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Linkedin

Business Analytics Associate, Marketing Analytics
San Francisco Bay Area, US - Information Technology and Services, Internet
Business Analytics Associate - Marketing Analytics

LinkedIn strives to create economic opportunity for every member of the global workforce. LinkedIn’s Business Analytics team invents & manages data science driven products to empower LinkedIn’s internal teams to be more productive and successful, and we are seeking a full time associate. This person will combine their skills with statistics, data tools, programming and business to drive LinkedIn’s member engagement, in partnership with our Market Research and Brand Marketing teams. With over 364 million active members around the world, a focus on a great user experience for our members, and a mix of B2C and B2B initiatives, 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 business. You will be responsible for informing strategy and decisions as well as building, measuring, understanding and continuously improving our customer listening programs and their impact on our products & user experience. Ultimately, you will develop data-driven product solutions that drive LinkedIn’s mission to connect our members with professional growth & opportunity.

Responsibilities

• Work closely with other business analytics staff and our business partners in Market Research and Brand Marketing to analyze member engagement data, survey data, interview data, and user activity or behavior data to drive informed business decisions
• 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 (typically using Decision Trees and/or Bayesian Networks)
• Design & build business KPI dashboards and data visualizations to be leveraged by our internal partners
• Create and refine the necessary data architecture to support the visualizations & insights
• Build-in efficiency using data workflows, automation, and tools
• Develop stories & presentations based on the analysis
  

Basic Qualifications

• BS or MS degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Engineering, or related technical field
• 1+ years of industry experience ideally within marketing areas such as segmentation, customer engagement, customer satisfaction, web analytics, attribution, funnel, marketing metrics
• Real-world experience using R or other scripting language for data prep, analysis, and machine learning (e.g. decision trees, Bayesian networks)
• Experience working with SQL
• Experience with Tableau or other data visualization and dashboard tools
  

Preferred Qualifications

• 2+ years of industry experience ideally within marketing areas such as segmentation, customer engagement, customer satisfaction, web analytics, attribution, funnel, marketing metrics
• Experience conducting driver analysis for NPS score or other customer feedback metrics
• Experience with brand marketing campaign attribution and ROI
• Experience with ETL, building data workflow and data visualization automation
• Experience with Hadoop, Hive, Pig
• Programming skills: Experience building data products or web apps with with Java, Python, Perl, PHP or Javacript
• Drive and discipline to do hard things
• Strong communication skills. Can transform complexity to clarity for business partners.
• High bar for data quality and results quality
• Creative, collaborative, tenacious and resourceful

No salary provided

Posted May 28, 2015 at 02:38AM from LinkedIn http://ift.tt/1GFxLgL
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