21 jobs found

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 .

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Staff Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables real time collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences. Build cool things – Build software across our entire cutting-edge data platform, including near real-time data collection, processing, storage, and serving real-time analytics and other real-time use cases such as recommender systems & segmentation. Lead and coach – Mentor other sr. engineers by developing re-usable frameworks. Review design and code produced by other engineers working across the organization Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery. Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks. Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies. Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous. ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs. Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams. Basic Qualifications : Not your first rodeo – Have 10+ years of experience developing with a mix of languages (Java, Scala etc.) and open source frameworks to implement data collection, processing, and serving technologies in near-time basis. Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services. Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases). Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud. Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning. Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly. Passion and creativity – Are passionate about data, technology, & creative innovation. Preferred Qualifications: Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment. Prior experience in building real-time data collection infrastructure including client SDKs will be a huge plus. Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well. Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes. Experience in working with Data Scientists to operationalize machine learning models. Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share. Required Education : Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience. Preferred Education : Masters in Computer Science or similar is preferred.

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  

Manager , Business Analysis & Sales Operations We are looking for a Manager to lead the business analysis and s ales o perations functions with a team of two for the dynamic and fast-growing Facilities Technology Business. This is a key leadership role reporting directly to the EVP and G.M. of the business and serving as a full leadership team member along with the sales, marketing, and services directors. This position is based at our headquarters in San Ramon, CA. This is a great opportunity to join a fast-growing division and a fantastic company culture . The ideal candidate is very smart, very strong analytically, detailed and process-oriented while having excellent written and verbal communication skills. Responsibilities There are three key functions of this role: Management reporting . Leveraging and expanding upon our Power BI tool, create the monthly management reporting used by the leadership team and presented to the C-suite. Create management dashboards for the directors and other leaders. Management analysis . Work closely with the EVP and G.M. on a daily basis analyzing elements of the business looking for opportunities to improve performance. Many of these analyses are presented to the CEO, COO, and CFO. Sales o perations . While there is separate Salesforce Administrator reporting into marketing who covers both sales and marketing, your role will interface with the sales team on sales pipeline, leads, confirm won deals, etc. Work with finance on any rev rec or billing issues. Work with legal on any legal questions relating to products, tiers, and pricing. Manage the pricing calculator with various updates. Manage commission calculations and pay-outs working with the finance team. The Manager, Business Analysis & Sales Operations will directly manage the Business & Ops Analyst who assists the Manager on marketing campaign analysis and Power BI dashboard creation and maintenance. Skills/Qualifications: Highly intelligent with s trong analytical skills and strong competence in excel/google spreadsheets. Pride in quality and accuracy. Strong ability to learn systems . Knowledge of Salesforce.com and experience with BI Tools (such as Power BI or Tableau) . Strong communication skills. B.S. degree and major in a business or analytical field. (M.S. a plus) Strong understanding of the sales process and working with sales teams 5 + years of relevant experience A team player and hard worker looking for a great environment to thrive pm18 PI112308673

WWE is a publicly traded (NYSE: WWE), integrated media organization and recognized leader in global entertainment with more than 800 employees. Our mission is to put smiles on people's faces. WWE's PG, family-friendly programming is broadcast in more than 180 countries and 20 languages and reaches more than 800 million homes worldwide. WWE's operations are organized around four lines of business – Media Division, comprised of WWE Network, Television, Home Entertainment and Digital Media; Live Events; Consumer Products Division, comprised of Licensing, Venue Merchandise and WWEShop; and WWE Studios. Key Responsibilities: Execute end to end analytical process: from the formulation of requirements, data acquisition, identification of analytical methods, creation/validation of models to business-friendly summarization of results Partner with business stakeholders to develop actionable analytical insights, dashboards, and reports Develop predictive and descriptive models using advanced statistical, optimization, and big data techniques including: multivariate, regression, decision trees/classification, and time series Identify critical business questions to be answered and contribute to developing analytics-driven solutions and KPIs to enable more effective decision making Support ongoing projects including subscription forecasting, marketing effectiveness and tracking, analysis of sales trends, customer segmentation and targeting Create models, KPIs, and dashboards to operationalize outcomes of analytics Monitor the effectiveness of analytical models and ensure accuracy of all data from source to final deliverable through a systematic data quality control process Work in a complex data environment comprising several heterogeneous internal and 3rd party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses Qualifications: 3-5 years of professional experience Passionate about manipulating and analyzing data in order to drive insights and actionable business recommendations Ability to synthesize qualitative and quantitative data and communicate relevant insights and recommendations using presentations, reports and data visualization Demonstrated ability to apply statistical techniques to business problems and to leverage machine learning and predictive analytics where necessary Proven track record of identifying and highlighting key insights, signals, and trends in underlying data Analytical experience: At least 2 years of experience in forecasting and analysis At least 2 years of experience working with a statistical analysis and Python to drive business decisions At least 2 years of experience performing data management, mining, and manipulation Big data platforms (e.g., Redshift, BigQuery, Spark, Qubole) Business Intelligence and Data Visualization tools (e.g., Tableau, Cognos, Qlik) Industry experience: TV, Entertainment, Media, or Sports industry preferred Familiarity with digital subscription business desired E-commerce/online retail a big plus BA/BS degree in a quantitative discipline (e.g., Engineering, Math, Statistics, etc.) MS or MBA degree preferred Ability to write SQL code to query and transform both unstructured and structured data Self-motivated with a "roll up your sleeves" work style and great interpersonal skills WWE is an Equal Opportunity-Affirmative Action employer and is subject to federal regulations pertaining to employment. WWE does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing nondiscrimination in employment in every location in which the Company has facilities. WWE also provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. For information about Privacy and Information Security for WWE employment candidates, please review our Candidate Privacy Policy. For information regarding Terms and Conditions for this and other WWE websites, please review our Terms and Conditions of Use.