Senior Digital Insights Manager

Scooters Coffee

$90K — $120K *
Omaha, NE 68104In-Person
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in digital analytics or marketing analytics, especially in retail or loyalty programs
  • Hands-on expertise with event-based analytics tools like Mixpanel or Power BI
  • Strong foundation in customer segmentation and predictive modeling
  • Proficient in SQL for data querying and extraction
  • Experience with A/B testing and performance measurement
  • Ability to translate data insights into actionable business recommendations
  • Excellent verbal and written communication skills, aimed at stakeholders

Responsibilities

  • Develop dashboards to track loyalty program and engagement KPIs
  • Use data visualization to pinpoint customer drop-off and refine strategies
  • Collaborate with teams to enhance customer journeys based on data
  • Analyze customer data to identify trends and opportunities
  • Build predictive models to forecast loyalty program outcomes
  • Define customer segments for targeted marketing initiatives
  • Conduct A/B testing to optimize campaign effectiveness

Benefits

  • Remote work flexibility within operational states
  • Opportunity for regular travel to Omaha headquarters
  • Collaborative team environment
  • Focus on continuous learning and industry best practices
  • Hands-on role with significant impact on customer engagement strategy
Full Job Description
Location

This position may be performed remotely, in the United States. Candidates must live in a state where Scooter's Coffee operates coffee shop locations. Scooter's Coffee is headquartered in Omaha, NE. Regular travel to Omaha will be expected for candidates that do not reside in Omaha, NE.

Description

Scooter's Coffee is looking for a Senior Digital Insights Manager to drive data-driven decision making by applying deep analytics, statistical modeling, and customer segmentation strategies to uncover trends, assess loyalty program health, and provide strategic recommendations for improving customer engagement and retention. This role is hands-on, working with event-based analytics platforms and data visualization tools to extract insights and measure program effectiveness, ultimately driving the customer loyalty strategy. The ideal candidate is analytical, detail-oriented, and passionate about transforming complex data into actionable business insights.

Essential Duties and Responsibilities
  • Develop and maintain dashboards and reports to measure key performance indicators related to the loyalty program, digital marketing campaigns, and customer engagement.
  • Utilize data visualization tools and cohort analysis to identify customer drop-off points, optimize engagement strategies, and improve targeted marketing efforts.
  • Collaborate with the loyalty team to shape customer journeys based on behavioral data and insights.
  • Analyze customer and transactional data to uncover trends, behavioral patterns, and opportunities for program optimization.
  • Build predictive models to forecast program performance, discount rate, customer churn, and campaign impact.
  • Define actionable customer segments and behavioral clusters for personalization and targeted marketing efforts.
  • Conduct A/B testing and experimentation to refine campaign strategies and optimize performance.
  • Ensure data integrity and accuracy, troubleshooting inconsistencies in event tracking and reporting.
  • Partner with cross-functional teams to drive data-driven decision-making across the business.
  • Stay up to date with industry best practices in analytics, data visualization, and performance measurement.
  • Perform other duties as assigned to support digital insights and analytics initiatives.


Qualifications
  • 5+ years of experience in digital analytics, marketing analytics, or business intelligence, preferably within brick-and-mortar retail, QSR, or loyalty programs.
  • Hands-on experience with event-based analytics platforms and BI tools such as Mixpanel, Amplitude, Power BI, Looker, etc.
  • Expertise in loyalty program customer segmentation, behavioral analytics, and predictive modeling.
  • Strong SQL skills for querying, data extraction, and analysis.
  • Proficiency in A/B testing, experimentation frameworks, and performance measurement.
  • Experience in translating complex data insights into clear, actionable recommendations for business teams.
  • Strong verbal and written communication skills to present findings to stakeholders.
  • Passion for data, technology, and continuous learning.


Job Level Competencies - P3
  • Possesses comprehensive professional knowledge and expertise; assignments, projects, and programs are of moderate scope or complexity; makes decisions within broad functional or department guidelines
  • Typically contributes to an advanced area of work within a professional field with department impact
  • May be responsible for programs and projects that are moderately complex and/or on a moderately large scale. May participate in cross-functional teams
  • Assists in planning and developing
  • May provide guidance/direction/training to staff
  • Comprehensive knowledge of principles and practices of a particular field of specialization and organization policies, practices, and procedures
  • Applies acquired skills to complete moderately complex assignments or significantly contribute to projects or manage programs
  • Identifies problems and possible solutions for moderately complex situations; takes appropriate action to resolve by applying standard organizational practices
  • Interprets, monitors, and analyzes data to resolve inconsistencies in non-routine research/data
  • Makes decisions within broad functional or department guidelines
  • Exercises independent judgment in determining how work is performed; may communicate issues and progress weekly
  • Recommends exceptions to policy and procedure


Disclaimer?

The functions and skills described here are general in nature and represent the type of work performed, but they do not constitute an exhaustive list of all duties and responsibilities performed on the job. A successful candidate must be able to meet the listed essential duties and physical demands of the position, either with or without reasonable accommodation.

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