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University Marketing is seeking a disciplined market researcher and thought leader to fill a key role on our Marketing Strategy team. The selected candidate will play a significant part in University Marketing as we continue to grow our audience insights capabilities and formalize an audience insights practice that serves the broader marketing community across the university.  The Senior Director, Audience Insights & Research reports to the Senior Associate Vice President of Marketing for The Ohio State University and defines and drives an integrated audience insights and research strategy and plan to proactively provide a comprehensive view of the market, audiences and the Ohio State brand.  The Senior Director acts as the audience champion for the university, providing strategic consultation and bringing to life Ohio State’s different audiences to fuel audience-centric strategies and marketing plans.  The ideal candidate will be competent as: A sophisticated thought leader who is able to leverage their knowledge and experience to add to the discourse and direction of marketing professionals across the university, with a focus on audience insights, business intelligence, brand health and reputation measurement A disciplined market researcher, both in practices and processes, with distinctive analytical skills, creativity, strategic mindset and keen business acumen A collaborative leader with experience navigating and influencing stakeholders within complex organizations in order to develop strong partnerships at many levels across the university, actively listening and advancing the strategic nature and quality of discussions A solutions-oriented visionary and change agent with the ability to envision and create momentum in building an audience-centric organization and community An experienced team builder with a proven ability to think holistically about team development as well as coach and mentor colleagues across the broader marketing community A proactive self-starter who is comfortable with ambiguity and able to progress multiple priorities/projects The Senior Director, Audience Insights & Research is both an initiator of research and gatherer of research, both inside and outside Ohio State, to synthesize and inform audience and market insights, ensuring efficiency in audience research and insights work across the university.  The Senior Director develops and synthesizes insights into frameworks that inform brand strategy and drive key business decisions across the university in partnership with colleges and units’ marketing efforts.  The Senior Director sources secondary and 3rd party research and manages all aspects of any additional primary research, including partnering with teams to frame problems, designing research methodologies, implementing high-quality data collection and analyzing results.  The Senior Director will translate research findings into clear, actionable insights, and present and evangelize results and recommendations to teams and leadership, utilizing excellent writing, communication and presentation skills.  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 University Marketing University Marketing exists to advance the relevance, resonance and distinctiveness of Ohio State’s brand by leveraging disciplined and modern marketing practices that measurably grow and deepen audience perceptions, including their understanding of and preference for Ohio State.  University Marketing partners with colleges and units across the university and with members of the greater Ohio State community to continuously develop and enhance the Ohio State brand while advancing the university’s strategic goals. Performance Objectives include, but are not limited to: Envision the future state and strategic roadmap of an audience insights and research practice for University Marketing and across the broader marketing and communications community, including development of an audience knowledge repository with dossiers for key audiences Develop and maintain audience experience maps and supporting personas, working in partnership with the Marketing Strategy team and other partners to guide the development of audience-centric marketing strategies, campaigns and brand experiences Develop ongoing brand health, reputation and audience measurement recommendations, including the required research methodologies and toolsets Build collaborative relationships and provide strategic consultation around audience insights and research methodologies with marketing and analytics professionals and other key partners across the university   Required Qualifications Bachelor’s degree preferably in psychology or statistics-related field 10+ years of experience and progressive leadership at a market research firm/agency, research vendor and/or managing research and insights in-house Experience in qualitative and quantitative research methodology and audience insights development Experience in applying statistical design and significance testing, as well as using various statistical techniques such as clustering and regression analyses to improve audience segmentation practices Experience using data visualization tools (e.g., Tableau), statistics analysis software (e.g., SPSS), and other research survey tools (e.g., Qualtrics) Experience in segmentation, brand positioning, messaging, brand tracking, advertising/messaging effectiveness, and syndicated data analysis  Desired Qualifications   Master’s and/or graduate degree Experience managing a market research and/or insights function Experience in leveraging advanced analytics in developing insights and recommendations Experience working in a complex, decentralized and/or matrix organization structure Experience in higher education market research and/or insights, with knowledge of admissions, alumni relations and/or fundraising marketing is a plus 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 this role. Learn more here:  https://hr.osu.edu/careers/ . How to Apply To apply online, please visit:   https://osujoblinks.com/njxy To find out more about University Advancement, please visit:    www.advancement.osu.edu Questions may be director to Greg Bright, Recruiter, at bright.159@osu.edu .  For information about University Marketing, visit http://universitymarketing.osu.edu .   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.    

CIMA: Consumer Insight, Measurement & Analytics (CIMA) is part of the Marketing center of excellence for Disney Parks, Experiences and Consumer Products. CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics team provides analysis across the primary modes used by Guests/clients for vacation discovery, planning, transacting, and management to enable decision making and optimization. A Manager, who is an engineer at heart, is expected to lead projects, develop employees, drive change, and have a passion for learning new technologies that help improve our organization. As the flood of digital information increases, the Manager of Data Services leads a team of engineers to streamline delivery, improve quality and reduce support costs of our data and analytics applications. The Data Services team works within a DevOps culture and agile environment, which seeks continuous improvement for big data analytics and business intelligence. Responsibilities: An advisor and technology authority to the business segments and third parties related to big data analytics, business intelligence and application support & services. Expert negotiator and business oriented person that consistently models strong outward behaviors through a professional presence and thought leadership. A mentor and coach to the technical team ensuring they are properly positioned to succeed. Maintain a spirit of execution and value creation that drives continuous improvement in process, behaviors, technology implementation and delivery mechanisms for all aspects of our data and analytics applications. Design and lead the implementation of highly scalable software systems and applications in a variety of high traffic functional areas such as e-commerce, account management, big data analytics, and business intelligence. Basic Qualifications: 10+ years’ experience in technology disciplines. 3 years or more experience leading a team directly Experience with Hadoop Ecosystem, Docker, Git and Kafka. Experience with Amazon Web Services or other IaaS platforms. Hands on experience with computer programming languages (e.g. Java, Python, and SQL). Ability to contribute to, and balance delivery against, multiple projects/demands simultaneously. Understanding of DevOps, Test Driven Development, Agile Methodologies, SDLC and Continuous Integration. Strong understanding of NoSQL datastores and their applicable use cases. Required Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

As Engineering Lead within our Merchant Operations department you will lead teams who build resilient systems to handle million requests per day without downtime. Your actions have a high impact in making Zalando become the best high quality Marketplace in the Fashion Industry. Ensuring article data quality, handling high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch, your teams optimise the overall merchant experience at an incredible, international scale. WHERE YOUR EXPERTISE IS NEEDED Develop and execute mid- & long-term technical vision and architectural direction to:  Create highly scalable solutions Facilitate collaboration, communication and decision-making between the engineering team, product specialists and stakeholders. You partner with product owners, engineering and architecture teams to influence product strategy and drive the product development roadmap Attract, onboard, develop and retain diverse top talents to your team and transform the landscape of Zalando’s Merchant platform WHAT WE'RE LOOKING FOR A solid background in software engineering with a strong understanding of core priorities, KPI’s and underlying system architecture Significant experience leading and developing cross-functional engineering teams within an international, agile environment. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams Extensive experience in object-oriented and functional programming languages with a profound knowledge of REST APIs and highly distributed, scalable and resilient micro services landscapes You think creatively, are solution oriented, adaptable to change, and have a drive for continuous innovation Responsible for maintaining trustful relationship with your teams, leading them and setting a high standard as an example Keeping business in mind, you are capable of making your teams accountable and responsible for decisions made by providing strong sense of ownership. At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala .  We do have services written in Java, Go, NodeJS, Haskell and many more . PERKS AT WORK Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings Extensive on boarding, mentoring and personal development opportunities and an International team of experts Relocation assistance for internationals, family service and parent & child rooms We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need. ABOUT ZALANDO Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use. Please note that all applications must be completed using the online form - we do not accept applications via e-mail.

Williams College is pleased to announce the opening for a Data Analytics Director . The Data Analytics Director supports the Office of College Relations (OCR), interpreting data to provide actionable insight to inform business decisions for all departments within OCR. As part of the Advancement Operations team, the Director will design dashboards and other visualizations in addition to answering questions that can only be answered with a 'deep dive' into the data. Williams is committed to enriching its educational experience and its culture through the diversity of its faculty and staff. Our expectation is that the successful candidate will excel at working in a community that is broadly diverse with regard to race, ethnicity, socioeconomic status, gender, nationality, sexual orientation, and religion. Applicants should highlight relevant experience with building, working with, and supporting a broadly diverse employee community. Responsibilities Reporting to the Associate Vice President for Advancement Operations, the Director is responsible for data analytics using statistical methods and models to generate graphs, charts, heat maps, and other visualizations to assist end users in understanding the meaning behind the data. In addition, the Director will be responsible for writing and validating complex SQL queries for data mining, design dashboards and clear indicators to communicate complex ideas to leadership, and develop specifications and proposed layouts in partnership with end users. Collaborating with other teams within the Office of College Relations, the Director will work to achieve the highest level of data quality to build and sustain confidence in the reporting and visualization end products. Qualifications Bachelor's degree in Mathematics, Computer Science, Data Science, Information Science, or Statistics, with a minimum of two years technical experience in an office environment; or an equivalent combination of education and experience Innovative, energetic, flexible, and highly organized Operates most efficiently in a collaborative, team-oriented environment Experience with tools such as Tableau, R, or PowerBI preferred Technical expertise creating models to forecast trends and in data mining and segmentation techniques Demonstrated experience handling large and complex data sets Experience with creating data warehouses (lakes, streams, etc.) preferred Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) a plus Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at data visualization and analysis in addition to writing queries, report writing, and presenting findings Strong attention to detail, ability to work in a team environment, and ability to manage multiple concurrent projects Strong written and verbal communication skills Review of applications will begin April 29, 2019 and continue until the position is filled. Employment at Williams is contingent on the verification of background information submitted by the applicant, including the completion of a criminal record check, and education when applicable. Beyond meeting fully its legal obligations for non-discrimination, Williams College is committed to building a diverse and inclusive community where members from all backgrounds can live, learn, and thrive. PI109039250

Supporting the Disney Advertising Sales organization within our new Direct To Consumer & International (DTCI) segment, the Data Science & Analytics team are subject matter experts in each of the following areas: Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things. Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties. We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a data scientist. In this role, you will be responsible for driving improvements across DTCI’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line. Responsibilities: Perform business intelligence analysis and data mining on large, complex data sets to understand user behavior across the portfolio. Help grow a multichannel advertising technology capability by leveraging internal and external datasets to expand our reach within and across platforms. Build predictive models and algorithms to optimize products. Develop new tools, statistical models, and analysis processes to improve how data is used across the organization. Distill and socialize insights across all levels of DTCI, as well as other segments of The Walt Disney Company to help drive decision making. Design, analyze, and present results from controlled experiments to test hypotheses and improve best practices across the organization. Through industry research, ongoing education, and practical experience, become a leading subject matter expert in digital user behavior, monetization, and engagement. Basic Qualifications: 3+ years demonstrable experience driving measurable results (monetization, engagement) with digital products across various business models. Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious) Excellent understanding of statistics and the ability to confidently translate statistical analyses into compelling and actionable recommendations Proven ability in predictive analytics and modeling Strong experience with writing SQL to extract and manipulate data at the source (experience with Hive/Hadoop/cloud data platforms a plus) Experience with R, Python, or other statistical computing packages Experience building complex visualizations (Tableau, Looker a plus) Experience with consumer behavior and insights analysis (transactional and usage) Great communication and teamwork skills Experience working with social and web analytics and publishing platforms (e.g. Facebook Insights and Audiences) a plus Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus Self-motivated with the ability to work independently Required Education: B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)  

This is an exciting new position within IT for the City of Fort Collins.  The selected professional will have the opportunity to come in on the ground floor of creating a new Data Warehouse for the Utilities Service Area. With minimal direction the Data Warehouse Architect will strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability and accuracy for analysts and staff across the organization. This individual is responsible for defining data standards and models for warehouse architectures as well as data quality standards. The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, BI tools and database management systems.  Responsibilities Strategy & Planning Assess and cultivate long-term strategic goals for data warehousing in conjunction with data users, analysts, department managers, clients, and other key stakeholders. Coordinate and work with other technical staff to develop database architectures, coding standards, and quality assurance policies and procedures. Plan and implement capacity and resource expansion to ensure data warehouse scalability. Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets. Acquisition & Deployment Use existing knowledge and conduct research to make recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts. Evaluate, recommend, and collaboratively select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, meta data management tools and business intelligence solutions. Operational Management Work with data analysts within the Utilities’ organization to gather requirements for a data warehouse, data cube, or similar solution. Work with end users and analysts to identify, create, and deliver data structures according to requirements. Develop efficient and accurate ETL methods for efficiently loading the data warehouse, data mart, or other data store. Create models for new data warehouse development and/or changes to existing data stores. Work with analysts to create robust metadata describing the contents of the data warehouse. Work with analysts at the Utilities to determine needed frequency of updating the data in the data warehouse/data mart/cube or other consolidated data store. Design and manage data warehouse improvement and growth projects. Identify inefficiencies and gaps in current data warehouse solutions and leverage solutions. Identify data discrepancies and data quality issues and ensure data consistency and integrity. Diagnose and resolve data warehouse access and performance issues. Install and configure relevant components to ensure data warehouse access. Execute data warehouse configuration and performance tuning. Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements. Ability to learn operational business process quickly. Perform cost estimates for data migration between development, test, and production systems, and from source systems. Plan and coordinate these migrations. Develop, implement, and maintain change control and testing processes for modifications to data systems. Mentor and/or provide leadership to junior members of the team and other stakeholders. Position Requirements Formal Education & Certification College diploma or university degree in the field of computer science, information systems, or computer engineering and/or 8 years of equivalent direct work experience in data warehousing, information engineering, and executive dashboarding. Certifications in database technologies a plus. Project Management Professional preferred Knowledge & Experience Working technical experience with designing, building, installing, configuring and supporting multi-terabyte data warehouses. Significant experience with database platforms, including Oracle, SQL Server, and multi-dimensional data models. Strong understanding of denormalization of data as it applies to data warehousing. Strong understanding of star schema and dimensional tables. Strong understanding of relational database structures, theories, principles, and practices. Hands-on experience with information engineering, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis. Ability to quickly understand in-house data-intensive applications. In-depth technical knowledge of computing environments including servers, and client computing systems. Working technical knowledge of current systems software, protocols, and standards, including best coding practices, ETL best practices, cyber security, and advances in current data warehousing tools. Must have strong demonstrated project management skills that include collaboration and change management abilities. Experience with process flow charting using tools such as Visio. Proven project management experience Strong ability to quickly understand the organization’s goals and objectives. Good knowledge of applicable data privacy practices and laws. Personal Attributes Exceptional analytical, conceptual, and problem-solving abilities. Strong written and oral communication skills. Excellent technical architecture and technical support documentation skills. Strong presentation and interpersonal skills. Ability to work cross-organizationally to understand/document needs of entire organization. Ability to conduct research into database issues, standards and products as required. Ability to present ideas in user-friendly language. Ability to effectively prioritize and execute tasks in a high-pressure environment. Experience working in a team-oriented, highly collaborative environment. Work Conditions Works in office environment Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components. Lifting and transporting of moderately heavy objects, such as computers, devices, and peripherals. The City of Fort Collins will make reasonable accommodations for access to City services, programs and activities and will make special communication arrangements for persons with disabilities. Notice Regarding Medical and/or Recreational Marijuana Use : Because the possession and use of marijuana, whether for medical use or otherwise, constitutes a federal offense and because the City is a drug free workplace, the City will not accommodate the medical use of marijuana and enforces written policy prohibiting working for the City while marijuana is in the body.  The fact that state law recognizes medical marijuana as a prescribed, or otherwise permitted, medication does not alter or otherwise change this policy. The City of Fort Collins is an Equal Opportunity Employer. Applicants are considered for positions for which they have applied without regard to gender (regardless of gender identity or gender expression), race, color, religion, creed, national origin, ancestry, age 40 years or older, marital status, disability, sexual orientation, genetic information, pregnancy or other characteristics protected by law. For the purpose of this City policy “sexual orientation” means a person’s actual or perceived orientation toward heterosexuality, homosexuality, bisexuality. BACKGROUND CHECK/MOTOR VEHICLE REPORT AND DRUG TEST REQUIRED WITHIN 48 HOURS OF OFFER. Note: Some information in your application may be public information under the Colorado Open Records Act.

Do you want to bring your experience and know how to an organization that is excited to build out their data function? We are adding a Digital Product Analyst to our Product Management team. This person will be the team’s data expert and inform product strategy and decision making through holistic data integration, objective data analysis, and actionable recommendations. We are looking for an analyst who is passionate about being the voice of the customer to look at data and recommend improvements for our mobile applications. For this position, we need someone who is excited to develop the dashboards, KPI’s, reporting, and analysis. This is a new position for us so be prepared to not only roll up your sleeves and get your hands dirty but also teach us! In this position, this is some of what you will be accountable for: Perform ongoing data analysis on the current product line as well as upcoming launches by utilizing tools: Mixpanel, Firebase and Google Analytics. Translate data into consumable, actionable narratives; regularly update the organization, including senior leadership. Perform deep-dive analysis on the key drivers of KPI metrics for the department. Bring forth impactful suggestions for products and features that are rooted in data. Develop theories that can be explored with analysis to help us improve. Design split tests, interpret results, and communicate the broader implications. Build strong relationships with teams across the company to understand business objectives and opportunities. Regularly audit our current tools and determine improvements to tagging and reporting. Work closely with the FP&A team to understand the customer flow thru and retention. Monitor and analyze performance through dashboards and provide strategic optimization recommendations. So…what does it take? We are looking for someone with 4 – 6 years of experience organizing, analyzing, and interpreting digital web and mobile data. Because of this you would have a strong background in data analysis and quantitative thinking and be able to provide detailed and accurate reporting. You must have Mixpanel or Google Analytics experience along with an advanced Microsoft Excel skillset. We would love it if you have experience with Optimizely and VWO along with working knowledge or knowledge of R (GNU S), SAS, SQL, SPSS, Python or other data-extraction and analysis tools such as Tableau. Other Critical Success Factors: Be detail oriented, self-motivated, and pro-active An excellent creative problem solver, with a proven ability to successfully manage multiple, disparate streams of work in a challenging, dynamic environment Excellent planning and organizational skills Use advanced data visualization techniques to communicate solutions to business stakeholders Predict and understand customer patterns through metric and statistical analysis Have the objectivity to tell the right story and not skew for benefit 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 Committed to company mission and customers’ needs Communicates thoughts and expresses ideas effectively individually and in a group setting Demonstrates a high level of dependability in a team environment with an ability to gracefully shift priorities to accommodate business requests Who We Are: Outlook Amusements, Inc. is not your average company in a ‘ho-hum’ industry.  We are a family of brands dedicated to developing technology and building connections that enable peace of mind. Our team connects top-ranked premier personal advisors with people world-wide looking to gain self-awareness and a clear life-path direction. We are passionate champions of our customers’ needs, our advisors’ talents and our team members’ goals. We believe that every connection is an opportunity to empower the individual to reach their full life potential. Our Mission is to be a positive force in people’s lives, and we live it every day.  We touch 1000’s of customers each month who seek guidance, insights, direction and reassurance in their lives across our three brands:  California Psychics, Psychic Encounters, and the in-culture Spanish language brand, Conexiones Psiquicas.  This position is in our Company’s corporate headquarters in Burbank, California. What You Get:  When you join Outlook Amusements you get a warm welcoming environment in which each person you meet is interested in your success! Because everyone at Outlook knows 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, on-site yoga classes and subsidized memberships to the on-site gym. 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.

Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry? As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch. WHERE YOUR EXPERTISE IS NEEDED Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands. WHAT WE'RE LOOKING FOR Knowledge and passion on Identity Access Management and Security topics Experience on JAVA and JBOSS Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms) Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods    Passion to learn new and different languages like Golang, NodeJS, Scala, etc. At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala .  But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more .  You’ll certainly enjoy working with us even more if you are motivated to learn. PERKS AT WORK Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings Extensive onboarding, mentoring and personal development opportunities and an International team of experts Relocation assistance for internationals, family service and parent & child rooms We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need. ABOUT ZALANDO Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.

The Disney Parks, Experiences, and Consumer Products (DPECP) group is seeking a motivated Senior User Research Analyst to join the Consumer Insight team that supports the Consumer Products business. The Consumer Insight Senior Analyst will be responsible for supporting and assisting with research studies (qualitative and quantitative) and collaborating with teams throughout the larger DPECP organization. The Consumer Insight Senior Analyst will gather insights to inform product development, retail/e-commerce strategies, and marketing development. Responsibilities:  Assist in the implementation and day-to-day management of custom qualitative research studies from inception to completion Assist the Manager and the larger team across all aspects of qualitative research projects (e.g., focus groups, 1:1 think-aloud, in-depth interviews), including client management, development and review of discussion guides, stimuli management, analysis, reporting, and presentation of research results Support and manage internal ad-hoc requests and business questions by analyzing a variety of data sets (quantitative and qualitative) and communicating key insights Utilize research across syndicated sources/tools to continuously track consumer trends, consumption habits, preferences and behaviors Specific responsibilities include: participating in research design conversations, supporting and/or managing the research process end-to-end (including all product deliverables to ensure the quality and accuracy of testing), data analysis, reporting (including implications), and presentation of findings to key stakeholders (including upper management) Basic Qualifications: 2+ years of primary market research experience required, managing or assisting on custom research (qualitative) and moderating studies Knowledge and experience in the implementation of custom qualitative market research methodologies Experience with project management and data analysis, including the ability to manage multiple priorities, projects, and deadlines simultaneously Strong analytical skills – statistics experience and familiarity with SPSS a plus Able to synthesize a lot of information into a highly visual, concise story (expertise in PowerPoint or Keynote) Professional demeanor and excellent communication skills (verbal and written, including business writing and presenting to others) Demonstrated interpersonal and relationship-building skills Possesses an enthusiastic and positive “can do” outlook, even when under pressure Highly detail-oriented and well-organized - able to work in a fast-paced environment, prioritize, and manage multiple projects simultaneously Self-motivated - able to self-start projects and solicit collaborations Comfortable working within a fluid and flexible culture; adjusts well to change and/or shifting priorities Analytical thinker who has a passion for learning/insights, enjoys problem-solving, and is willing to challenge traditional thinking Some travel required (including running evening focus groups and usability studies) Computer Skills: Word, Excel, PowerPoint, Outlook. Keynote and SPSS experience a plus. Preferred Qualifications: Experience conducting research in a consumer products and/or entertainment or digital company Required Education: Bachelor's degree required; coursework in the fields of Market Research, Communications, Psychology, Consumer Behavior, Human Computer Interaction, Human Factors, English, or Social Sciences preferred

$500 Hiring Bonus Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you! The Position As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities. Why work at EMS? EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number.  We want our agents to succeed! You will need Above average customer service skills Strong written and verbal communication skills when interacting with customers and coworkers Friendly and energetic attitude Computer knowledge and internet skills Ability to navigate between multiple computer screens/tabs Quick learner who enjoys using trouble-shooting and problem solving skills Ability to work both as an individual and as a team member Requirements High School Diploma or equivalent Must be familiar with phone Apps, Internet, Email, and Microsoft Office Previous call center experience preferred, but not required Preferred Associates Degree in technical and/or related field Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office Previous technical help desk or call center experience a plus Variety of shifts available. Availability for 1 weekend day preferred EMS Offers Career advancement opportunities Team work environment $500 hiring bonus Paid on-the-job training Full time schedules Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire Casual dress attire Individual work spaces Complimentary breakfast on Fridays Free parking North-West Omaha location

As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management. WHERE YOUR EXPERTISE IS NEEDED Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business. Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach. Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose. Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando. WHAT WE ARE LOOKING FOR Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. ) Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach. Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker. You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau. Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy. Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline YOU ARE OFFERED Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos. Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location) Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences. Peers. International, accomplished experts and self-organized, autonomous teams. Want to join us? Then go ahead and apply!! Start the conversation. Tell us what the next step in your career could be.  

Provides analytic support and services across the organization. Develops new analytical models and business intelligence solutions in order to provide actionable insights. Works with business stakeholders to model and frame meaningful business scenarios which materially impact critical business processes and/or decisions. Delivers projects related to performance dashboards, advanced analytics, enterprise data management, master data management, and analytic applications using a combination of methodologies. Candidate demonstrates intellectual curiosity, business acuity and attention to detail. Experience with business intelligence tools, data mining concepts, predictive analytic concepts and data integration tools strongly preferred. Candidate will possess, or quickly gain, an understanding of SAP and Microsoft analytic tools as well as an understanding of data modelling and data integration tools and concepts.  Must be able to learn new technologies/concepts and be proactive in applying that knowledge to work.  Candidate will demonstrate excellent communication skills and comfort in leading discussions. Minimum Qualifications MSc in Business, Economics, Mathematics, Statistics, or Computer Science, OR Bachelor’s in Business, Economics, Mathematics, Statistics, or Computer Science (OR the equivalent combination of directly related education and experience in quantitative, business intelligence, and data management analysis), AND Three (3) years directly related subject matter expertise, quantitative, business intelligence and data management skills. Preferred Qualifications Data analysis techniques including segmentation analysis, propensity modeling, and multivariate analysis. Data modeling and database design for analytics and business intelligence solutions. Dashboard design techniques. Strong analytical skills. Intellectual curiosity with the ability to analyze and manage complex problems and design integrated solutions. Ability to effectively communicate complex ideas across all levels of the organization. Work effectively in a collaborative team environment along with the commitment to the overall success of a group. Benefits Complete benefits plan and retirement program. To Apply Interested individuals should start by clicking " Apply Now" on icrunchdata, then complete the online application and submit cover letter and resume by April 30, 2019. AN EQUAL OPPORTUNITY EMPLOYER OF MINORITIES, WOMEN, DISABLED AND VETERANS

Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of: Profitable growth, Improved competitive position, Use of cutting edge methods and forward thinking in development of new products, Maintenance of existing products with a fresh and ever-evolving point of view Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss. Research & Development Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis. Modelers can expect to: Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning) Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python) Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights Assist with research and implementation of technology using machine learning and artificial intelligence techniques Train/coach team members/peers and actively share expertise Identify approaches and tools that can bring efficiencies or needed techniques to the team Communicate/present findings to R&D staff as well as business partners Requirements  Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc. Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc. Robust analytical, critical thinking, and creative problem solving skills Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus. 2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required. S ponsorship is available for this position for candidates who already possess their H1B visa. This position is available in either Wilmington, DE or Independence, OH.

The Department of Health Services Management and Policy at the East Tennessee State University (ETSU) College of Public Health is recruiting for three full-time Research Associates to support and advance its growing research programs. These faculty positions are funded by a multi-year research grant focused on reducing unintended pregnancy and expanding access to reproductive health services. The successful candidates will be responsible for leading and collaborating on data analyses across multiple research projects; development and implementation of analytic strategy; management of large datasets; the application of appropriate statistical methods; interpretation of findings; and maintaining effective communication with project leaders and key partners. These positions will contribute to research planning, manuscript and report drafting, and dissemination of findings. Successful candidates will work collaboratively with an interdisciplinary team of investigators, staff, and research assistants. Priority will be given to candidates with demonstrated skills and experience analyzing claims data, survey data, and/or administrative data. Knowledge, Skills and Abilities Knowledge and experience in quantitative research and evaluation methodologies for the social sciences. Demonstrated ability to use SAS, STATA, or R statistical software packages for data management and analysis. Demonstrated ability to apply appropriate statistical methods for complex research designs involving cross-sectional and/or longitudinal data. Knowledge of relational database management systems and SQL programming. Demonstrated proficiency using computer programs for word processing, presentation, data entry, and data analysis. Demonstrated ability to manage large datasets with data management best practice methods. Demonstrated proficiency in scientific and technical writing and program evaluation. Ability to work independently. Ability to prepare manuscripts and evaluation reports for publication and dissemination. Ability to coordinate multiple resources and tasks. Possess strong interpersonal and verbal communication skills. Ability to work productively with multiple audiences including faculty, staff, and students. Demonstrated ability to work as an essential member of a highly functioning and diverse research team. Required Qualifications (1) Doctoral degree in public health/social sciences, statistics or a related field, or, Master’s degree with 1 – 3 years of work experience applying quantitative research methods; (2) training in research methodology, statistical analysis and scientific writing. Preferred Qualifications Three or more years of experience in research project data management and analysis; record of scientific publications; previous experience in a university environment. AA/EOE

This scope of work includes Big Data Analytics & Machine Learning technology projects delivery across multiple business areas. Information Advantage (IA) team under DPECP Technology is tasked with building Big Data Analytics & Machine Learning capabilities and platform. As a Sr. Manager for that team, you will be responsible for leading the delivery and execution of multiple Data Analytics and Machine Learning projects. Responsibilities: Building and leading multiple development and delivery teams consisting of Product Managers, Data Engineers, Software Developers, Data Scientists and Project Managers. These teams will be a combination of cast members and contractors (onshore and offshore). Directly oversee, mentor, and develop the technical staff and supervise the technical delivery of these engineers and developers. Responsible for technical analysis, effort estimation, product and system design, evaluating architectural fit and compliance, resource schedules, delivery milestones, and overall product quality. Responsible for fostering and developing relationships with business stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently Engage with research and business stakeholders and help drive AI/ML strategies and identify areas where business problems that can be solved in creative ways utilizing data and the power of algorithms Lead and work with other product managers, engineers and data scientists to implement and efficiently scale machine learning solutions that are used to create magical experiences for our guests and push the boundaries of operational goals Drive research and development, proofs of concept, technology currency initiatives, and customer interactions that lead to the development of best-in-class machine learning platforms Oversee operational support and maintenance of products and services delivered by the AI/ML team Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects in machine learning space Manage a variety of diverse - and sometimes conflicting – requests, priorities, and activities. Candidates will need management and communication skills to interact with people at all levels, within DPECP Technology and across the Walt Disney Company. Develop and manage effective working relationships with other departments, groups and staff Ensure that products across DPECP Technology are created in a platform-centric manner. Enforce and grow a culture focused on quality Basic Qualifications: 4+ years of experience leading AI/ML practice/programs and 10+ years of experience in technology especially in data management space. Mastery in at least two high-level programming languages such as Python, Java, or Scala (10+ years) Mastery in SQL and experience with relational, analytical, in-memory, and NoSQL databases (10+ years) Deep understanding of the Product/Technology Platform's underlying Technology stack and its core components - Hadoop, Hive, Spark, Apache Atlas, Kafka, etc Expert level experience with cloud platforms such as AWS, Google Cloud, Azure Expert level experience with ML frameworks: TensorFlow, SparkMLlib, PySpark, Torch, Caffe, H2o, etc Expert level experience delivering production-level online machine learning solutions leveraging large data sets that have led to significant growth or performance improvements Ability to come up with solutions to loosely defined business problems by leveraging scalable architecture patterns Strong systems integration Architecture skills and a high degree of Technical expertise, ranging across a number of technologies with a proven track record of turning new Technologies into Business Solutions Capability to educate the organization both from technical and the business perspectives on new approaches that will drive adoption of the ML Framework Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome Passionate about data, technology, and challenging the status quo Proven experience providing technical mentorship to junior team members Comfortable working in a team environment using Agile methodologies Strong communication, interpersonal skills and fortitude to get stuff done Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems Experience in a large media or technology company. Success at delivering large scale technology delivery projects on-time and on-budget. A comfort level with complex, matrixed organizations containing a certain amount of ambiguity Preferred Qualifications: Master’s degree in computer science or related field/work experience

Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities: Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Coach data engineers best practices and technical concepts of building large scale data platforms Basic Qualifications: 3-5 years of experience developing in object oriented Python Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Redshift and Snowflake Building streaming data pipelines using Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow Required Education: Bachelor’s degree in Computer Science or related field or equivalent work experience