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As a Digital Media Analyst within the Analytics team, you will be responsible for leading the collection, analysis and interpretation of media to track the success of Ad Council campaign communications across digital media products and channels. You will capture and report on campaign results, from which you will generate cross-campaign learnings and insights. You will build out disciplined measurement plans based on campaign objectives and KPIs; capture and report on campaign results; and develop learnings and insights. You will be the liaison between the Media, Ad Operations, Digital, and Analytics teams to ensure we have proper campaign measurement in place for all digital marketing efforts. In this multifaceted role, the Digital Media Analyst is strong in quantitative analysis, enjoys data mining, possesses effective data visualization and storytelling skills and grasps digital media measurements. You have a talent for taking disparate data sources, structuring them, and finding valuable insights. Automation and optimization of data management processes allow you to scale these efforts across Ad Council's 40 national social good campaigns and 375 digital media partners. Proven experience with Google Ads, DoubleClick and Google Analytics is required, as is a thorough understanding of and experience with the analytics process (data collection, reporting, insights generation and optimizations) The Digital Media Analyst position is in our New York City office and reports directly to the VP of Analytics. ROLES AND RESPONSIBILITIES: Serve as the primary point of contact for digital media support inquiries and requests post campaign launch, including tracking impression delivery, reporting, assisting with optimization and reconciling delivery discrepancies. Responsible for data collection, performance reporting and analysis of all campaign digital media tactics including search, display, online video, mobile, gaming and social. Work closely with functional groups to define data collection requirements and ensure results are measurable and actionable Regular monitoring and analysis of the performance of a portfolio of campaign websites via Google Analytics Develop benchmark performance across all digital products and channels Keep a pulse on the latest measurement methodologies to measure efficacy of campaigns across digital marketing channels Your Day-to-Day Management of databases Build and maintain internal and external data feeds on digital media/campaign results (e.g., DoubleClick, Google Ads, Facebook, Google Analytics, reporting directly from media partners) Data cleansing and consolidation to build out and automate reporting templates Develop and maintain automated ETL processes Resolve discrepancies with data Collaborate on taxonomies and creative ID process across all creative assets ingested into media platforms Identify development needs in order to improve and streamline media analytics operations Reporting and analysis Communicate cross-functionally on reporting needs Update and enhance existing campaign dashboards and build customized visualizations through Tableau to illustrate campaign performance Summarize advertising measurements such as reach and frequency, engagement rate, viewability, and fraud Curate actionable insights and recommendations on and across media partnerships The ideal candidate will be: Knowledgeable of all digital media channels Self-starter who is extremely detail-oriented Familiar with AdOps and tagging/trafficking Proactive in nature and eager to learn all things data and digital Inquisitive and interested in discovering the “why” behind data Responsible for ensuring the highest integrity of deliverables Have an innate curiosity for processes improvements and continually strive to be better Demonstrative of our core values: we are bold, we embrace our differences, we are empathetic, we strive to be our best selves, and we focus on impact. QUALIFICATIONS/REQUIREMENTS: 2-5 years of experience in digital marketing/analytics Strong proficiency with Google Analytics and DoubleClick; experience with Google 360 suite a plus High level understanding in viewability & invalid traffic Strong Excel skills required; pivot tables a must Understanding of online advertising planning, buying and performance metrics Experience in Tableau or other BI tools is a plus Must be technically-savvy, detail-oriented Must have strong communication and presentation skills, and work well within a collaborative team environment Comfortable with ambiguity and ability to manage multiple projects at the same time AD COUNCIL: The Ad Council is where creativity and causes converge at scale. We are a New York-based national non-profit organization, bringing together the brightest minds in the marketing, media, advertising and tech industries to create changed around the most critical social issues facing our country. The Ad Council initiates, produces and activates communications campaigns that drive awareness and behavior change, creating a lasting impact on American life. We produce content that ignites new ideas, increases the health, education, and safety of our nation, and literally saves lives. We are behind the iconic social good communications programs featuring Smokey Bear, "Friends Don't Let Friends Drive Drunk" and the viral campaign "Love Has No Labels" that celebrates diversity and promotes inclusion. We work hand in hand with the leading non-profit organizations, government agencies, corporate brands and media companies to develop over 40 national social good campaigns each year including Suicide Prevention, Gun Safety, Bullying Prevention, STEM for Girls, Pet Adoption and Texting and Driving Prevention. The Ad Council team uses all the tools in communications arsenal including developing PSAs and social media content, engaging talent, gaming, conducting media relations and grassroots marketing, and creating chat bots, digital and live events to raise awareness around social causes. We also have the opportunity to work with our Board of Director companies such as Amazon, Facebook, Google/YouTube, Vice and R/GA to leverage the latest tactics, tools and platforms that will have the most significant social impact. To learn more about the Ad Council and its impactful campaigns, visit www.adcouncil.org, like us on Facebook, follow us on Twitter or view our PSAs on YouTube. At the Ad Council, we value and celebrate the unique characteristics and perspectives that make each person who they are. Diversity is the foundation of our work and allows us to reimagine how we reach our audiences. It is not simply our belief, but our duty, to cultivate a team that is representative of the American people. Only then can we drive true, measurable, and life-changing impact on the most important issues facing our country today. The Ad Council is an Equal Opportunity Employer. Qualified applicants will be considered for employment without regard to race, creed, color, citizenship status, religion, sex, sexual orientation, gender identity, marital status, age, national origin, genetic information, status as an individual with a disability, status as a protected veteran or any other legally protected status. Contact Us: The Ad Council invites all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation for any part of the application or hiring process, please contact please submit your request through one of the following methods listed below: Fax (212) 922-1676 or US Mail to the Advertising Council Attn: Human Resources 815 2nd Avenue; 9th Floor New York, NY 10017 EEO is the Law   PI116103264

WHAT YOU’LL DO  As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.  In this role you will:  Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.  Solve complex data problems to deliver insights that helps our business to achieve their goals  Create data products for analytics and data scientist team members to improve their productivity  Advise, consult, mentor and coach other data and analytic professionals on data standards and practices  Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions  Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team  Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes  Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.  Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics WHO YOU ARE  Bachelor’s Degree  5 years of experience working in data engineering or architecture role Expertise in SQL and data analysis and experience with at least one programming language Experience developing and maintaining data warehouses in big data solutions  Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka Experience working with BI tools such as Tableau, Power BI, Looker, Shiny  Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.  Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Passion for agile software processes, data-driven development, reliability, and experimentation  Experience working on a collaborative agile product team   Excellent communication, listening, and influencing skills  WHAT’S NICE TO HAVE  Bachelor’s degree in Computer Science, MIS, or Engineering  7+ years applicable work experience Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space  Experience in Python or Scala  Big Data development experience using Hive, Impala, Spark and familiarity with Kafka  Familiarity with the Linux operating system   Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase Knowledge of Data Preparation, Data Wrangling, and Feature Engineering

WHAT YOU’LL DO: In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions. In this role, you will: Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers Engineer new features by using your business acumen to find new ways to combine disparate data sources Collaborate, coach, and learn with a growing team of experienced Data Scientists Stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication & collaboration skills to understand business partner needs & deliver solutions Bias for action, with ability to deliver outstanding results through task prioritization & time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc. Experience in digital marketing environment e.g. ad servers, web analytics, bid management Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization Experience working in business to consumer marketing Experience using data to tell a story and influence business decision makers

WHAT YOU’LL DO: To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. In this role, you will: collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers engineer new features by using your business acumen to find new ways to combine disparate data sources love to collaborate, coach and learn with a growing team of experienced Data Scientists stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.  

WHAT YOU’LL DO: As an Analytic Architect, you will be responsible to drive the discovery, design and execution of a wide variety of analytic technology solutions. The Analytic Architect will provide leadership, strategic decision-making, and guidance within technical disciplines, responding to disruptive analytic technologies and solving unique and complex problems. S/he researches, architects, and defines Analytic, Advanced Analytics & Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals. In this role you will: Design end to end analytic workflows, including overall architecture, capabilities, platforms, tools & governing processes Create, maintain & communicate positioning/go-forward strategies for analytic capabilities/tools Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc. Help define/improve best practices, guidelines & integration with other enterprise solutions Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines Create & evolve analytic technology roadmap, to align with continuously evolving business needs Monitor technology trends & performs discovery of any new tools/capabilities of interest Benchmark analytic capabilities with Industry analysts and other companies Own strategic technology relationships with technology vendors & external communities/partners Lead education & training for analytics community WHO YOU ARE 10 years of experience demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions 5+ years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating point-of-views, technology roadmaps, process diagrams Hands-on experience working with open-source analytic technologies like R/Python, Kubernetes, Tensorflow and/or BI tools like Tableau/Power BI and data architecture concepts (OLAP, etc.) Experience in Agile Development, with specific Solution Architect (or similar) experience preferred Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.) WHAT’S NICE TO HAVE Cloud analytics platform experience preferred

External Job Description Description - External Research Analyst Economic Research Department Performs supporting economic research at an intermediate level. Prepares analysis in support of department projects. Uses database knowledge to compile statistical data and prepare reports and forecasts. Develops recommendations and presentations on topics studied. Contributes to multiple research teams. Possesses and applies broad knowledge of analytical concepts, practices and procedures to accomplish moderately difficult assignments. The level of work is considered intermediate and staff work under general supervision. This job has no direct reports. Principal Duties and Responsibilities Collaborates with analysts to define user requirements and conduct design review for the development of basic to medium of complexity applications using client server and/or Web technologies Develops basic to medium level of complexity Web and/or client server applications Assists in providing all required customer service and training for automated systems Resolves basic to medium level of complexity automation and/or data problems Identifies opportunities for process improvements and proposes solutions Performs analysis and projections of financial, economic or demographic data Compiles data, and prepares written reports, graphs and charts Conducts market research, trend analysis and prepares forecasts Uses and designs new analytical models, databases or applications Develops a variety of written materials for various audiences Frequently contributes to project teams Performs other duties as requested Education and Experience Bachelor's Degree or equivalent experience as noted below; major in economics, business, finance, or public policy preferred Minimum of 2-3 years of experience Knowledge and General Skills  Strong analytical and problem solving skills  Strong written and oral communication skills  Exceptionally strong interpersonal and teamwork skills  Demonstrated project management skills  Able to work on multiple projects at one time  Knowledge of business practices and statistical methods Specific Technical Skills Advanced MATLAB programming. Intermediate Stata, R, and Python programming. Intermediate SQL and Database Management. Intermediate LaTeX. Version Control and Test-driven development. Experience with Bloomberg, Haver, FRED Other Requirements Applicants must be U.S. Citizens or hold green cards with the intent to become a U.S. Citizen. As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules, which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies. If you or your spouse/domestic partner or minor child own such securities, and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting, who can provide you contact information for our ethics official if necessary. 

Sr. Data Analytics Consultant The Ohio State University Columbus, OH  Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement. The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts. The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team. The Sr. Data Analytics Consultant provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership. This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau. Required Qualifications: Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience. Five years of experience in a data analyst role. Experience with enterprise reporting tools (i.e. MS BI Suite). Two years of experience using SQL with preference to Microsoft T-SQL. Two years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.). Two years of experience visualizing and presenting data. If interested, please click the "Apply Now" button on this page. 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.