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Remote Shopify Data Analyst Jobs in Maryland (NOW HIRING)

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Econometrica specializes in research, econometric, analytical, and technical support for our ...

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

Data Scientist Associate

Upper Marlboro, MD · On-site +1

$80K - $120K/yr

Public Trust Potential for Remote Work: ORA_HYBRID Description SAIC is seeking a Data Scientist Associate with a strong background in statistical data analysis using modern analytic tools and ...

Showing results 21-40

Remote Shopify Data Analyst information

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 key skills and qualifications needed to thrive as a remote Shopify data analyst?

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.

How does a remote Shopify data analyst 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 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 are the most commonly searched types of Shopify Data Analyst jobs in Maryland?

The most popular types of Shopify Data Analyst jobs in Maryland are:

What are popular job titles related to Remote Shopify Data Analyst jobs in Maryland?

For Remote Shopify Data Analyst jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Shopify Data Analyst jobs in Maryland look for?

The top searched job categories for Remote Shopify Data Analyst jobs in Maryland are:

What cities in Maryland are hiring for Remote Shopify Data Analyst jobs?

Cities in Maryland with the most Remote Shopify Data Analyst job openings:

Sr. Data Analytics Engineer

Under Armour

Baltimore, MD • On-site, Remote

$125K - $165K/yr

Full-time

Medical, Retirement

Re-posted 26 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

24th of 105 rated fashion retailers


Job description

Values & Innovation
At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.
Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.
Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.
If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here.
Purpose of Role
Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions.
Your Impact
Data Engineering & Architecture:
  • Lead data model design, semantic layer definition, and scalable ELT architecture.
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.
  • Build high-quality analytical datasets and visualization-optimized data structures.

Quality, CI/CD & Operational Excellence:
  • Own CI/CD deployment pipelines and release management processes.
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.
  • Lead root-cause analysis and long-term fixes for complex data issues.

Leadership & Collaboration:
  • Mentor junior engineers and uplift engineering maturity across squads.
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.
  • Influence architectural decisions and emerging-technology adoption.
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions.

AI Enablement:
  • Apply Generative AI tools to streamline development workflows and enhance product quality.
  • Contribute to the design of AI-enabled automation solutions.

Qualifications
  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
  • Expert SQL abilities with mastery in complex data transformation patterns.
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
  • 4+ Years of experience with Tableau or similar analytics platforms.
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.
  • 2+ Years of experience & strong background in CI/CD engineering best practice.
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
  • Advanced Python for automation, orchestration, and engineering workflows.
  • Working knowledge of automation tools (e.g., Elementum).
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.
  • Generative AI applies responsibly to accelerate development and improve quality.
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication.

Workplace Location
  • Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams)
  • Work Schedule: Fully Remote
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

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Relocation
  • No relocation provided

Base Compensation
$125,000.00-$165,000.00 USD
Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.
Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

Our Commitment to Equal Opportunity
At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.
Requisition ID: 166215
Location:

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