Senior Marketing Analyst
$80k - $90kNatural Grocers
Salary Range
USD $80,000.00/Yr. - USD $90,000.00/Yr.
Overview
The Job in a Nutshell:
The Senior Marketing Analyst is responsible for leading the measurement, analysis, and optimization of Natural Grocers' marketing initiatives, customer loyalty programs, digital experiences, and promotional strategies. This role partners closely with Marketing, Operations, Purchasing, E-Commerce, and Executive Leadership to transform data into actionable business insights that drive customer acquisition, retention, engagement, and sales growth.
The Senior Marketing Analyst serves as the primary analytics leader for the Marketing department and oversees the development of reporting frameworks, experimentation strategies, customer insights, forecasting models, and performance measurement systems. This role combines strategic thinking, advanced analytics, and strong business acumen to support data-driven decision making across the organization.
Applications are accepted by the date below, which may be updated if the hiring timeline is extended.
08/11/2026
Responsibilities
Main Ingredients:
Analytics Leadership & Strategy
Lead the development, maintenance and execution of marketing measurement strategies that evaluate campaign effectiveness, customer engagement, sales impact, and return on investment.
Translate complex analytical findings into actionable recommendations for executive and cross-functional stakeholders.
Identify customer, market, and competitive trends to uncover opportunities for growth and marketing innovation.
Reporting & Insights
Develop, automate, and maintain reporting systems and dashboards that provide timely, accurate, and actionable insight into marketing performance.
Manage ad hoc analyses, executive requests, and strategic projects that support organizational priorities.
Ensure data integrity through quality assurance processes, validation against source systems, and cross-functional collaboration with data owners.
Advanced Analytics & Modeling
Apply statistical and predictive modeling techniques to evaluate customer behavior, campaign performance, and business opportunities.
Maintain and improve upon customer segmentation, targeting, retention, and loyalty analytics to improve customer engagement and lifetime value.
Conduct analyses to identify drivers of customer acquisition, retention, churn, and store-level performance.
Testing & Optimization
Design, implement, and evaluate controlled experiments, A/B tests, and pilot programs to measure marketing effectiveness and incremental business impact.
Develop testing frameworks and measurement standards to improve marketing ROI and support continuous optimization.
Partner with stakeholders to implement data-driven recommendations and monitor results.
Loyalty & Digital Experience
Lead analytics and reporting for the {N}power Rewards Program, including monthly reports on customer behavior, engagement, promotional effectiveness, and program performance.
Develop measurement strategies to optimize the Natural Grocers mobile application, digital communications, and customer engagement initiatives.
Evaluate promotional pricing, loyalty offers, and personalization strategies to maximize customer value and business performance.
Leadership & Collaboration
Serve as the marketing analytics subject matter expert and educate stakeholders on analytical best practices.
Mentor analysts and support the development of analytical capabilities across the organization.
Collaborate with analytics, marketing, operations, purchasing, and technology teams to establish scalable data solutions and business intelligence initiatives.
Although this is a general outline of job responsibilities all employees are expected to be “hands on” and do whatever it takes to get the job done and make the company thrive.
Qualifications
Recipe for Success:
Education & Experience
Bachelor's degree in Statistics, Analytics, Data Science, Marketing, Business, or related discipline.
5+ years of experience in analytics, marketing analytics, business intelligence, or related fields.
Experience in retail, loyalty, e-commerce, or customer analytics preferred.
Technical Skills
SQL proficiency.
Experience with Power BI, Tableau, or equivalent visualization platforms.
Experience using R, Python, or equivalent statistical software.
Familiarity with Databricks, cloud analytics environments, or modern data platforms.
Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies.
Business Skills
Strong understanding of marketing measurement, customer behavior, and loyalty programs.
Exceptional analytical problem-solving capabilities.
Ability to communicate complex findings to both technical and non-technical audiences.
Proven ability to manage multiple projects and priorities in a fast-paced environment.
Strong stakeholder management and executive presentation skills.
This job description is not an employment contract. It does not guarantee a job or that the above listed duties are the limit of responsibilities. The job and job description are subject to change with and without notice. Employees are required to accomplish any and all tasks assigned to them by their Manager and/or other Store Support Center manager that might not be listed in this job description.
Physical and Environmental Demands:
N = Never
O = Occasional; 1-33% of time
F = Frequent; 34-66% of time
C = Constant; 67-100% of time
Physical Requirements:
Must have the ability to frequently lift or carry up to 10 lbs and occasionally lift or carry up to 50 lbs.
Must be able to frequently drive automatic.
Must have the ability to occasionally push or pull up to 50 lbs.
Must be able to constantly use the computer for data entry and use of mouse.
Must be able to constantly use fine motor manipulations and reach outward for the duration of the work shift.
Must be able to frequently walk, stand, grip, bend, twist, and turn.
Must be able to occasionally sit, squat, kneel, and reach outward as needed.
Environmental Requirements:
- Must be able to work occasionally with outside, cold, heat, wet, humid, noise, sharp tools/equipment, contact stress, chemicals, dust fumes, vibration and congested worksite.
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