Recommendation Analyst (Product and Marketing Analyst) Direct end client

Job Details

  • ID#37679623
  • Address 28201 , Charlotte,

    North Carolina

    Charlotte USA
  • Job type

    Contract

  • Salary USD Depends on Experience Depends on Experience
  • Hiring Company

    Projas Technologies, LLC

  • Showed04th April 2022
  • Date03rd April 20222022-04-03T03:00:00-0400
  • Deadline02nd June 2022
  • Category

    Marketing/advertising/PR

Recommendation Analyst (Product and Marketing Analyst) Direct end client

Vacancy expired!

This role will be primarily responsible for conducting analysis to quantify and improve the efficiency and effectiveness of marketing channels.A secondary responsibility will be to provide support for monitoring, alerting and triaging revenue causing anomalies. The primary focus will be on owned channels (email, push notifications, in-product notifications). Looking for someone with at least 3-5 years of experience in a marketing or product analytics role at fast-paced, high-growth companies. They should be invigorated by complexity and the larger the data sets are, the more excited they are to work with them. Direct experience owning analytics for email/push/SMS/in-app channels or campaigns are a strong plus. Build addressable list for email and push channelsDevelop channel maximization metricsDevelop channel fatigue metricsComplete ad hoc tradeoff and impact analysisValidation of incoming data versus agreed upon schema and use casesOngoing data validation (manual first, automated afterwards)Reporting of key business metrics: % users matched, data used for X use cases, etcOverseeing A/B experiment setup, execution and reporting across use casesOptimize the performance of the recommendation engine from a holistic level - rather than by vertical or by placementSupport cross-functional business partners by figuring out how our recommendation system can be used to meet business objectivesPredict revenue impact from changes in pricing, underwriting, approval models, and user behaviorWork closely with engineering and data science teams to improve the technology and models that drive recommendationsProvide feedback to the product and design teams on how changes in the product impact our recommendations and give guidance on how to improve that experienceDevelop hypotheses and run experiments around what recommendations drive better outcomes for our membersSupport ongoing analysis and monitoring of revenue funnels across the platformWhat’s great about it:You’ll get to solve highly analytical problems and have a direct impact on the bottom lineThe role is highly cross-functional, which means you get to work with engineering, business development, product, and data scienceThe impact of your work will be highly visible, with the executive team as key stakeholdersYour work will help us design better products, improve user experience, and inform overall business strategyLearn how to use Machine Learning at scale to make billions of predictions each day, with the ability to build your own models to help push the business forwardWhat we expect:8+ years of relevant experienceBS/MS in Business, Economics, Engineering, Math, Stats, or equivalent experienceAbility to problem-solve and understand key drivers of the businessDesire to communicate complex problems in simple termsStrong SQL or Excel skills with the ability to learn R, Python and other analytic toolsInterest in learning about how we make billions of predictions each day using Machine Learning

Vacancy expired!

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