The Disney Decision Science and Integration (DDSI) consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The DDSI Data Integration (DI) team is looking to fill a Sr. Integration Consultant role experienced in Python, SQL, database design, ETL/ELT implementations, SFTP, AWS S3 and nightly batch processing. Responsibilities: This position will work closely with our MSI, Decision Science, Technology, Client and 3rd party data providers in the development and sustainment of solutions for our client(s). This individual will perform activities such as data requirements gathering, data validation scripting and review, database/schema design and implementation, ETL/ELT data processing from client and/or 3rd party data sources, building and monitoring daily batch update processes, and ad-hoc activities required by the projects. Basic Qualifications: 4+ years of overall technology experience 3+ years of experience and proficiency in SQL (on a variety of database platforms) 2+ years of expertise developing with Python 2+ years of expertise designing and implementing database schemas Experience and proficiency in developing ETL/ELT automated data transformation processes Experience with Github/Gitlab Hands-on experience promoting code and database schemas across multiple environments (Dev, QA, UAT, Prod, etc.) Demonstrated partnering and communication skills; able to shift readily between technical and non-technical terminology depending on audience Experience and proficiency in requirements elicitation and documentation for data processing Experience and proficiency in developing automated data validation test scenarios and scripts Proficiency acquiring, organizing, cleansing and manipulating large amounts of data Proven sense of responsibility and the ability to meet deadlines and handle multiple priorities Preferred Qualifications: Database Administration (DBA) development experience Experience with PostgreSQL or MySQL Experience with project management tools, including Smartsheet and Version 1 Solid understanding of AWS Required Education: Bachelor degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field Preferred Education: Master’s degree in Computer Science, Mathematics, Engineering, Economics, Business Analytics, or other quantitative field

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 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 providers ranging from marketing, web analytics, and consumer devices metrics 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 Basic Qualifications: 2-3 years of experience developing in object oriented Python Familiar with big-data solutions using technologies like EMR, S3, Spark Loading and querying cloud-hosted databases such as Redshift and Snowflake Building data pipelines using Kinesis, Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience with graph-based data workflows using Apache Airflow Required Education: Bachelor’s degree in Computer Science or related field or equivalent work experience Additional Information: This position is with Disney Streaming Technology, LLC, which is part of a business segment we call Disney Streaming Services. Disney Streaming Technology, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

***This position can be based out of one of three corporate office locations: McLean, VA or Memphis, TN or Dallas, TX*** From smartphone capabilities like Digital Key to connected rooms that allow for integrated entertainment, temperature, and lighting controls, Hilton's Global Technology team is responsible for creating the hospitality experience of the future – for our guests, owners, and Team Members. Through innovative technology development and deployment, this team ensures Hilton has the technology needed to support our continued global growth while remaining at the forefront of hospitality technology innovation. What will I be doing? Commercial technology solutions (a.k.a. Commercial Off-The-Shelf – COTS) from third-party vendors support numerous corporate, call center, and hotel technology functions. As the Lead Security Analyst – Commercial Solutions, you will be a technical contributor on Hilton's Information Security, responsible for integrating sound cyber security processes and controls for COTS solutions that handle sensitive data, may impact guest/employee life and safety, and deliver positive guest stay experiences. You will be dedicated and committed to supporting the development, maintenance, and management of processes that provide for initial and ongoing secure implementation of commercial solutions. This includes consistent and repeatable solution security controls. More specifically, you will: Perform timely reviews and assessments of the commercial solution architecture and support service delivery processes that help ensure cyber risks are not introduced due to limitations in technology management, maintenance, and support processes. Integrate commercial solutions into the enterprise technology management and security process (e.g., threat management, logging, patch delivery). Execute the annual Payment Card Industry (PCI) commercial solutions assessments, as well as other compliance driven requirements (e.g., privacy impact analyses). This is a new position at Hilton and will report to a new technical leader that will craft the future approach and direction for the role. What are we looking for? The success in this role will demonstrate itself through the following attributes and skills: Experience developing an understanding of how a solution functions through the review of user documentation and inquiries with the vendor Applied knowledge of base cyber security practices at all layers of the technology stack in the design and/or assessment of commercial solutions: Network Layer: un-trusted network access controls, application firewall rules and vendor remote access Platform: AD, Domain Join, service accounts, COTS solution, platform agent interoperability and patching Devices/IoT: communication requirements and centralized device management Data and Database: Data types stored, processed, transmitted, database accounts and access controls, and secure database connections Application: Application access, role based access to admin and business transactions/functions Experience overseeing multi-functional technology groups comprised of positive partnerships such as solution sponsors, engineers, and support to promote commercial solutions architecture and management practices Prior experience in managing or implementing a commercial solution is desirable To fulfill this role successfully, you must possess the following minimum qualifications and experience: High School Diploma/GED Three (3) years of related experience Travel up to 30% of the time It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: Five (5) years of related experience Certification in CISSP What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

***This position can be located at our corporate office in Dallas, TX or McLean, VA*** Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives. More specifically, you will: Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments. Conduct analysis and highlight significant patterns to increase customer and owner satisfaction. Actively draw insights from data to create new sources of value. Communicate results and ideas to business and technical teams. Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing. Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake. Partner with the Product Teams to understand needs and incorporate findings. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Exceptional problem solving, analytical, quantitative, and statistical skills. Experience in handling multiple contending priorities simultaneously. Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive. To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++ It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Four (4) years of professional experience Experience in IoT analytics model development involving sensors and connected devices Experience in model development involving distributed big data sets (Spark, Scala, Hadoop) Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift) What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day.  And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

Leads the identification of optimal research and analysis methodologies to be used to provide key findings that will address a broad range of complex business questions. Supports advanced analytics/data modeling. Provides technical leadership to data scientists and business stakeholders to define data requirements, perform gap analysis, source and transform data to support exploratory data analysis, and design models. Primary Responsibilities: Leads multiple, high impact data research/analytics projects and programs. Collaborates with and provides consulting to business partners to understand strategic requirements and corresponding needs for insight/information, and recommends optimal research and analytical approaches. Delivers key findings for multiple projects/programs to business leader's and assists with decision making and prioritization of initiatives. Serves as Subject Matter Expert for implementation of new approaches and identification of optimal blend of research/analytic techniques. Provides end-to-end solutions that can tum complex and large volumes of data into 'intelligent data' that can answer critical business questions. Provides leadership in the development of test strategy and measurement plans. Plans, implements, and tracks long-term and short-term data projects. Partners with technology teams to operationalize findings from exploratory data sourcing sprints. Education and Experience: Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM. Or, alternatively, a Master's degree (or foreign education equivalent) in Computer Science, Engineering, Business Administration, Marketing, Mathematics, Statistics, or a closely related field and four (4) years of experience in the job offered or four ( 4) years of experience in ad hoc data mining and predictive modeling to support investment management distribution strategy for CRM. Skills and Knowledge: Candidate must also possess: Demonstrated Expertise ("DE") extracting large datasets for predictive modeling and time series analysis using SPSS for financial distribution center and financial products in Oracle-based Star and Relational databases. DE analyzing data from Oracle-based Star and Relational database CRM systems to identify sales opportunities in financial distribution and financial products, and to measure the results of client interactions in these opportunities with field and phone wholesalers and marketing initiatives. DE developing client segmentation analysis to support multi-channel financial distribution and financial products sales and marketing efforts, including segmenting clients based on different financial products related to channel sales strategy and developing linear and logistic regression models for customer segmentation. DE analyzing and presenting results of financial products sales and marketing to senior executives and making recommendation to marketing and sales stakeholders

Corporate Technology Group (CTG) is seeking a Systems Analyst to define and document requirements for a series of compliance and risk-related IT projects with a focus on retail trade surveillance. The core objective of the project work is to help our sponsors to reduce regulatory risk and protect customer assets. This person will be expected to facilitate requirements gathering sessions with customers, document the requirements, and propose design solutions. A strong candidate will have some background in brokerage-related concepts, machine learning, robotics, and predictive analytics. The candidate must also have experience with the Agile development methodology, project management-related best practices, and leadership. This position is based full time in Smithfield, RI. Primary Responsibilities Understand and document current state business process flows, policies, and procedures. Solicit, understand, and document stories specific to efficiency and strategic initiatives put forth by business partners. Enter data into JIRA and coordinate sprints. Contribute ideas and information to system design discussions Become a subject matter expert on both business flows and our technology platform Partner closely with quality assurance team to transfer knowledge,  document use cases, and test software Oversee and implement process improvement initiatives specific to analysis and design best practices Analyze incident and problem trends specific to assigned projects. Recommend resolutions where appropriate. Facilitate meetings in an organized and efficient manner. Ensure the technology capabilities are responsive to the needs of the business objectives. Why Fidelity? Three consecutive years on CareerBliss'Top 50 Happiest Companies Employees Survey A company that is committed to innovation and being an industry leader by investing in technology More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide Access to top-tier technology platforms, OS, and frameworks Non-traditional benefits like our Concierge Service, Computer Equipment Purchase Assistance Program and profit sharing eligibility Company Culture At Fidelity, you can find it all here.  We reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees' individual differences can contribute to the bright and strong future of our company.  Education and Experience Bachelor degree in finance, mathematics, computer science, information systems, or a related technical field MBA or Masters is a plus. 10+ years working in the IT industry; 5+ years managing application development projects supporting compliance and/or brokerage functions Experience with vendor management and third-party product implementations. Time working with Actimize product and large batch cycles a plus. Experience in querying relational databases and interpreting results. Oracle and pl/sql stored procedures preferred Experience with finance and brokerage related concepts is preferred Skills and Knowledge Strong communication and leadership presence. The candidate must have the ability to present ideas and information clearly and effectively through oral and written channels. Ability to work with stakeholders geographically dispersed across multiple locations (both onshore and offshore). Ability to deliver projects using an Agile development methodology. Familiarity with the agile framework and JIRA is a plus. Ability to work closely with business and technology partners across multiple business domains and providing the appropriate system solutions Working knowledge of business intelligence tools, techniques, and best practices Fidelity Investments is one of the world's largest providers of financial services. Founded in 1946, the firm is a leading provider of investment management, retirement planning, portfolio guidance, brokerage, benefits outsourcing and many other financial products and services to more than 20 million individuals and institutions, as well as through 5,000 financial intermediary firms. Fidelity Investments is an equal opportunity employer.

Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY) The Opportunity We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities. You will: Apply data & analytical skills to help understand how our customers use our products Partner closely with product leadership to define, measure and report on core product and feature metrics Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s) Collaborate with data and business intelligence teams to develop reports and visualization dashboards Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance You have: Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale Deep understanding of statistics, experimental design, and causal inference The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms Passion for technology and consumer products Why StubHub? StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA. Our Values StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences At StubHub, we are: Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub. eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you! Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations. We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment. Primary Job Responsibilities The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience. You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors. Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones. Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers. Required Skills and Experience Bachelor’s degree in a quantitative field, MS/PHD preferred Entry to mid level role. Experience in SQL, relational databases Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus Expertise in machine learning packages Python, R,SAS Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.) Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend). This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy. Qualifications Minimum Qualifications: Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus). Minimum 4 years of experience in marketing, sales or business analytics. Experience with data mining software packages such as R, PYTHON, SAS, SPLUS. SQL and statistical algorithms and modeling. Experience working with large and complex data sets. Experience in predictive modeling and machine learning algorithms. Additional Preferred Characteristics: Effective presentation/communication skills and the ability to interpret and simplify data for others. Communicate conclusions in a clear and sharp manner. Work well independently as well as part of a broad team. Innovative attitude and out-of-the-box thinking. Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel. Inside this Business Group Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide. Other Locations US, California, Santa Clara Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

The project analyst will be responsible for establishing and maintaining planning, tracking, and indicator systems for Intel Federal supporting SDG teams and programs with the goal of improving long term visibility and predictability and enabling data driven decision making. In this role you will be interacting with multiple levels of management, integrating data from multiple domains to create a full product/portfolio level picture. Job Requirements: Ability to perform in a high pressure, detail oriented, environment with multiple weekly deadlines and time critical analyses. Good communication skills with the ability to present complex data and draw conclusions in an easily understandable way. Ability to proactively identify and drive solutions to complex problems. Impeccable integrity. Gathering and analyzing data, then spotting trends and recommending improvements. The successful candidate's responsibilities include tracking progress against plans, developing/publishing metrics dashboards and performing analyses in the areas of critical chain project management, technical indicators and risk management. The candidate will need to understand the technical concepts, systems, development methods and disciplines associated with the defined projects, apply the knowledge to deliverables and leverage it to accelerate project completion. Qualifications: You should possess a Bachelor's degree in Engineering or computer science and have 3-5 years' experience in project controls and/or project management or equivalent experience. Additional qualifications include: Experience with project management processes and methodologies like TOC, Agile, Scrum, etc. Experience with project management software such as MS Project or Prochain Proven multi-level stakeholder management skills, and the ability to quickly build relationships with stakeholders at all levels Strong analytical and problem solving skills Ability to work independently and as a team member Excellent communication skills at both technical and business levels Flexibility and ability to work successfully in a dynamic team environment and cross site/globally Excellent interpersonal skills Proficient in Microsoft* Office* applications Proficient in Excel* pivot tables, formulas, and VBA*, PowerPivot, BI and SQL databases English written and spoken Experience in, and knowledge of, new product development processes (Si design and post si) and product 1lifecycles (IP & SOC) This is an Intel Federal Position This position involves work on a U.S. Government contract which may impose certain security requirements. The government may require that you certify your citizenship status. If you are not a U.S. citizen, the government may require you to pass a security check before you can be approved to work on the project. Please note that any offer by Intel for this position is conditioned upon meeting and/or passing the U.S. Government's security check requirements should the government impose these requirements. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

What you’ll do In partnership with key stakeholder across HR and the business, design actionable metrics & analytics from a variety of different sources. Analyze key metrics on a regular cadence (weekly, monthly, quarterly) and deliver insights in executive presentations Help identify and solve data integrity issues as member of a cross functional team. Support ad hoc requests for analysis for HRBP’s and other executive sponsors. What you need to succeed 5-7 years analyst experience transforming and analyzing people data from multiple sources to drive business insights Run advanced predictive models and statistical analyses using statistical software Excellent communication skills and experience successfully partnering with non – analysts to drive improved outcomes for the business through analytics. Proven ability to perform with a high degree of accuracy and highly confidential data Experience with employee survey design & analysis or Workforce planning a plus. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

This individual is a key analyst and insights contributor on the Account Based Marketing & Insights team. The role will focus on generating new, repeatable and actionable insights for the Adobe Americas business. This position will spearhead and become an expert in Enterprise account engagement score and marketing qualified account measurement efforts. This includes discovering and understanding new and existing data sets, working with engineers to scale repeatable reporting, liaising with marketing and business counterparts, and driving adoption of new measurement frameworks. This role will be responsible for generating strategic insights from the data to help develop test plans, inform audience targeting, and program/media mix and content and creating a feedback loop of performance and strategy from the business partners to the Account Based Marketing Team and recommending strategies to improve Adobe’s understanding of accounts in a scalable way. Responsibilities We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines, is meticulous and detail oriented, and is a self-starter. Cleaning and analyzing data, then translating it into a relatable and easily understood story that resonates with internal stakeholders and external clients. Building internal relationships with key stakeholders to understand business and sales opportunities and needs, developing plans of execution, and ensuring insights and recommendations are readily available. Recommending methods of data ingestion to ensure findings, strategies, and insights that are important to business counterparts are ingested as part of Account Based Marketing & Insights Gathering data in different SQL and Hadoop databases and analyzing large sets of data to identify new trends and insights. Requirements BS/BA in business, marketing, economics, or similar degree preferred 3-5 years in a business analyst or consulting role, working with large, differentiated data sets within varying industries preferred Experience with account based frameworks, measurement and implementation helpful B2B business experience and background in marketing strategies and tactics preferred Proficient in SQL, with a strong understand of relational databases; passionate about data analysis Love for Excel and data analysis and advanced understanding of SQL and database querying Familiarity with Hadoop and unorganized data structures; Joining disparate data sources together for insights and results Passionate for translating data and trends into meaningful insights and stories Excellent written communication skills Excellent time management and project management skills, including building relationships with internal clients to understand requests and building strategic plans to meet those requests Knowledge and hands-on experience with Adobe products (Adobe Stock, Adobe Analytics) preferred At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

Overview We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize our growth efforts. We are looking for a data-driven individual with excellent analytical skills, experience in product conversion and a passion for delivering data-driven insights to join Intuit’s Analytics Center of Excellence for TurboTax. Responsibilities Partners with business leaders (e.g. marketing, product and customer success) to define business strategies, areas of investment, and critical priorities Leads and nurtures a team of talented analysts with a focus on product conversion, key customer benefit metrics, and end-to-end customer experiences Build recommendations by synthesizing multiple types of data, developing assumptions in lieu of data and using external sources to help drive business learnings and strategy development Uses quantitative data gathered with software measurement tools, click streams and drill-downs to develop an understanding of customer behavior and make product experience recommendations Applies statistics-based market intelligence to business issues and formulates recommendations Define, implement and standardize metrics, reports and dashboards leveraging Tableau or other data visualization tools Collaborate both internally and externally to ensure reporting solutions are scalable, repeatable, effective, and meet the expectations of internal customers Take the lead on TurboTax product initiatives by defining useful hypotheses, designing robust experiments, analyzing results, presenting insights to business stakeholders and putting lessons learned into practice Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports leveraging Tableau Pursue data quality, troubleshoot data validation, and see issues to resolution Ensure data collection is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases Qualifications 7-10 years of web analytics or product analytics experience Deep Subject matter expertise with clickstream data and SQL is a must Understanding of complex web ecosystems, best practices and ability to put this knowledge into action Experience with Tableau or another reporting solution a plus Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations Excellent problem-solving skills and end to end quantitative thinking Ability to manage multiple projects simultaneously to meet objectives and key deadlines Outstanding communications skills with both technical and non-technical colleagues Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances. Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Overview The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business. If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team! Responsibilities This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products. Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow) Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Design, implement, and monitor testing to explore new methodologies for our credit strategies Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc. Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones) Have strong sense and direct experience on processing big data systematically and QA work on the final output Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections Excellent communication skills and ability to learn fast Confidence in taking ownership and passion in driving changes in a fast-paced working environment Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

We are looking for an exceptional Technical Program Manager who will support the Data organization at Slack. The Data organization is a highly-cross functional, matrixed team that spans Slack where you will primarily be responsible for facilitating execution and alignment across that organization, and driving large-scale initiatives that span this ecosystem. You are able to fluidly move between business and technical contexts. You understand the business and its priorities and are able to effectively drive strategic cross-functional initiatives that deliver results. You understand technical implementation at a level that enables you to ask questions that clarify priorities and dependencies. You break through communication issues and effectively develop relationships with stakeholders at all levels of the organization, and all facets of the business. You are comfortable communicating in both a technical and business setting, bridging conversations between Engineering, Analytics and business functional teams. Do you use your critical thinking skills to drive successful organizational long-term plans while working on multiple, highly-detailed projects? Do you relish the opportunity to attack big, ambiguous problems? Do you develop methods to help the team get their work done effectively and drive the business to think critically about how to plan and prioritize the work? If this sounds interesting, come work at Slack! We're nice. :) Your Responsibilities: Interface with Technical and Business owners to define strategies, policies and initiatives; then bring them to life by driving in partnership with those stakeholders. Manage cross-functional data-centric programs in a matrix organization covering a range of areas, bridging between Engineering, Analytics and Business functional teams. Develop project plans, resource plans, with accuracy and in collaboration with technical resources Provide hands-on program and project management during discovery, design, development, testing, implementation, and post-implementation phases Provide day-to-day coordination and quality assurance for projects and tasks, deliver projects on time against the agreed-upon critical metrics Drive internal and external process improvements across multiple teams and functions. Requirements: At least 4-6 years experience in an organization running resources, tasks, and workflows in a technical program management, systems engineering and/or project/program management role. At least 2-3 years experience in a program management position partnering with business functions (i.e., Sales, Marketing, Finance, Legal, etc.), driving key initiatives cross-functionally Strong Interpersonal skills, relationship building and experience working in a collaborative environment with diverse cross-functional teams - specifically, bridging technical and business partners. Organizational and coordination skills along with multitasking capabilities to get things done in a fast-paced environment BA/BS etc. are required; MBA a plus. Experience in a fast-growing environment. Detailed oriented, and self-motivated, with strong analytical skills Bonus Points: Experience working with Data and Analytics teams, including Data Warehousing teams a plus You are an active Slack user Strong emoji game You have a get $%&* done attitude and you want to make an impact! Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected. Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver. Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Come do the best work of your life here at Slack.

Slack is looking for interns to work alongside our data scientists for the summer of 2019. These internships are a unique opportunity for those that wish to gain hands-on experience working with data at a fast growing company. You will have the opportunity to join a collaborative group of data scientist who partner closely with Sales, Marketing, and Product to provide visibility into our data, craft narratives, find insights, and provide recommendations. Requirements: Currently pursuing a degree in a quantitative field. Preferred candidates are pursuing advanced degrees in statistics, math, economics, or computer science. Experience using R, Python, or SQL. Excellent communication skills and the ability to tell a complete narrative using data. Ability to connect data analysis to real business problems, in order to impact business performance. Must be graduating December 2019 or later. Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected. Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver. Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Come do the best work of your life here at Slack.