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Remote Shopify Data Analyst Jobs in Raleigh, NC (NOW HIRING)

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

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Remote Shopify Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do remote shopify data analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote shopify data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

How do Remote Shopify Data Analysts typically collaborate with cross-functional teams to drive data-driven decisions?

Remote Shopify Data Analysts frequently work alongside marketing, sales, and product teams to translate data insights into actionable strategies. Collaboration often occurs through virtual meetings, shared dashboards, and project management tools, ensuring everyone stays aligned on goals and progress. Analysts are expected to not only analyze store performance and customer behavior but also clearly communicate findings and recommendations to non-technical stakeholders. This collaborative approach helps teams optimize campaigns, improve user experience, and ultimately boost store performance.

What are the key skills and qualifications needed to thrive as a Remote Shopify Data Analyst, and why are they important?

To thrive as a Remote Shopify Data Analyst, you need strong analytical skills, experience with e-commerce data, and proficiency in data visualization and statistical analysis, often supported by a degree in data science, statistics, or a related field. Familiarity with Shopify analytics tools, SQL, Excel, and BI platforms like Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for remote collaboration and actionable insights delivery. These competencies ensure accurate data-driven decisions that drive sales growth and optimize online store performance.

What is the difference between Remote Shopify Data Analyst vs Remote E-commerce Data Analyst?

AspectRemote Shopify Data AnalystRemote E-commerce Data Analyst
Required SkillsShopify platform knowledge, data analysis, Excel, SQLGeneral e-commerce platforms, data analysis, Excel, SQL
Work EnvironmentPrimarily Shopify stores, online retailVarious e-commerce sites, multiple platforms
Industry UsageSpecific to Shopify-based businessesBroader e-commerce industry
CertificationsShopify certifications, data analysis certificationsGeneral data analysis certifications, e-commerce courses

The Remote Shopify Data Analyst specializes in analyzing data specifically for Shopify stores, focusing on platform-specific metrics and tools. In contrast, a Remote E-commerce Data Analyst works across various online retail platforms, offering broader industry insights. Both roles require strong data analysis skills and familiarity with e-commerce metrics, but the Shopify Data Analyst is more niche, often sought by Shopify store owners and agencies.

What does a Remote Shopify Data Analyst do?

A Remote Shopify Data Analyst is responsible for collecting, analyzing, and interpreting data from Shopify stores to help businesses make informed decisions. They use various tools and techniques to track sales, customer behavior, and website performance, providing actionable insights to improve eCommerce strategies. Working remotely, they collaborate with teams to generate reports, identify trends, and recommend optimizations for better store performance and increased revenue.
What are the most commonly searched types of Shopify Data Analyst jobs in Raleigh, NC? The most popular types of Shopify Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Remote Shopify Data Analyst jobs in Raleigh, NC? For Remote Shopify Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Shopify Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Shopify Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Shopify Data Analyst jobs? Cities near Raleigh, NC with the most Remote Shopify Data Analyst job openings:
Associate Director, Data Analytics

Associate Director, Data Analytics

IQVIA

Durham, NC • Remote

Full-time

Posted 17 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

53rd of 207 rated it services


Job description

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance, and strategic decision-making across healthcare and life sciences. This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering and governance standards, and partners with Product, Engineering, Sales, and client stakeholders to grow and modernize analytics capabilities.


This leader is expected to operate effectively in a matrix environment, balance competing priorities, and communicate clearly and diplomatically with senior internal and client leaders while driving measurable outcomes.

Key Responsibilities
People Leadership & Operating Model
Lead, hire, coach, and retain a high-performing team; set goals, provide feedback, and drive career development.
Establish operating rhythms and delivery governance (planning, prioritization, design reviews, release readiness, incident/defect triage) to ensure predictable execution and quality.
Drive a culture of accountability, documentation, and continuous improvement across teams and partners.
Data & Analytics Products (Build + Scale)
Own the end-to-end lifecycle of data and analytics products-from discovery through build, release, adoption, and operations-delivering reusable capabilities with measurable business impact.
Build product-grade data foundations (canonical models, curated datasets, semantic layers, governed metrics) and reference data (e.g., MDM/hierarchies) to ensure consistency and reuse.
Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git, CI/CD, automated testing, documentation, and runbooks.
Deliver scalable pipelines, automations, and accelerators for compliance/regulatory reporting and operations at scale using Python, SQL and orchestration (Airflow/ADF or equivalent).
Provide governed analytics experiences (dashboards, self-service datasets, alerting) for compliance KPIs, variance analysis, and executive decisioning.
Embed healthcare-grade data trust: definitions/lineage, access controls, privacy-by-design (PHI/PII where applicable), and data quality monitoring with root-cause remediation.
Incorporate agent-enabled capabilities where they improve usability and speed-to-insight (e.g., agent-assisted Q&A, summaries/insights, guided workflows) using enterprise-supported approaches and enablement resources.
Program Delivery & Client Outcomes
Own scope, milestones, acceptance criteria, dependencies, and risk/issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.
Translate regulatory and business changes into actionable delivery plans; communicate tradeoffs, decisions needed, and mitigation plans to senior stakeholders.
Define measurable success criteria and track outcomes (e.g., reduced manual effort, improved audit readiness, increased adoption of governed data products).
Business Development & Practice Growth
Own or co-lead RFPs: solution strategy, win themes, response authoring, compliance matrices, and executive summaries; partner with BD/Sales to shape proposals.
Lead client demos/pilots/orals; contribute reusable assets and accelerators that increase speed-to-value and differentiation.
Build and maintain senior client relationships; identify expansion opportunities and translate them into scalable offerings and roadmap items.
Strategic & Innovation Leadership
Maintain the analytics/platform roadmap and architecture guardrails to drive modernization, interoperability, security, and scalability.
Evaluate and adopt emerging technologies (including AI/ML and agentic patterns) where they measurably improve delivery efficiency, insight generation, or customer outcomes.
Qualifications (Required)
Bachelor's degree in a relevant field or equivalent experience.
Proven people leadership and delivery ownership in a matrix environment.
Strong SQL + Python (or equivalent) delivering production-grade pipelines and automation.
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent).
Strong stakeholder communication/presentation; calm, assertive, and diplomatic.
Business acumen: planning, prioritization, and financial awareness.

Qualifications (Preferred)
Experience leading data governance / metadata / lineage / stewardship operating models.
Healthcare/life sciences exposure where compliance/auditability are critical.
Experience delivering governed semantic models and self-service analytics.
RFP/orals and client solutioning leadership.

This is a remote/WFH opportunity available to candidates currently residing within the United States.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $84,400.00 - $235,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

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Hours and flexibility

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US