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How much do omnichannel associate jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for omnichannel associate in the United States is $19.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $20.67 per hour, depending on experience, location, and employer.

What is an Omnichannel Associate?

An Omnichannel Associate is a retail professional responsible for providing a seamless shopping experience across various sales channels, such as in-store, online, and mobile platforms. They assist customers with orders, returns, and product inquiries regardless of where the transaction originated. Their role often includes managing store inventory, fulfilling online orders, and ensuring consistent customer service. Omnichannel Associates help bridge the gap between physical and digital retail, making sure customers can shop and interact with the brand in the way that suits them best.

How does an Omnichannel Associate typically collaborate with other departments to ensure a seamless customer experience?

As an Omnichannel Associate, you'll regularly work with teams such as sales, marketing, inventory management, and customer service to create a unified customer journey across all channels. This often involves communicating customer feedback, coordinating promotional campaigns, and ensuring inventory accuracy between online and in-store platforms. Effective collaboration and clear communication are essential, as you'll help troubleshoot issues and contribute to process improvements that enhance the overall shopping experience. Your role is pivotal in bridging the gap between digital and physical retail operations.

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

To thrive as an Omnichannel Associate, you need strong customer service skills, product knowledge, and experience in retail or e-commerce environments. Familiarity with point-of-sale (POS) systems, inventory management software, and online order platforms is typically required. Excellent communication, multitasking, and problem-solving abilities help you effectively connect with customers across various channels. These skills ensure seamless integration between in-store and digital experiences, enhancing customer satisfaction and driving sales.
More about Omnichannel Associate jobs
What cities are hiring for Omnichannel Associate jobs? Cities with the most Omnichannel Associate job openings:
What are the most commonly searched types of Omnichannel jobs? The most popular types of Omnichannel jobs are:
What states have the most Omnichannel Associate jobs? States with the most job openings for Omnichannel Associate jobs include:
Infographic showing various Omnichannel Associate job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 65% Full Time, 33% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $41,327 per year, or $19.9 per hour.
Associate Director Omnichannel Analytics Enablement Strategy

Associate Director Omnichannel Analytics Enablement Strategy

Novo Nordisk

Plainsboro, NJ

Full-time

Posted 26 days ago


Novo Nordisk rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

19th of 71 rated pharmaceutical


Job description

About the Department

Our Marketing & Patient Solutions group creates and delivers human-centered experiences, where innovation meets customer-centricity, driving the ultimate experience for our patients. Our focus extends beyond transactions to craft experiences as one fully integrated, aligned and connected organization that puts empathy at the center, powered by insight and foresight.
We develop an end-to-end approach to strategy, focusing on every touchpoint that impacts our customers. We leverage data and insights to inform our decision-making processes, ensuring that our strategies are rooted in a deep understanding of customer needs and behaviors. Our 'test and learn’ mindset and approach enables us to iterate rapidly and refine our strategies based on real-world results.

We are building an intentional team culture that is made up of diverse skillsets, united by the shared belief that reinvention and learning is what fuels continuous growth. Do you get excited about exploring the unknown? Does the idea of driving value through human-centered design pull you in? Are you ready to experiment with us?

The Position

The Associate Omnichannel Analytics Enablement Strategy Director will be responsible for establishing and leading the strategy for an enterprise web & campaign analytics measurement framework and the enablement of product analytics tools like Adobe Customer Journey Analytics. They will be accountable for building an integrated enterprise, event-driven digital data taxonomy that will be leveraged by multiple internal and external partners to accomplish actionable insights, dashboard automation, next best action, experimentation, personalization, and journey orchestration opportunities.

Relationships

The Associate Omnichannel Analytics Enablement Strategy Director sits within the Omnichannel intelligence team, part of the broader Customer Engagement & Channel Experience function.  This role will report directly into the Director of Omnichannel Intelligence. This is a high-visibility, cross-functional role and will collaborate closely with brand, marketing operations, IT, legal, reporting analysts and external vendors on tagging enablement activities to deliver best in class data-driven, dynamic customer experiences at scale.

Essential Functions

  • Omnichannel CX Data Strategy Leadership: Lead the execution and continuous optimization of an enterprise‑grade CX Product Analytics data strategy across HCP and patient experiences. Ensure the strategy is tightly aligned to organizational priorities, key business questions, and personalization objectives to drive informed, data‑led decision‑making. Own the end‑to‑end CX data ecosystem including data acquisition, architecture, governance, processing, and activation—to enable scalable insights and consistent customer engagement. Proactively evolve the data strategy to incorporate emerging business needs, technologies, and analytics capabilities, ensuring long‑term relevance and impact
  • Analytics Solution Design & Strategic Enablement: Lead cross‑functional web and campaign tracking initiatives, translating business objectives into scalable product analytics solution designs and implementation roadmaps. Develop strategic analytics plans that align with enterprise priorities and stakeholder key business questions (KBQs), proactively identifying measurement and activation approaches that drive tangible outcomes—such as increased CRM enrollment, enhanced content engagement, and improved conversion across digital and offline touchpoints. Ensure solutions are outcome‑focused, technically sound, and optimized to support sustained performance measurement and optimization
  • Stakeholder Discovery & Alignment: Facilitate collaborative stakeholder workshops to surface and priorities key business questions, aligning cross‑functional perspectives into clear, outcome‑driven analytics requirements. Translate business needs into well‑defined technical inputs for analytics and engineering teams, ensuring analytics solutions are purpose‑built to enable meaningful measurement, insight generation, and optimization across digital experiences
  • Omnichannel Campaign Taxonomy & Enablement: Lead the development and governance of a standardized omnichannel campaign taxonomy and self‑service tracking request capability to ensure consistent, high‑quality data capture across promotional channels. Act as product owner for the solution, driving adoption and disciplined use across internal teams and external partners through structured onboarding, enablement, and ongoing review cycles. Continuously refine taxonomy and tracking standards to strengthen data integrity and unlock scalable, actionable insights that power optimization, measurement, and decision‑making across the organization
  • Analytics Socialization & Democratization: Design, operationalize, and sustain scalable solution validation playbooks and dashboards that enable consistent, confident data consumption across stakeholders and analysts. Drive organizational fluency in solution design and analytics best practices, accelerating the translation of data into actionable insights and optimization strategies. Ensure reporting standards and validation frameworks actively reinforce data trust, usability, and decision impact.  Host cadenced product analytics office hours to democratize the solution and address key business questions to drive adoption of the product analytics solution
  • Cross‑Functional Product Analytics Enablement: Partner closely with IT engineering teams and analytics subject‑matter experts to co‑design and deliver a robust omnichannel product analytics data foundation. Establish and enforce data quality, integrity, and validation standards to ensure trusted, decision‑ready insights. Lead the development of an end‑to‑end governance framework that guides the build, evolution, and sustainment of a scalable product analytics ecosystem across the full customer journey—integrating promotional sales and marketing exposure data, channel flighting, digital engagement and conversion signals, audience tokenization, and measurable offline impact
  • Data Usability & Transparency Enablement: Establish and maintain enterprise‑grade data usability artefacts, including a comprehensive business and analytics lexicon and solution design references that clearly define data elements, attributes, and relationships. Ensure these assets are easily accessible, trusted, and continuously refreshed to reflect the evolving data ecosystem. Create intuitive visual data maps that illustrate cross‑platform data flows and technology interdependencies, enabling stakeholders to confidently interpret insights, accelerate adoption, and support scalable, data‑driven decision‑making
  • Analytics Validation & Solution Integrity: Lead ongoing landscape assessments to ensure the integrity, reliability, and completeness of website and campaign analytics solutions. Oversee systematic data validation, tagging audits, and platform‑level monitoring and alerting to proactively identify risks, anomalies, and degradation in measurement. Ensure analytics implementations remain trusted, enterprise‑ready, and fit‑for‑purpose to support accurate performance assessment and optimization decisions
  • Continuous Education & Capability Advancement: Champion a continuous education strategy that builds omnichannel analytics capability and Agentic AI future ready skills across the team. Proactively monitor industry trends, emerging technologies, and best practices, translating external learning into targeted upskilling, thought leadership, and practical application within the omnichannel data strategy. This role identifies and sponsors high impact learning and innovation initiatives ensuring new approaches are deliberately tested, operationalized, and scaled to improve business performance, customer experience outcomes, and operational efficiency. By focusing team effort on high value learning and application, this strategy accelerates organizational maturity while sustaining a competitive edge
  • Privacy‑by‑Design & Regulatory Compliance: Partner proactively with Legal, Privacy, and Compliance teams to embed privacy‑by‑design principles across all analytics and measurement solutions. Ensure tracking strategies, consent frameworks, and data collection practices remain continuously aligned with evolving data privacy and cookie consent regulations inclusive of internal governance standards. Provide strategic guidance to balance compliant data capture with meaningful measurement, safeguarding customer trust while enabling responsible insights and activation
  • Analytics Socialization & Democratization: Design, operationalize, and sustain scalable solution validation playbooks and dashboards that enable consistent, confident data consumption across stakeholders and analysts. Drive organizational fluency in solution design and analytics best practices, accelerating the translation of data into actionable insights and optimization strategies. Ensure reporting standards and validation frameworks actively reinforce data trust, usability, and decision impact.  Host cadenced product analytics office hours to democratize the solution and address key business questions to drive adoption of the product analytics solution
  • Cross‑Functional Product Analytics Enablement: Partner closely with IT engineering teams and analytics subject‑matter experts to co‑design and deliver a robust omnichannel product analytics data foundation. Establish and enforce data quality, integrity, and validation standards to ensure trusted, decision‑ready insights. Lead the development of an end‑to‑end governance framework that guides the build, evolution, and sustainment of a scalable product analytics ecosystem across the full customer journey—integrating promotional sales and marketing exposure data, channel flighting, digital engagement and conversion signals, audience tokenization, and measurable offline impact
  • Data Usability & Transparency Enablement: Establish and maintain enterprise‑grade data usability artefacts, including a comprehensive business and analytics lexicon and solution design references that clearly define data elements, attributes, and relationships. Ensure these assets are easily accessible, trusted, and continuously refreshed to reflect the evolving data ecosystem. Create intuitive visual data maps that illustrate cross‑platform data flows and technology interdependencies, enabling stakeholders to confidently interpret insights, accelerate adoption, and support scalable, data‑driven decision‑making.
  • Analytics Validation & Solution Integrity: Lead ongoing landscape assessments to ensure the integrity, reliability, and completeness of website and campaign analytics solutions. Oversee systematic data validation, tagging audits, and platform‑level monitoring and alerting to proactively identify risks, anomalies, and degradation in measurement. Ensure analytics implementations remain trusted, enterprise‑ready, and fit‑for‑purpose to support accurate performance assessment and optimization decisions.
  • Continuous Education & Capability Advancement: Champion a continuous education strategy that builds omnichannel analytics capability and Agentic AI future‑ready skills across the team. Proactively monitor industry trends, emerging technologies, and best practices, translating external learning into targeted upskilling, thought leadership, and practical application within the omnichannel data strategy. This role identifies and sponsors high‑impact learning and innovation initiatives—ensuring new approaches are deliberately tested, operationalized, and scaled to improve business performance, customer experience outcomes, and operational efficiency. By focusing team effort on high‑value learning and application, this strategy accelerates organizational maturity while sustaining a competitive edge.
  • Privacy‑by‑Design & Regulatory Compliance: Partner proactively with Legal, Privacy, and Compliance teams to embed privacy‑by‑design principles across all analytics and measurement solutions. Ensure tracking strategies, consent frameworks, and data collection practices remain continuously aligned with evolving data privacy and cookie consent regulations inclusive of internal governance standards. Provide strategic guidance to balance compliant data capture with meaningful measurement, safeguarding customer trust while enabling responsible insights and activation.
  • Analytics Socialization & Democratization: Design, operationalize, and sustain scalable solution validation playbooks and dashboards that enable consistent, confident data consumption across stakeholders and analysts. Drive organizational fluency in solution design and analytics best practices, accelerating the translation of data into actionable insights and optimization strategies. Ensure reporting standards and validation frameworks actively reinforce data trust, usability, and decision impact.  Host cadenced product analytics office hours to democratize the solution and address key business questions to drive adoption of the product analytics solution.
  • Cross‑Functional Product Analytics Enablement: Partner closely with IT engineering teams and analytics subject‑matter experts to co‑design and deliver a robust omnichannel product analytics data foundation. Establish and enforce data quality, integrity, and validation standards to ensure trusted, decision‑ready insights. Lead the development of an end‑to‑end governance framework that guides the build, evolution, and sustainment of a scalable product analytics ecosystem across the full customer journey—integrating promotional sales and marketing exposure data, channel flighting, digital engagement and conversion signals, audience tokenization, and measurable offline impact.

Physical Requirements

0-10% overnight travel required.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering or equivalent required. Master’s degree preferred
  • 8+ years of experience leading an analytics operations and digital data enablement program with an emphasis on campaign and web data management & strategy
  • 4+ years of experience with building and dir...

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