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Publishers Clearing House (PCH), with offices in New York City and Jericho, is looking for a Senior Analyst Marketing Insights who is passionate about providing strategic and analytic insights to drive customer engagement, monetization (LTV) and business growth. The ideal candidate will have a strong understanding of CRM and Digital analytics with proven ability to transfer data into actionable insights to optimize campaign response, site engagement/conversion, audience targeting-segmentations and activation through owned channels (email, website, app). Key areas of responsibility includes insights, reporting, and A/B testing.

As a member of the Analytics and Insights Team you will partner with marketing leaders to influence business strategy and optimize program performance across the PCH digital platforms. You will serve as the subject matter expert for customer data and insights for the business. The primary measure of success will be the ability to synthesize well-focused and actionable recommendations from business questions and analytics skills to deliver these with clarity and speed.

Job responsibilities include but are not limited to:

• Partner with business to provide actionable insights and recommendations to drive customer engagement, margin and LTV impact through owned channels including email, push and cross promotional strategies
• Perform deep dive analyses into specific KPIs to understand the underlying influences and factors driving business and implement GTM actions to optimize performance
• Evaluate A/B test results to optimize 1:1 campaign levers translate results into well documented insights and recommendations (i.e., audience, offer, creative, product, price-promo, cadence, timing, retention, cross-sell etc.)
• Partner within analytics and business counterparts to measure and optimize campaign targeting strategy
• Identify standardized reporting requirements, monitor the reporting implementation, and evaluate post-campaign performance
• Share insights and findings to senior executives across analytics and marketing departments

Requirements

• Bachelors Degree in Quantitative field; Finance, Analytics, Statistics, Economics or related field; MS/MBA preferred
• 3+ year relevant experience
• SQL and Google Analytics wiz / expert
• Knowledge of cloud and big data platform and tools (e.g., GCP, big-query, Hadoop, Python/SAS)
• Knowledge of a reporting / BI tool such as: tableau, Data Studio
• Have applied knowledge and experience Google Analytics including tagging and web data analysis
• Knowledge of testing-experimentation setup (A/B) and statistical techniques for measuring effectiveness of marketing, sales, and merchandising
• Understanding of analytical processes including but not limited to data management, forecasting, optimization, predictive analytics and visualization
• Experience with multi-channel ecommerce or digital media is strongly preferred
• Superior Excel and PowerPoint skills

Benefits

Publishers Clearing House (PCH), headquartered in Jericho, NY, and with offices in NYC, Portland, ME, and Austin, TX is a leading direct-to-consumer company offering a broad range of products, digital entertainment services to consumers as well as customized solutions for advertisers. Our continued success in todays new digital publishing environment is built on PCHs unique, free-to-play, chance-to-win value proposition, which enables individually personalized offers based on the trusted first-party relationship we maintain with millions of consumers and is fueled by the excitement of the Publishers Clearing House brand.

Join our winning team and apply today!

This position is based in Jericho, NY with the ability to work remotely up to 3 days a week. Candidates must reside in the NY tri-state area

PCH is an Equal Opportunity Employer

The salary range for this position is $75,000 - $110,000 per year. The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified. When determining exact compensation, several factors may be considered (e.g., years of relevant experience, education, skills, and budget).