“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 Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Consumer Insight team focuses on leveraging best practices in consumer and Guest feedback to improve experiences for all who choose Disney as a vacation destination. The Business Systems Specialist must possess a passion for data, systems and innovation. He/she will play a critical role in leveraging systems supporting internal partnerships to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc requests and efforts successfully through the Consumer Insight Data Services. The candidate must also ensure focus on data quality by following processes and continually innovate against the process and tools used to do this work. Responsibilities: This role is in support of an operational area and requires a minimum of 3 days of availability each week; including early morning, evening, weekend, and holiday availability. Assist with processing of paper Disney Cruise Line (DCL) Guest Satisfaction Measurement (GSM) survey forms. Accurately and efficiently order and prepare blank paper survey forms and coordinate regular pick up/delivery to DCL ships. Responsible for processing, weighting and delivery of survey data sets to Disney Parks, Experiences and Products. Provides support in delivery of data sets to all research clients. Evaluates user needs, defines technical problems, and works with leadership/technical programming staff to determine solutions. Assists clients in data mining solutions. Provides support for defining quality assurance reporting system requirements, process improvements, efficiency and innovation. Job requires flexibility to changing priorities and the ability to embrace technology changes. Basic Qualifications: Experience Knowledge of Market Research Process Proficiency in statistical mathematic reporting Experience with numerical data Minimum 2 years of experience in Statistical role or equivalent Skills Minimum two years of data processing experience or equivalent Previous experience in an analytical department is highly preferred Excellent problem solving/analytical skills and attention to detail is required Demonstrated knowledge of statistical software (e.g., SPSS, SAS, etc.) Demonstrated knowledge of Data Visualization tools such as Tableau Highly developed computer knowledge skills including Microsoft Office-based applications, Excel macros, relational databases, Boolean logic, and familiarity with object oriented programming Ability to work independently and complete assignments as a member of a team, and provide excellent customer service to internal and external customers. Able to handle multiple tasks simultaneously and demonstrate excellent interpersonal skills Demonstrate professionalism, enthusiasm, and patience for serving customers Must be able to learn new tools and technologies as needed Required Education: Bachelor's degree or equivalent experience

“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 Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Travel Operations Analytics and does not have direct reports. Responsibilities: Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel. Generate insight from site data and communicate opportunities or issues. Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements. Work with implementation specialists to validate website tracking. Design effective and impactful reports and visualizations for business and technical audiences. Leverage analytics to continuously recommend optimization tactics that will improve site performance. Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis. Define and execute quality assurance procedures to ensure accuracy of analytical output. Create presentations to highlight analysis and tell the story. Basic Qualifications: 3+ years relevant work experience in an analytical field 2+ years of experience with web analytics tools such as Adobe SiteCatalyst or Google Analytics Ability to derive actionable insights from data and effectively guide decision-making Ability to manage multiple priorities in a fast-paced, complex business environment Excellent written and verbal communication skills Proactive problem-solving and critical thinking skills Ability to manage time effectively and consistently meet deadlines Proficient in Microsoft Office suite Preferred Qualifications: 5+ years web analytics experience Travel industry and ecommerce experience Experience with A/B testing and website optimization Ability to apply statistical rigor to analyses Knowledge of web page construction and/or user experience design Experience with business intelligence tools Experience with SQL, Hive, SAS and/or other programming languages Required Education: Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. Preferred Education: Master’s degree in an analytical/quantitative field or equivalent work experience  

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.