Social Media Analytics Internship, Spring 2020– 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, Social Media Analytics team drives value by developing a deep understanding of consumers and Guests within social media environments that is leveraged to identify improvement opportunities and influence key strategies across the business. Responsibilities : A Day in the Life Analyzing social media data through social listening tools and manual tagging methods Utilize query building to discover, analyze, and synthesize social media conversation data around Disney Parks and Resorts brands into reports that effectively communicate social media insight to partners Maintain internal database of catalogued reports and investigate trends Provide data mining and statistical analysis to address key business issues, make recommendations accordingly, and produce regular (e.g., weekly, monthly, quarterly) reports for key recurring metrics Basic Qualifications : What You Bring to the Role Proven ability in Microsoft Excel, Word, Pages and Keynote (Mac) Strong writing skills with the ability to synthesize large amounts of data, put together insights and present a story Proven competency across social media platforms including Facebook, Twitter, Instagram, YouTube, Tumblr, Google+, Snapchat, and Pinterest Experience using Boolean Search Language Ability to develop expertise in complex keyword search expressions, linguistic operators and qualifiers, pattern detection, and regular expressions Familiarity with text analytics techniques such as topic modeling, content categorization, sentiment analysis, and entity extraction Proven self-starter and ability to balance multiple priorities in a fast-paced environment Excellent analytical, organizational and problem-solving skills Preferred Qualifications: Fluent language abilities in Spanish and/or Portuguese Intermediate to advanced skills in Microsoft Excel; Interest in math and/or statistics a plus Experience using Social Listening tools Experience in SAS Contextual Analysis, or other text analytics tools Required Education : Current Senior or higher obtaining (or recently graduated with) a degree in Marketing, Economics, 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 January 2020 through June 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.  

Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling. This is a full-time position for a period of up to two years.  The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources. You can learn more about our team in the Office of the Treasurer by visiting us online. Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below. ESSENTIAL FUNCTIONS: Lead the development of enrollment model(s) integrated to the College’s revenue budget. Conduct enrollment modeling for growth or changing financial aid strategies. Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees. Build, lead, and facilitate the integration of the data warehouse across the institution. Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested. Promote and develop opportunities to improve business intelligence across the institution. Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities. Prepare and lead communications regarding complex data to various constituents. Assist with the development of department and institutional dashboards and designing reports. Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes. Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work. REQUIREMENTS: Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting. Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis. Strong computer skills. Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences. Demonstrated project management skills. Superior communications skills in English. Exceptional organizational skills. Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders. Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb. Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education. Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail. Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities. Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models. COMPENSATION: Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.  Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details. TO APPLY: Priority Deadline: Review of applications will commence immediately. Please click the "Apply Now" button on this page to submit the following documents: Cover Letter Resume Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional). https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk Note: Applicants selected for interview will be asked to provide three (3) professional references.

Works with designated departments to understand business needs. Analyzes information, develops data solutions, and supports development of processes and applications to optimize user experience and impact. Major Responsibilities: Partners with staff to identify opportunities to leverage technology for process improvements and innovation; analyzes business needs to evaluate and recommend systems and applications and their usage. Implements technology solutions; including training and development of appropriate procedures & standards of use, ensuring the resulting work products / applications support the business needs. Collaborates across the organization in providing data analytics to generate insights, using internal and external information sources to enhance data-informed decision making throughout the Foundation. Develops and manages information resources; including data augmentations and aggregation of information. Employs project management skills, including establishing project charters and definitions, facilitating collaborations sessions, exercising communication and work plans. Stays up-to-date on the latest process and information technology advancements to improve Foundation systems and use of data. Updates, implements, and maintains technology related procedures. Regularly and routinely ensures solutions meet business needs and requirements, optimizing user experience. Other duties as assigned. Required Skills & Abilities: Customer-focus orientation with strong communication and organization skills. Strong analytical and problem solving abilities. Experience with solution development and technology assessments. Experience with database management; proficiency with Blackbaud’s Raiser’s Edge or Salesforce a plus. Experience in report writing and data extraction. Proficiency with Crystal Reports a plus. Knowledgeable about data modeling and analytics; experience with Microsoft Power BI a plus. Well-versed with Microsoft Office Suite (Excel, Word, PowerPoint). Knowledge of project management. Experience with process improvement projects, a plus. Preferred Education & Experience: 3 to 5 years relevant experience in technology, consulting, or data analytics. Bachelor’s degree. Make-A-Wish Illinois offers full-time employees comprehensive medical and dental benefits along with excellent paid time off, a 403(b) retirement plan, life and disability insurance, and outstanding professional development opportunities.

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 & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Workforce Analyst 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 complex 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 analytics to modeling to dashboards that provide decision support for workforce related issues. Responsibilities : Provide consultative support and ensure consistent reporting, forecasting, and diagnostic analyses of business issues for the organization Work collaboratively with other team members to develop comprehensive yield modeling which supports key priorities through rigorous analysis and scenario planning Measure the effectiveness of HR efforts by using comprehensive set of statistical techniques to conduct complex business analyses. Connect and transform data from multiple HR systems into actionable analysis, dashboards, and forecasts that support the business needs of the HR organization Leverage data visualization skills and tools such as Tableau to translate multifaceted HR analytics data into dynamic actionable reporting Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information Drive process improvement initiatives to optimize HR efficiencies Basic Qualifications : You have deep knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail You have strong data visualization skills including the ability to translate multi-dimensional data into clear and concise storytelling that provides actionable insights You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work You have the exceptional ability to make timely and effective decisions to meet fluid deadlines You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends You can effectively handle and maintain confidential information You have strong working knowledge of SAP administration tools, Microsoft suite (Access, Excel, PowerPoint, Sharepoint, Word, and Project), and proven familiarity with data visualization tools (Tableau) and statistical software (SAS, R) Required Education : BA/ BS in Mathematics, Statistics , or related field  

Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement. The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts. The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team. Provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership. This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau. Position highlights include opportunities to accomplish the following: Responsibilities: Data Analysis and Data Mining (40%) Use statistical methods to analyze fundraising data to identify statistically significant patterns and trends that generate actionable insights Provide high-confidence-level forecasts that allow the business to make informed decisions Perform analysis and interpretation of data to demonstrate fundraising outcomes, within specified timeframes and frequencies Report, Dashboard and Scorecard Creation (40%) Gather requirements, create queries, build reports and dashboards that integrate multiple sources of data, identify actionable insights and conclusions, and translate complex results into simple visualizations that will empower department leaders to take decisive action Develop trend analysis reports that monitor key performance indicators and compares them to internal and external benchmarks and uses this data to assist leadership in decision-making, planning and implementing performance improvement strategies Convene colleagues to share information and best practices. Analyze report results with a focus on explaining changes, inconsistencies and any patters that are identified. Become an established Subject Matter Expert within the Organization (20%) Work collaboratively with Development leadership to understand and design analytical approaches to open-ended strategic business problems and communicates the findings to key stakeholders through reports, presentations, storytelling and thoughtful discussion; Collaborate with the Development leadership team in order to identify trends and opportunities to improve and maximize fundraising revenue Serve as a technical and educational resource to others on fundraising data and benchmarks, modeling, data acquisition and rapid analysis for insight generation Performance Objectives First 1-3 months Demonstrate basic knowledge and understanding of the higher education advancement industry, with particular emphasis on the major gift fundraising component in particular. Demonstrate intermediate level understanding of the t-SQL language, SQL Server Reporting Services and Tableau. Demonstrate basic understanding of the advancement data warehouse. First 3-6 months Demonstrate intermediate knowledge and understanding of higher education major gift oriented fundraising. Assume technical responsibility for the monthly fundraising suite of reports and being transition of existing t-SQL extract – Excel legacy reports to SSRS and / or Tableau. Assume technical responsibility for the existing SSRS based Fundraising Dashboard and all linked reports. First 12 months Demonstrate intermediate knowledge and understanding of the higher education advancement industry. Assume analysis responsibility for monthly fundraising performance analysis. Assume business evolution responsibility for monthly reports and the fundraising dashboard. Why Join Ohio State Advancement Now? In 2016, The Ohio State University concluded the most successful fundraising effort in its history, with contributions from what is believed to be the most donors ever to a higher education campaign. The But for Ohio State Campaign raised over $3 billion from more than 750,000 donors, shattering the goal of $2.5 billion. Ohio State is now six months away from the public kickoff of the next campaign which coincides with the celebration of the university’s 150th birthday. All members of Advancement are part of creating an inclusive culture that inspires an exceptionally diverse and talented team and are measured on their adherence to the following core competencies:  leadership, continuous improvement, teamwork and collaboration, and communication/interpersonal effectiveness. More about Advancement Reporting and Analytics Reporting and Analytics (R&A) is one part of the Business Intelligence and Data Science department totaling 15 full-time staff within Advancement. R&A is comprised of 10 staff members with nearly 100 years combined experience working in the Advancement and Enterprise Reporting professions. We are an extremely collaborative group possessing particular technical expertise in t-SQL, SSRS and Tableau. The larger BI team also then possesses extensive experience in Market Research and Data Sciences. Those groups are similarly collaborative in their approach and give the larger BI team experience in market research and advanced statistical techniques. Finally our in group project manager is guiding us in the implementation of the Agile Project Management approach. Experience Requirements The selected candidate for this position must have demonstrated success in several areas, including: Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience. 5 years’ experience in a data analyst role. Experience with enterprise reporting tools (i.e. MS BI Suite). Two years of experience using SQL with preference to Microsoft T-SQL. 2 years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.). 2 years of experience visualizing and presenting data. Desired requirements include: Master’s degree in Statistics, Business, Computer Science, Economics, Engineering, Mathematics or other quantitative disciplines. Experience in the non-profit fundraising space. Familiarity with statistical algorithms such as linear and logistic regression, decision trees, neural networks, etc. 2 years of project management/consulting experience. Experience working in an Agile SCRUM environment. 2 years’ experience building dashboards. 2 years of experience conducting forecasting models. You Need To Know Aside from the unparalleled benefits of working for The Ohio State University and working in the diverse, smart, safe, fun and growing city of Columbus, Ohio, this opportunity will provide exceptional rewards that arise from working for a land grant institution where you will truly feel the impact of your work. Closing Statement The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status. How to Apply Please click the "Apply Now" button on this page to find out more about University Advancement and apply online. Questions may be directed to Greg Bright, Recruiter, at bright.159@osu.edu .

Who we are: Outlook Amusements, Inc. is not your average company in a ‘ho-hum’ industry.  We are a family of brands focused on developing technology and building connections that enable peace of mind. Our Mission is to be a positive force in people’s lives, and we live it every day.  For the past 20 years, we have connected top-ranked, premier, personal advisors with people world-wide looking to gain self-awareness and a clear life-path direction. This role is based out of headquarters in Burbank, CA. What we are looking for: The Digital Marketing Analyst will be a highly valued member of the Revenue & Analytics team. This role will be the subject matter expert in marketing analytics, especially with using Google Analytics. This role will analyze site behavior and customer conversion funnels KPI’s using various analytics tools to recommend changes and improve performance for the company. This role requires thought leadership and deep analytical horsepower that will drive the innovation and processes that will convert raw data into valuable business insights and strategies. This is a fantastic opportunity to apply an analytics background in helping to guide our company to smart long- term decisions. To be successful in this role and to grow within the company, the ideal candidate for this position should be a passionate, driven, results-oriented individual. As this is a high visibility and high impact position, you will have regular exposure to top management. Some of which you will be accountable for: Manage Google Analytics implementation, including segments, funnels, custom reports, custom dimension, experiments, attribution models and ad hoc reporting. Use data and analytics to optimize marketing throughout the organization for multiple marketing channels/campaigns and across multiple brands/marketing platforms (web, mobile, apps, call tracking). Provide dynamic analysis and outline opportunities to profitably grow sales, spend marketing budgets more efficiently, and track progress towards key marketing strategy and tactical goals. Work directly with marketing and business leaders to identify and understand business challenges, develop performance baselines and design strategies for measurably improving new campaigns/creative/flows/funnels against baselines. Analyze customer/prospect behaviors and KPI’s using analytics tools and make recommendations. Improve campaign performance by implementing A/B testing from end-to-end, including, ideation and design, monitoring and reporting of results. Help manage the tagging infrastructure, which includes source data generation (campaign tagging, page tagging, event tagging) and data capture/filtering (Default Channel Groupings in Google Analytics). Help onboard new marketing partners which often includes setting up campaign tracking, reporting and sometimes Base/Conversions pixels in Google Tag Manager (GTM). We are looking for you if… You’re passionate about all things marketing and analytics. Good vibes, good energy is a must. Our ideal candidate has at least 3 years’ experience in an analytical role with a strong background in data analysis and quantitative thinking, along with a strong ability to interpret results and provide insights. You have experience with designing and setting up A/B test with Optimize, Optimizely, or VWO and campaign/website tagging – experience with Google Analytics 360, Google Tag Manager, Google Optimize, Data Studio, DoubleClick, and any Call Tracking system a big plus. Other qualities that would make you successful in this role: 2+ years of dedicated experience with technical marketing 1+ years of managing Google Analytics for a company. Advanced experience in Microsoft Excel. Able to provide detailed and accurate reporting. Detail orientated and self-motivated with a proven ability to successfully manage multiple projects simultaneously. Experience using data visualization tools Detail-oriented, self-motivated, and an excellent creative problem solver, with a proven ability to successfully manage multiple, disparate streams of work in a challenging, dynamic environment Should be highly analytical and driven by finding key insights from complex data sets Proven ability to execute and promote continuous improvement and to immediately add value to the team Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts Bonus Points if you have the following… Bachelor’s in Engineering, Business/Marketing, Finance, Computer Science, or other technical or quantitative field strongly preferred. Google Analytics Certification. Exposure to mobile app analytics. Excellent planning and organizational skills Solid business acumen and understanding of marketing strategies Ability to develop cross-department cooperation and understanding of optimal solutions proven out by analytic rigor Use advanced data visualization techniques to communicate solutions to business stakeholders What you get: Outlook Amusements has a dynamic, close-knit culture of teamwork and innovation. We know that your success is our success and you make a difference! You'll be part of a team that is serious about business, focused on our customers, and knows how to have fun too! Because we care about the whole you, we offer GROW, our Total Well-Being program, designed to offer convenient opportunities for your personal growth and development. Our comprehensive employee benefits package has been carefully designed to meet your health, financial and retirement wellbeing objectives, including medical, dental, vision, a 401k with a company match, additional add-on insurance plans, paid time off, and additional amenities based on the office you work out of. Outlook Amusements Inc. is an Equal Opportunity Employer. It does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or any other characteristic protected by applicable state or federal civil rights laws.  

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  

GENERAL SUMMARY: The Digital Marketing Analyst, Digital Marketing is responsible for creating data-driven reports and written analysis to inform marketing strategy and optimizations. Marketing analysis experience should include: email marketing, search engine marketing (SEM), social media, and website optimization. Candidates should be able to think analytically and foster strong organizational, problem-solving, and decision-making skills. Embody Dana-Farber's Core Values: Impact; Excellence; Compassion & Respect; and Discovery every day. Add value to the Dana-Farber community by seeking opportunities to collaborate across the Institute. Foster an ethical, positive, results-oriented culture founded on open communication. Responsible for assisting the entire Division of Philanthropy with reaching financial goals. APPLICATION REQUIREMENTS: Cover letter and resume required with application submission. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: Develop and measure the effectiveness of email, digital advertising, and social marketing programs by monitoring and presenting data analysis/recommendations to stakeholders through: Written performance reports incorporating YOY metrics sourced from multiple platforms (i.e. Google Analytics, Luminate Online, Return Path, etc); Attribution reporting and modeling, including marketing conversion attribution and cross-channel attribution; Website usability (UX/UI) reports utilizing heatmapping technology and Google Analytics for website optimizations; Google Data Studio reports presenting accessible and understandable reports for internal clients; Monitor email deliverability KPIs and organic search rankings (SEO); Monitor digital analytics tools for outages and gaps in data collection; Develop improved guidelines and processes for daily/weekly/monthly reports; Manage special projects, as assigned. SUPERVISORY RESPONSIBILITIES: Reports to the Associate Director, Digital Marketing. There is no supervisory responsibility for this position. This individual will work with a variety of individuals throughout the Institute, but the position is primarily self-governing. MINIMUM JOB QUALIFICATIONS: 3+ years' experience developing digital marketing reporting and meaningful analysis for websites, email, social media, and multi-channel campaigns; Proficiency in Microsoft Office; advanced knowledge of Excel, v-lookups, pivot tables, data manipulation, and analysis Bachelor's degree or higher. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Excellent understanding of digital marketing metrics and KPIs for websites, email marketing and deliverability, digital advertising, and social media. Demonstrated ability to extract meaningful analysis from data; Expertise in Google Analytics including ecommerce, event tracking, and Google Data Studio report creation, as well as knowledge of Google UTM tracking and Google Tag Manager functionality; Excellent organizational skills Detail-oriented with a strong track record of accurate reporting; Ability to manage multiple projects simultaneously and meets deadlines; Proficiency in Microsoft Office, particularly Microsoft Excel; Knowledge of email deliverability tools a plus (i.e. Return Path); Knowledge of social media platforms, tools, metrics, and strategies; Strong written and verbal communication skills; Familiarity with web and email production. PATIENT CONTACT: No. WORKING CONDITIONS: Workstation in typical office setting. A quiet workspace will be provided. Works on deadline. DFCI DISCLAIMER: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Requirements are subject to possible modification to reasonably accommodate qualified individuals with disabilities. This document does not create an employment contract, implied or otherwise, other than an “at will” employment relationship.   External and internal applicants, as well as position incumbents who become disabled as defined under the Americans With Disabilities Act, must be able to perform the essential job functions (as listed) either unaided or with the assistance of a reasonable accommodation to be determined by management on a case-by-case basis.   We're hiring!   Learn more   about working in the Division of Philanthropy and view all open positions. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.     PI112257035

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