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Reach is the new mobile app and technology platform where consumers partner with brands in an ongoing relationship based on a reciprocal value exchange. Reach is privately held and based in Palo Alto, California and is a company poised for explosive growth.

The marketing data engineer is responsible for consumer, product and brand activity data analysis, loyalty reporting, campaigns analysis; customer in-depth analytics from the primary information database. Data integrity maintenance and performance of customer/brand/product information database. FinTech experience is a big plus.

The individual must design and structure our data systems to enable powerful analytics capabilities. Need strong data engineering/analysis background. Must have a familiarity of the types of research questions that will be relevant for marketing purposes.

Key Accountabilities:

  • Create, analyze and deliver daily weekly, monthly, and seasonal standardized consumer activity reports loyalty reports and dashboards for brands and products.
  • Heavy product analysis: how users are interacting with our product. Using data to improve consumer acquisition, engagement with brands, and retention of consumers. Using data to influence consumer behavior.
  • Provide consumer and loyalty analytics projects for brands, including member segment-based KPIs, lifecycle analysis, multichannel response to Loyalty programs, earning and burning of points, etc.
  • Assist consumer and Loyalty campaigns brand reporting, and to support list selections, ordering prospect names, setting up test and control groups.
  • Perform in-depth analysis for in-house and external brand Loyalty campaigns and initiatives.
  • Support in designing and tracking brand Loyalty goals for the program and the field organization.
  • Perform ad hoc analyses to answer business questions for Marketing and other departments including development of reports and surveys.
  • Maintain an active role in the consumer, brand, CRM and Loyalty database system, data quality and integrity and any related development project.
  • Support any data extracts between brands, partners and internal IT for data integrity and accuracy.
  • Support and coordinate market research activities, surveys and focus groups to analyze member purchasing patterns and preferences.

Preferred Experience & Technical Proficiencies:

  • Strong FinTech or Banking background preferred
  • Experience within the Marketing function strongly preferred
  • Proficiency in Power BI strongly preferred
  • Bachelor’s degree (or higher) in Statistics, Finance, Marketing, Economics, Engineering or Computer Science.
  • Needs familiarity with the modern data analytics stack.
  • 2+ years of experience with direct-to-consumer brand, product and/or loyalty database management, analytics/reporting
  • Strong communication, critical thinking and analytical skills
  • Ability to develop effective communication, including presentation decks, and reports
  • Proficient in Excel and PowerPoint
  • Must be organized, detail oriented, flexible, and able to prioritize multiple projects with short deadlines

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