestic Parks and Resorts. This is a 24-month Project Hire (PH) role within the Sales Analytics and Insights (SAI) team. The role will be focused on building reporting platforms integrating multiple data sources and driving reporting efficiencies. Additional responsibilities will include working closely with internal partners to develop an understanding of the business needs to identify business trends and provide insights. The role requires problem solving, integration with key business partners; statistical analysis, data management, and visualization of the broader scope. The successful candidate will be a savvy analyst who can deliver results and thrive on excellence. Join Our Team: Consumer Insight, Measurement, & Analytics (CIMA) is an organization that enables data-driven and consumer-centric decision making through integrated, objective and actionable insights. Within CIMA, the SAI team provides objective decision support to the Sales organization in the following areas: client and cast incentives, sales channel analytics and growth, and sales strategy. Responsibilities:  Your Role: Pursue innovation - Develop new efficiencies and processes for extracting and merging various big data sets Share knowledge - Develop an understanding of various internal and external sales-related systems for consulting with clients Exceed the goal – Support multiple short- and long-term projects simultaneously under changing and challenging constraints Interact - Foster relationships with other internal departments and project stakeholders Basic Qualifications:  Demonstrated strong written and verbal communication skills with the ability to develop and articulate actionable, fact-based, insights and recommendations. Demonstrated ability to leverage data integration software skills including spreadsheets and databases software Proven experience working with Tableau and other reporting and data mining tools (e.g., SAS, Teradata SQL, Business Objects, Crystal Reports, etc.) Demonstrated proficiency in use of Microsoft Office programs (especially PowerPoint and Excel) Demonstrated strong problem-solving and critical thinking skills Strong interpersonal skills, including the ability to partner with others and deal effectively with multiple projects and changing priorities Preferred Qualifications: Walt Disney Parks and Resorts experience Marketing analytics experience Travel industry experience Required Education: Bachelor’s degree or equivalent with concentration in Business, Data Analysis, Statistics, Industrial Engineering, Operations Research, Finance or similar discipline Preferred Education: Master’s degree or equivalent experience with a concentration in Business Administration, Data Mining & Analysis, Statistics, Industrial Engineering, Operations Research, Finance or similar discipline  

The Disney Decision Science & Integration (DDSI) team provides internal consulting services for clients across The Walt Disney Company including Media Networks (e.g. ABC, ESPN), Studio Entertainment (e.g. The Walt Disney Studios, Disney Theatrical Group), Direct-to-Consumer & International, and Parks, Experiences and Consumer Products. The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation (and integration with business processes), and ongoing business support. DDSI seeks forward-thinking team members who are passionate about learning our client businesses, forming relationships with business leaders, and driving value through the tactical and strategic use of data and analytics. The work requires a combination of analytical mindset with hands-on experience in data and programming, and a natural gift for communicating and presenting complex analytical findings. Strong candidates are those with the right balance of technical and business skills that are critical for successful execution of analytics to drive business values. Responsibilities Partner with other business units and develop expertise in their field; Learn about existing processes and tools and identify opportunities for improvement using analytics; Develop research questions and hypotheses, and propose feasible research designs to address the questions; Collect, process, and analyze large data sets; Build appropriate analytical models independently or collaboratively with our science partners; Develop insights and interpret results; Develop audience-specific communication strategy to share insights with and collect feedback from partners and clients at different organizational levels; Act as a liaison to coordinate with internal and external teams with different skill sets and perspectives. Basic Qualifications 2+ years of experience in analytics or consulting role; Proficiency in acquiring, organizing, cleansing, manipulating, and mining large amounts of data; Demonstrated capabilities in performing exploratory and quantitative analytics; Strong written, oral communication, presentation, and interpersonal skills; Ability to work both independently and as part of a collaborative team; Ability to manage multiple priorities and adapt to rapidly changing business environment; Good balance of technical expertise and business acumen; Strong work ethics with great attention to detail and quest for quality; 3+ years experience and proficiency in Python, SQL, SAS (or similar programming languages); Proficiency in Excel, PowerPoint, and Tableau. Preferred Qualifications Experience with the media industry, especially television, SVOD, and film; Experience with marketing, sales, pricing, or revenue management; Experience with internal or external consulting; Proven solid experience in developing and applying analytics solutions to drive business values. Required Education Bachelor’s degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) OR in Business Analytics with a strong quantitative background Preferred Education Master’s or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background  

At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you! Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations. We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment. Primary Job Responsibilities The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience. You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors. Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones. Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers. Required Skills and Experience Bachelor’s degree in a quantitative field, MS/PHD preferred Entry to mid level role. Experience in SQL, relational databases Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus Expertise in machine learning packages Python, R,SAS Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.) Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend). This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy. Qualifications Minimum Qualifications: Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus). Minimum 4 years of experience in marketing, sales or business analytics. Experience with data mining software packages such as R, PYTHON, SAS, SPLUS. SQL and statistical algorithms and modeling. Experience working with large and complex data sets. Experience in predictive modeling and machine learning algorithms. Additional Preferred Characteristics: Effective presentation/communication skills and the ability to interpret and simplify data for others. Communicate conclusions in a clear and sharp manner. Work well independently as well as part of a broad team. Innovative attitude and out-of-the-box thinking. Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel. Inside this Business Group Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide. Other Locations US, California, Santa Clara Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

This position is for a research scientist in the Assembly and Test Technology Automation organization. Specific responsibilities of the individual would be to: Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel. Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment. The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control. Stay current with the latest developments in industry and academia in the field of advanced manufacturing Drive development of novel ideas and results that would result in patents and publications Qualifications: PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics Expert in the field of applying optimization, data modeling and machine learning to solve technical problems Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++) Knowledge of and experience with open source machine learning frameworks Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning. Strong oral and written communication skills Other strongly desired characteristics: Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing Exceptional attention to details and organizational skills Inside this Business Group As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Overview Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization. An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions. Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization. Responsibilities Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions. Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team Qualifications Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred. 10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred. 5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally. Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment. Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus. Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView. Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus. Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude. Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Disney Parks, Experiences, and Consumer Products (DPECP) brings stories, characters and franchises to life through Parks & Resorts, toys, apps, apparel, books, and stores. As Walt said, “You can dream, create, and design the most wonderful place in the world…but it takes people to make the dream a reality.” DPECP is an industry leader in labor management, empowering best-in-class Cast Members to deliver Disney’s legendary guest service. The DPECP Labor Systems team works closely with business partners to create innovative applications that support workload, scheduling, time, and deployment for operations leaders and Cast. We produce robust applications that enhance key aspects of the Cast experience. Labor Systems is transitioning the legacy data strategy to a cloud-based platform with a data lake in development, while also supporting clients with visualization tools and advanced analytics. Labor Systems seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges. As the ideal candidate, you should have strong verbal and written communication skills, and be able to work independently as a self-starter, utilize good time management skills, and function well within a diverse team. Responsibilities : In this internship, you will be expected to work on engineering and migration of multiple data flows/pipelines from on premise infrastructure to a big data Hadoop cloud platform. You will work on developing/migrating workflows to move, transform, store and consume the data using big data/Hadoop technologies. You will work on deploying various application code/modules on the platform and verifying the executions. In this internship, you will also work on creating an automated monitoring process and reporting on critical alerts within the platform. Basic Qualifications : Strong business planning, communication (both written and verbal) and time management skills Substantial partnering and influencing skills with the ability to work with leaders at all levels to coordinate team efforts Strong systems/process orientation with demonstrated analytical thinking and problem solving skills Ability to work in a team-oriented, collaborative environment and to work effectively within a matrix organization and project environment (e.g. Agile) Must have ability to work independently and make decisions with minimal guidance while managing multiple tasks and projects Familiarity with machine learning libraries (e.g. Spark MLLib, AWS Machine Learning, Mahout, JSAT) Familiarity with big data technologies (e.g. AWS, HDFS, Hive, Spark, Scala, NiFi) Familiarity with visualization and reporting tools (e.g. Tableau, Power BI, Alteryx, Business Objects) Strong understanding of computer science fundamentals Strong understanding of data lake, big data and Hadoop concepts Strong understanding of data security concepts Preferred Qualifications: Proficiency and developer skills in multiple query/programing languages (e.g. SQL, SAS, Python, Java, R) and analytics software (e.g. Apache Spark, Gurobi, SAS) Proficiency in data visualization and reporting tools (e.g. Tableau, Power BI, Alteryx, Business Objects) Familiarity with workforce management/labor concepts Project experience with upstream/downstream data integration and reporting requirements/capabilities Project experience with building data flows, pipelines and big data migration Required Education : Junior, Senior, Graduate Level student or recent graduate pursuing a Bachelor's or Master's Degree in Computer Science, Computer Engineering, Data Analytics, Industrial Engineering, Information Technology, Management Information Systems, or related field Additional Information : Program Length The approximate dates of this internship June 12th, 2019 - January 3rd, 2020. Interns must be fully available with unrestricted work authorization for the entire duration of the internship. Internship Eligibility Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney Professional Internship or Disney College Program. Must possess unrestricted work authorization for the entire internship period Must provide full work availability Must provide own transportation to/from work Current active Disney Cast Members must meet Disney Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months Housing A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Location Orlando, FL

Disney Parks, Experiences, and Consumer Products (DPECP) brings stories, characters and franchises to life through Parks & Resorts, toys, apps, apparel, books, and stores. As Walt said, “You can dream, create, and design the most wonderful place in the world…but it takes people to make the dream a reality.” DPECP is an industry leader in labor management, empowering best-in-class Cast Members to deliver Disney’s legendary guest service. The DPECP Labor Systems team works closely with business partners to create innovative applications that support workload, scheduling, time, and deployment for operations leaders and Cast. We produce robust applications that enhance key aspects of the Cast experience. Labor Systems seeks forward-thinking team members who are passionate about delivering a quality product and enjoy working closely with business partners on both strategic and tactical challenges. The ideal candidate should be flexible, have strong verbal and written communication skills, be able to work independently as a self-starter, utilize good time management skills, and function well within a diverse team. Responsibilities : This intern will work as a member of the Labor Systems team, supporting the sustainment of existing labor systems as well as multiple capital projects currently in flight. This work requires the ability to learn new skills, technologies, and concepts. There will be data analysis and presentation development for all levels of leadership. Basic Qualifications : Strong business planning, communication (both written and verbal), and time management skills Effective partnering and influencing skills with the ability to work with leaders at all levels to coordinate team efforts Strong systems/process orientation with demonstrated analytical thinking and problem solving skills Strong organizational skills and attention to detail Ability to work in a team-oriented, collaborative environment and to work effectively within a matrix organization and project environment (e.g. Agile) Ability to work independently and make decisions with minimal guidance while managing multiple tasks and projects Experience using Microsoft Excel and PowerPoint Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts Preferred Qualifications :   Familiarity with workforce management/labor concepts Familiarity with visualization and reporting tools (e.g. Tableau, Power BI, Alteryx, Business Objects) Previous project experience within a workforce management, labor, or related operation Previous project experience in an Agile environment Previous experience in an analytical and/or data-centric environment Familiarity multiple query/programing languages (e.g. SQL, SAS, Python, Java, R) and analytics software (e.g. Apache Spark, Gurobi, SAS) Familiarity with data science and information management disciplines Familiarity with data lake, big data, and Hadoop concepts along with data security and machine learning concepts Required Education : Junior, Senior, Graduate Level student or recent graduate pursuing a Bachelor's or Master's Degree in Business Administration, Computer Science, Computer Engineering, Data Analytics, Industrial Engineering, Information Technology, Management Information Systems, or a related field Additional Information : Program Length The approximate dates of this internship are June 12th, 2019 - January 3rd, 2020. Interns must be fully available with unrestricted work authorization for the entire duration of the internship. Internship Eligibility Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney Professional Internship or Disney College Program Must possess unrestricted work authorization for the entire internship period Must provide full work availability Must provide own transportation to/from work in the Orlando area Current active Disney Cast Members must meet Disney Professional Internship transfer guidelines (for Walt Disney World Cast Members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months Housing A limited amount of company sponsored housing is available on first-come, first-serve basis. If company sponsored housing is not available, interns must be able to provide their own housing for the duration of the internship. Location Orlando, FL

Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts. CIMA influences decision making with integrated, objective, and actionable insights. We Are… Within CIMA, the Consumer Insight team drives value by developing a deep understanding of consumers and Guests that is leveraged to identify improvement opportunities and influence key strategies across the business. Responsibilities:  A Day in the Life: Assisting with qualitative and quantitative consumer research in support of the Disney Parks & Resorts segment Partnering with leadership to analyze secondary data sources, design research studies, interpret qualitative and quantitative data, create presentations, and share results with internal stakeholders Basic Qualifications: What You Bring to the Role: Strategic problem solving & analytical skills Demonstrated experience with SPSS Strong proficiency in Microsoft Excel and PowerPoint Experience collecting and analyzing data and reporting on the results Strong interpersonal and oral/written communication skills Ability to effectively translate data points into findings and create compelling presentations Relationship builder, who excels in a collaborative environment Strong organizational skills, attention to detail, and ability to prioritize competing tasks A curious nature and passion for understanding the ‘what’ & ‘why’ Preferred Qualifications: Demonstrated experience with Tableau Previous market research experience Experience with SAS Familiarity conducting surveys Required Education: Junior or higher working towards (or recently graduated with) a degree in Marketing, Economics, Sociology, Psychology, Statistics, Business or other related field GPA of 3.0 or higher Additional Information: Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Dates: Interns must be fully available from June 2019 through January 2020. Required Materials: Resume and transcripts must be uploaded at time of online application. Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program . Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.

The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. We Are… The Data Analytics consulting team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities: Make an Impact by supporting marketing, distribution, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by: Collecting, validating and maintaining data in SAS, R or Python Generating periodic and ad hoc forecasts, while maintaining results Applying analytics to address marketing and finance business questions Developing analytical solutions for cross-segment clients Maintaining technical system documentation Performing industry research and benchmark analysis Preparing client deliverables Basic Qualifications: What You Bring to the Role... Strategic problem solving & analytical skills Proven proficiency with SQL, Python, R, or SAS to perform data manipulation or modeling Basic understanding of Tableau Statistics or Econometrics background Experience collecting & analyzing data and reporting on the results Excellent oral/written communication skills to technical and non-technical audiences Intense attention to detail Ability to adapt in a rapidly changing business environment and manage multiple competing priorities Proficiency in Microsoft Excel Ability to work well independently, but also in a team environment Preferred Qualifications: Demonstrated experience with Tableau or similar data visualization tools Previous work experience in Statistics Required Education: Currently pursuing (or recently graduated with) a Master's degree in Analytics, Statistics, Mathematics, Economics, Operation Research, or a related quantitative field GPA of 3.0 or higher Additional Information: Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Dates: Interns must be fully available from June 2019 through January 2020. Must be able to work 40 hours a week, Monday through Friday. Required Materials: Resume and transcripts must be uploaded at time of online application. Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program. Housing: Interns must provide their own housing for the duration of their internship program.