Associate, Brand & Consumer Marketing Analytics
Posted: April 05, 2017
Reference ID: 729510563
Senior Associate, Brand & Consumer Marketing Analytics
LinkedIn strives to create economic opportunity for every member of the global workforce. LinkedIn's Marketing Analytics team invents & manages data science-driven products to empower LinkedIn's marketing teams to be more productive and successful, and we are seeking a full-time senior associate.
This person will combine their skills with statistics, data tools, programming, and business to drive LinkedIn members' engagement. With over 500 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
LinkedIn is passionate about providing the resources our employees can use to transform themselves, the company, and the world. Successful candidates will exhibit technical acumen as well as creativity and passion for data science and marketing. You will be responsible for informing strategy and decisions and building the data and data tools to empower and innovate for our brand and consumer marketing teams, so they may, in turn, help our members be aware of and realize the great value Linkedin offers.
Responsibilities Work closely with other marketing analytics staff and our business partners in Brand Marketing, Communications, and Product Marketing to empower their programs with data, analysis, and results Analytics for marketing strategy, targeting, generating dynamic marketing content, A/B test design, and downstream impact measurement: all to drive informed business decisions and member value Analyze, mash-up, and mine massive amounts of data to extract useful business insights Build machine learning models to discover lift opportunities in our engagement metrics Design & build business KPI dashboards and data visualizations to create leverage from the data Create and refine the necessary data architecture to support the visualizations & insights Design-in analysis efficiency using data workflows, automation, and tools Develop stories & presentations based on the analysis and drive business decisions
Basic Qualifications BS or MS degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Engineering, or related technical field 2+ years of industry analytics experience ideally within marketing areas such as brand, social, segmentation, consumer marketing, engagement, customer research, customer satisfaction, web analytics, attribution, funnel & marketing metrics Experience using data and analysis to inform & execute on marketing campaign strategy, instrumentation, test design, and downstream analysis Real-world experience using R or Python for data preparation, analysis, and machine learning Extensive experience working with SQL - basic to advanced Experience with Tableau, MS Power BI, or other data visualization and dashboard tools Experience with A/B testing and related statistical concepts Experience beyond the descriptive analytics, looking for predictive and prescriptive Passionate about understanding customers and their needs. Customer-first attitude. Passionate about empowering marketing teams to have impact on the business
Preferred Qualifications 3+ years of industry analytics experience ideally within the marketing areas listed above Experience with brand marketing & social media campaign attribution Experience in the analytics for multiple marketing channels, including email, social media, ads, SEM Experience in quantifying the connect between your company's value and customer needs Experience with ETL, building data workflow and data visualization automation Experience with Hadoop, Hive, Pig and data workflows Drive and discipline to do hard things Strong communication skills. Can transform complexity into clarity for business partners. High bar for data quality and results quality Creative, collaborative, tenacious and resourceful
This position is intended for experienced candidates with industry experience. If you're a new college graduate, please check our Student Careers page (https://studentcareers. . /) for positions that are more appropriate to your background. "