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Archetype Jobs in Michigan (NOW HIRING)

Archetype information

See Michigan salary details

$9

$13

$16

How much do archetype jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for archetype in Michigan is $13.44, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $13.85 per hour, depending on experience, location, and employer.

What is an archetype?

Archetypes are universal, recurring symbols, themes, or character types that appear across literature, art, mythology, and psychology. In storytelling and psychology, they help us understand patterns of human behavior and the roles people play. Common examples include the Hero, the Mentor, and the Villain. Archetypes are used by writers, artists, and marketers to create compelling characters and narratives that resonate with audiences.

What is the difference between Archetype vs Graphic Designer?

AspectArchetypeGraphic Designer
Required CredentialsTypically a portfolio, design software skills, sometimes a degree in design or related fieldPortfolio, proficiency in design tools (Adobe Creative Suite), often a degree or certification in graphic design
Work EnvironmentCreative agencies, marketing departments, freelance settingsDesign studios, advertising agencies, corporate marketing teams
Industry UsageUsed broadly in branding, marketing, and creative projectsSpecialized role focused on visual communication and branding

Archetype refers to a conceptual or symbolic model used in branding and storytelling, while a Graphic Designer is a professional who creates visual content. Both roles require creativity and design skills, but Archetype is more about conceptual frameworks, whereas Graphic Designer focuses on producing visual assets.

What are the career archetypes?

Career archetypes are broad categories that describe common patterns of work styles, motivations, and skills across different professions. They help individuals understand their strengths and preferences, guiding career development and job choice. Examples include the Creator, the Caregiver, the Expert, and the Leader, each with distinct traits and typical work environments.

What are the key skills and qualifications needed to thrive as an archetype, and why are they important?

I'm sorry, but 'Archetype' is not a recognized real-world professional occupation.

What are some common challenges faced by archetypes in brand strategy teams, and how can they be addressed?

Professionals specializing in archetype work within brand strategy teams often encounter challenges such as aligning diverse stakeholder perspectives and ensuring the chosen archetype resonates authentically with the target audience. Balancing creative vision with market research can be complex, requiring strong communication and facilitation skills. To address these challenges, it’s helpful to foster open dialogue within cross-functional teams and to ground archetype development in data-driven insights while remaining adaptable to feedback throughout the branding process.
Infographic showing various Archetype job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $27,953 per year, or $13.4 per hour.

Pricing and Promotion Strategy Analyst

Meijer, Inc.

Grand Rapids, MI • On-site

Full-time

Posted 21 days ago


Meijer rating

6.3

Company rating: 6.3 out of 10

Based on 1,636 frontline employees who took The Breakroom Quiz

18th of 39 rated national retailers


Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!
Meijer Rewards
  • Weekly pay
  • Scheduling flexibility
  • Paid parental leave
  • Paid education assistance
  • Team member discount
  • Development programs for advancement and career growth

Please review the job profile below and apply today!
The Pricing & Promotion Strategy Analyst is the analytical engine that enables the Pricing & Promotional Strategy Partner team to execute Meijer's Elevate strategy at the category level. This role owns the data assembly, integration, and analytical outputs that Strategy Partners depend on to lead category deep dives, develop Golden Rules, co-own promotional calendars, and influence merchant decisions across Fresh, Grocery, HBC, and Hardlines/Softlines.
The role maintains the Price Architecture framework, tracking AUR performance against tier and profile targets, and supports promotional effectiveness analysis. Success requires data proficiency, the ability to work with high-volume multi-source retail data, and a consistent commitment to data accuracy and timeliness-so Strategy Partners can action on data insight.
What You'll Be Doing:
  • Own the deep dive data framework: assemble, merge, and clean item-level pricing history, promotional events, competitive observations, basket penetration, and vendor funding by SKU for assigned category waves.
  • Maintain structured data that Strategy Partners use to enter each deep dive, ensuring inputs are current, validated, and item-level before analysis begins.
  • Identify and resolve upstream quality issues-mismatched SKU mappings, missing competitive observations, duplicate promotional records-before they surface in merchant-facing outputs.
  • Maintain data pipelines across multiple parallel category waves at different stages of the deep dive process.
  • Synthesize item-level pricing, promotional history, competitive positioning, basket penetration, and vendor funding into a complete category picture before any recommendation is made.
  • Own and maintain the Price Architecture Framework (Product Tier × Profile × Lever) for assigned categories as the single source of truth feeding pricing and promo systems, keeping assignments current through annual review and flagging material shifts to Strategy Partners.
  • Support KVI list expansion and ongoing tier/lever decisions with data analysis on basket penetration, competitive overlap, and price elasticity.
  • Partner with Strategy Partners to design, run, and interpret tests validating Elevate assumptions on Archetype IV categories, reporting recommendations to merchant teams.
  • Partner with Pricing Execution to monitor actual AUR against Balance Matrix Profile/Tier targets, advise on adjustments, and feed results into the annual Balance Matrix review.
  • Deliver timely, validated analysis and scenario models for Strategy Partners' merchant meetings, pricing events, and AUR gap escalations, quantifying financial impact of promo, base price, or vendor funding changes.
  • Build and maintain reusable analytical templates (category workbooks, AUR dashboards, promo summaries) to speed up each new category wave.

What You'll Bring With You:
  • Bachelor's degree in Business, Economics, Finance, Statistics, Mathematics, or a related quantitative field.
  • 2-4 years of experience in pricing analytics, promotional analytics, retail data analysis, or a related role; experience within a retail pricing, category management, or merchandising analytics function preferred.
  • Proficiency in SQL for querying large transactional datasets; advanced Excel; experience with BI or visualization tools such as Power BI or Tableau.
  • Ability to work with high-volume, multi-source retail data-identifying quality issues, building reproducible data pipelines, and delivering clean outputs on recurring schedules.
  • Working knowledge of retail pricing concepts such as AUR, promotional lift, elasticity, and margin, and how data connects to pricing and promotional decisions.
  • Ability to structure and communicate analytical outputs clearly for Strategy Partner and merchant audiences.
  • Proficient in statistical analysis software (e.g., SAS, SPSS, Stata, R, Python) required.
  • Experience working directly alongside pricing strategists, category managers, or merchant/buying teams in a retail environment.
  • Exposure to ML/AI-enabled promotional effectiveness modeling or price elasticity modeling; experience preparing input datasets for data science teams.
  • Experience with competitive intelligence data sources (e.g., Nielsen, IRI, competitive web data, or equivalent) and integrating external competitive pricing feeds into internal tracking.

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