12 jobs found

“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 Familiarity with mobile/app analytics tools (e.g. Adobe Mobile SDK) Ability to design tagging strategies and effectively QA analytics tracking on mobile platforms Experience with push and in-app messaging 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  

Company Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.    We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission. Department The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations. Project The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally. Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations. Tasks Job Functions and Responsibilities  Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R); Build, iterate and validate predictive models using multiple statistical techniques; Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data; Play a key role in developing a data infrastructure; Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data; Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us; Provide insight on how to turn data insights into concrete measurable actions; Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics; When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data; Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s). Travel The role will not include travel, however collaboration with teams across the MSF movement globally may be required. Basic Qualifications     Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions; A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.); Must have expert skills and knowledge in R and Python; Experience with other general-purpose programming language like Java is a plus; Strong skills in applied statistics skills using a variety of techniques to extract insights from data; Proficiency in relational and non-relational databases including SQL; Expert skills in MS Excel; Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau); Experience in data mining; Experience in data wrangling/cleansing; Familiarity with Natural Language Processing; Familiarity with machine learning, deep learning, neural networks and data engineering; Superior attention to detail; Excellent communication and data visualization skills; Passion for data and its use in driving organizational change; Ability to adapt to a rapidly growing and scaling work environment; Strong work ethic, intellectual curiosity, and positive attitude; A willingness to perform other tasks as assigned. Preferred Qualifications   Analytics experience in the HR, non-profit, humanitarian or global health field; An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics; Experience with deploying data tools for non-technical end users; Experience with People Data such as compensation, attrition/retention, and leadership pipeline development; Experience working on a global team. Type HQ Pay Class Full Time Exempt Contract Type Fixed Term Contract (12 Month Contract) Additional Information Starting salary high 80s to low 90s (commensurate with experience); Relocation assistance and visa sponsorship will be offered for this position. Desired Hiring Date ASAP Working Time % 100,00 How to Apply Click the Apply Now button on this page to send letter of interest/cover letter and resume. ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed. Application Deadline: August 30, 2019  *Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.

The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Sr. Business Intelligence Analyst, with a strong business acumen and the technical skills necessary to uncover and present insights for the product and marketing teams of Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. High level summary: The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that the product and marketing teams can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have significant influence in the direction of the product in the years to come. Responsibilities : Day-to-day: Analyze customer cohorts to design maps of the customer journeys both inside and outside the product Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app) Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users Build and deliver executive-level presentations to both the internal executive team and members of the participating studios advisory counsel Mentor junior analyst(s), in both technical areas (SQL, Tableau, etc.) and business areas (building and delivering presentations, communicating insights to executives, etc.) Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for! Basic Qualifications : What we are looking for: Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions. Strategic thinking skills – whether these have been developed through a stint as a management consultant, during an MBA program, or through previous work experience, they are a must to be successful in this role. Understanding our partners’ goals as well as how the recent changes in the digital landscape are affecting those goals will make it easier for our team to advance our product initiatives. Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine data from different sources to understand our users and the performance of product features and marketing campaigns. Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams. Data and analyses need to be translated into meaningful and actionable insights and recommendations that can be easily understood by executives with limited technical experience. Executive presence - you will be “in the room” for some high-level meetings that determine the future of the product, and you will be expected to provide information or an opinion or recommendation Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand. Preferred Qualifications: What Will Give You a Leg Up: MBA – this is very close to a requirement for the position. Though the technical skills are necessary to hit the ground running, the business/problem-solving/communication skills are more important in the long run for this position. Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R. Required Education : Bachelor Degree  Preferred Education : MBA or Masters in related field  

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the data architecture of major data and analytics platforms for enterprise business data across TWDC. Responsibilities : Responsible for the overall data design and modeling across all of the organization’s data systems, especially the design of data in the major data platforms (data warehouses, data lakes, master data management systems), with focus on data analytics and data reporting and visualization Responsible for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, symantec-layer design, data taxonomies and ontologies Architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions Responsible for helping set the technology strategy and roadmaps for the portfolio of data platforms and services across the organization Responsible for data security and compliance Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects Translating business requirements into conceptual and detailed technology solutions Collaborates closely with partners across the organization including other architects, engineering and product managers, and business partners Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization Cross-training peers and mentoring teammates Basic Qualifications : Skills & Key Attributes Current with new technologies and vendor solutions available in the marketplace Expertise in data architecture and design, for both structured and unstructured data Expertise in data modeling Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Expertise in architecting and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions Fluent understanding of data security and compliance requirements Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding of Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Fluency in cloud based data storage and analytics offerings Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure Strong leadership skills Ability to “influence without authority” Strong consensus-building ability and negotiating skills Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models. Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies Chooses optimism and calls out cynicism and unproductive behavior Demonstrates stamina, resilience and perseverance under trying circumstances Experience 10 years plus experience architecting enterprise data solutions 10 years hands-on data design in large-scale and complex data solutions development projects In-depth experience in data architecture and design for large, complex enterprise data environments, for both structured and unstructured data Experience architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions Experience with data analytics, BI, data reporting and data visualization Experience with data modeling Experience with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Experience with AI/ML and predictive analytics Experience with data security and compliance Experience and with data lifecycle management, data-tiering and data archiving Experience with Solutions Architecture methodology and practices Experience with Finance and HCM data and business domains is a plus Proven track record of execution--driving results and meeting commitments. Required Education : BS in Computer Science or related technology field Preferred Education : MS Computer Science or related technology field  

Overview Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning. Benefits Competitive Salary + Bonus Medical, Dental, and Vision Insurance Life Insurance 401k with Employer Match On-site Gym Downtown location near diverse mix of restaurants, amenities, etc. Parking and Cell Phone Stipend Employee Self-Service Portal with Specialized Perks Volunteer / Philanthropic Opportunities Responsibilities Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy. Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems. Define and scope related project tasks, goals and deliverables with proper timelines and schedule.  Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems. Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights. Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.  Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change. Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction. Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi). Assist with administering the company SharePoint environment. Support a series of data governance activities for the enterprise. Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports. Performs other duties as reasonably requested. Qualitative Skills Able to translate strategic business requirements into specific detailed technical requirements and tasks. Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture. Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands. Able to project manage, prioritize activities, and diligently adhere to project deadlines Strong communication / organization skills, research capabilities, and experience working with cross-functional teams. Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation. Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations Fanatical attention to detail and is process-oriented, methodical, and systematic. Experience in an investment management or real estate organization is strongly preferred. Quantitative Skills Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling). Experience in IT controls and data governance practices desired. Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus. One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience. Quantitative educational background with professional data analytics experience. Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI Proficiency with a statistical analysis tool such as R and/or Python Machine Learning experience strongly desired Education Required Education Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.  Preferred Education Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field