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Ecommerce Data Analytics Jobs in Virginia (NOW HIRING)

... ecommerce funnels, and goal setup. AI-Powered Analytics & Insights * Leverage AI and machine ... Power BI Data Analyst or Tableau Desktop Certified preferred Knowledge, Skills & Abilities

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Experience using GitHub (e.g., source code management). * Comprehensive knowledge of modern ...

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Experience using GitHub (e.g., source code management). * Comprehensive knowledge of modern ...

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical ... Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to ...

Software Developer, Data Analytics

Mclean, VA · On-site

$115K - $139K/yr

Join the MITRE Data Analytics team where you will provide software development, algorithm ... Experience with analytic techniques and methods (e.g., supervised and unsupervised machine learning ...

... and e-commerce. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the ... Experience in Data Analytics, Stastical Modelling, Data warehousing, Data Dictionary development in ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will ...

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and ... Effectively leverages analytical platforms (e.g., BIC, Tableau) to efficiently fulfill analytical ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will ...

Manager, Data Analytics We're looking for someone who can sit between the business and the ... e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will ...

Showing results 41-60

Ecommerce Data Analytics information

What is ecommerce data analytics?

Ecommerce Data Analytics involves collecting, analyzing, and interpreting data from online sales and customer interactions to improve business decisions. Professionals in this field use tools to track metrics like conversion rates, customer behavior, sales trends, and marketing effectiveness. The insights gained help ecommerce businesses optimize their operations, personalize customer experiences, and increase profitability. Ecommerce data analysts often work with large datasets, using statistical techniques and data visualization to uncover patterns and opportunities for growth.

What are the key skills and qualifications needed to thrive as an ecommerce data analyst?

To thrive as an Ecommerce Data Analyst, you need strong analytical skills, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Proficiency in data analytics tools such as Google Analytics, SQL, Excel, and data visualization platforms like Tableau is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing actionable insights with stakeholders. These skills enable analysts to drive data-informed decisions that optimize online sales performance and customer experience.

How does an ecommerce data analytics professional typically interact with marketing and sales teams to drive business growth?

Ecommerce Data Analytics professionals play a pivotal role in collaborating with marketing and sales teams by providing actionable insights derived from customer behavior, sales trends, and campaign performance data. They regularly meet with these teams to discuss findings, recommend strategies for optimizing marketing spend, and identify opportunities for upselling or cross-selling. This collaborative environment not only helps align data-driven decisions with business goals, but also enables analytics professionals to see the direct impact of their work on revenue growth and customer engagement.

What is the difference between Ecommerce Data Analytics vs Ecommerce Data Analyst?

AspectEcommerce Data AnalyticsEcommerce Data Analyst
Role FocusAnalyzing ecommerce data to derive insights and inform business strategiesCollecting, processing, and interpreting ecommerce data to support decision-making
Skills & CertificationsData analysis, statistics, business intelligence tools, possibly certifications in analytics or data scienceData analysis, Excel, SQL, visualization tools, often with similar certifications
Work EnvironmentTypically involves working with large datasets, dashboards, and cross-functional teamsHands-on data processing, reporting, and collaboration with marketing and sales teams

While both roles focus on ecommerce data, Ecommerce Data Analytics is broader, involving strategic analysis and insights, whereas Ecommerce Data Analyst is more about data collection, processing, and reporting. Both roles require similar skills and certifications, often working in similar environments within ecommerce companies.

What are popular job titles related to Ecommerce Data Analytics jobs in Virginia?

For Ecommerce Data Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ecommerce Data Analytics jobs in Virginia look for?

The top searched job categories for Ecommerce Data Analytics jobs in Virginia are:

Infographic showing various Ecommerce Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

Manager, Data Insights

shrm

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Summary Manager of Data Insights to lead customer analytics and intelligence initiatives across the organization. This role is responsible for the full lifecycle of customer intelligence—from data collection, analysis, and interpretation to the delivery of actionable insights that inform high-impact business decisions.  The Manager will oversee traditional customer analytics, including segmentation, attribution, predictive modeling, and digital analytics, while monitoring customer trends and operational performance. As a key partner to Marketing, Sales, and business stakeholders, this leader will translate complex data into clear, compelling narratives, recommendations, and reporting that drive strategy, optimize performance, and support the growth of core audience segments and products..  Responsibilities

Insights & Stakeholder Partnership

  • Partner with internal teams to offer strategic insights, review and translate findings, make actionable recommendations, measure program success, and provide insight into how to improve personalization use cases.
  • Package and communicate trends and insights to key stakeholders, including senior leadership, in a timely and effective manner.
  • Proactively identify trends, risks and opportunities within customer data to inform business priorities.
  • Develop business intelligence solutions to enable a diverse set of stakeholders to explore data, uncover new insights, and take action.

Reporting & Dashboard Development

  • Develop and manage audience, marketing, product-based, operational, and executive dashboards in Power BI or similar platforms; summarize data clearly and provide insightful analysis.
  • Lead support for analytics tools including, Customer Journey Analytics, Adobe Launch, Google Analytics, and Google Tag Manager, including access management, custom reports, event tracking, ecommerce funnels, and goal setup.

 

AI-Powered Analytics & Insights

  • Leverage AI and machine learning tools to enhance the speed, depth, and accuracy of customer analytics, reporting, and insight generation workflows.
  • Utilize AI-assisted and generative BI platforms (e.g., LLM-based analytics assistants, natural language querying tools) to reduce time-to-insight and increase accessibility of data across stakeholder groups.
  • Evaluate and champion emerging AI tools and methodologies to continuously advance the analytics function’s capabilities and competitive positioning.
  • Ensure responsible, governed, and transparent use of AI in analytics workflows, maintaining accuracy and integrity in AI-generated outputs.
  • Other duties and projects as assigned.
Education & Experience Requirements

Education:

  • Bachelor’s degree in Marketing, Analytics, Computer Science, or a comparable degree in a relevant field.
  • Additional graduate certificates in analytics, reporting, or other post-graduate education in analytics.

Experience:

  • 8+ years of experience in customer analytics, data insights or a related field with demonstrated expertise in customer segmentation, attribution modeling and end-to-end customer journey analytics.
  • 7 years’ experience in digital analytics platforms (e.g., Adobe Analytics, Customer Journey Analytics, or Google Analytics) and data visualization tools (e.g., Tableau, Power BI, Looker)
  • Hands on experience with SQL and/or programming languages such as Python or R for data analysis
  • Proven ability to translate complex analytical findings into clear business insights and recommendations for non-technical audiences
  • Experience managing people.
  • Experience functioning in a highly matrixed organization

Preferred

  • Experience with Key Performance Indicator (KPI) development and goal setting in a traditional (non-association) business environment.
  • Experience using AI-powered business intelligence tools to make data and insights more accessible
  • Experience using Salesforce for reporting and analysis, including building custom reports and dashboards to surface customer and pipeline insights that support sales and marketing decision-making.

Certifications

  • Adobe Analytics or Customer Journey Analytics Business Practitioner preferred
  • Microsoft Certified: Power BI Data Analyst or Tableau Desktop Certified preferred
 Knowledge, Skills & Abilities
  • Proficiency in data analysis tools and software (e.g., Power BI, Tableau, SQL, Alteryx, Python).
  • Advanced Excel skills including expertise in pivot tables, statistical functions, interactive charts, and macros.
  • Experience with Adobe Analytics, Customer Journey Analytics, and Adobe Launch.
  • Advanced skills in tagging and tracking web pages, features, ecommerce checkout flows, cross-domain and sub-domains, funnel analysis, and lifecycle marketing analytics.
  • Experience with customer data platforms (CDPs) and sales and marketing analytics ecosystems
  • Proven ability to translate complex analytical findings into clear business insights and be a strong collaborator with ability to build cross-functional relationships.
  • Professional integrity necessary to maintain confidentiality.
  • Strong planning skills and ability to manage multiple projects simultaneously.
  • Excellent verbal and written communication skills.
  • High attention to detail and commitment to accuracy.
  • Ability to complete assigned duties within critical deadlines.
  • Ability to work independently and in a team environment.
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
  • Proficiency with modern reporting platforms and tools.
  • Ability to grasp complex platform concepts and business models in a digital context.

Preferred

  • Knowledge of data governance frameworks and analytics best practices
  • Experience using AI-powered tools to enhance business intelligence capabilities, including natural language querying, automated insight generation, and AI-assisted dashboard development to make data and insights more accessible across the organization.
Physical Requirements

This position operates in a typical office environment and requires the ability to perform essential job functions with or without reasonable accommodation. Physical requirements may include:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Frequent use of hands and fingers for typing, handling documents, and using office equipment.
  • Occasional standing, walking, bending, and reaching.
  • Ability to lift and carry up to 30 pounds as needed.
  • Clear verbal and written communication skills for effective interaction with colleagues and stakeholders.
Work Environment

Hybrid Position (3 Days In-Office, 2 Days Remote):

  • This position follows a hybrid work schedule, requiring in-office presence [three days per week] and remote work [two days per week]. Core work hours will be designated by the department.  The office environment includes a standard workstation setup with collaborative spaces, while remote work requires a reliable high-speed internet connection and a suitable home workspace. Employees must maintain availability during standard business hours and adhere to company policies for both in-office and remote work.

Tuesday–Thursday in office, Monday and Friday remote. Standard business hours with core availability between 8:00–9:00 a.m. and 5:00–6:00 p.m.

Travel: 0 – 10%

#LI

The hiring range for this position is $125,000 to $145,000 per year. This range is an estimate, and the actual salary may vary based on the candidate's experience, skills, and qualifications. SHRM offers a competitive and comprehensive total rewards package. The benefits for this position include professional growth and development, health, dental, vision, well-being, health savings, flexible spending, retirement, open leave, and annual discretionary bonus and incentives.


SHRM logo

About SHRM

Sourced by ZipRecruiter

SHRM, the Society for Human Resource Management, creates better workplaces where employers and employees thrive together. As the voice of all things work, workers and the workplace, SHRM is the foremost expert, convener and thought leader on issues impacting today's evolving workplaces. With nearly 325,000 members in 165 countries, SHRM impacts the lives of more than 235 million workers and families globally.

Industry

Human resources consulting services

Company size

201 - 500 Employees

Headquarters location

Alexandria, VA, US

Year founded

1948

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