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Ecommerce Data Analytics Jobs (NOW HIRING)

Truvani

eCommerce Data Analyst - REMOTE

Charleston, SC · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Truvani

eCommerce Data Analyst - REMOTE

Austin, TX · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Truvani

eCommerce Data Analyst - REMOTE

Dallas, TX · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Truvani

eCommerce Data Analyst - REMOTE

Miami, FL · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Truvani

eCommerce Data Analyst - REMOTE

Newark, NJ · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

AaraTechnologies Inc

DATA ANALYST

Georgiana, AL · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... E-Commerce to support reporting and analytics for retail and ecommerce platforms. This role ...

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... E-Commerce to support reporting and analytics for retail and ecommerce platforms. This role ...

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Ecommerce Data Analytics information

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$165K

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How much do ecommerce data analytics jobs pay per year?

As of Jul 20, 2026, the average yearly pay for ecommerce data analytics in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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 the key skills and qualifications needed to thrive as an Ecommerce Data Analyst, and why are they important?

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.

Does e-commerce pay well?

E-commerce data analysts and related roles typically have competitive salaries that vary based on experience, location, and skill level. Professionals with expertise in data analysis tools like SQL, Excel, and visualization software often earn higher wages, especially in larger companies or tech-focused environments.

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.

How is data analysis used in e-commerce?

Ecommerce data analysts use data analysis to track customer behavior, optimize marketing strategies, and improve sales performance. They analyze large datasets with tools like Excel, SQL, or specialized analytics platforms to identify trends, segment audiences, and inform decision-making for better business outcomes.

What does an ecommerce Data Analyst do?

An ecommerce Data Analyst collects, analyzes, and interprets sales, customer, and website data to identify trends and improve online business performance. They use tools like Excel, SQL, and analytics platforms to generate reports, support decision-making, and optimize marketing strategies. Strong analytical skills and knowledge of ecommerce platforms are essential for this role.

Will AI replace a Data Analyst?

AI can automate routine data processing and basic analysis tasks, but Data Analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in data visualization, programming, and understanding business context, making human expertise essential alongside AI tools.
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What job categories do people searching Ecommerce Data Analytics jobs look for? The top searched job categories for Ecommerce Data Analytics jobs are:
Ecommerce Data Analytics jobs near you

E-commerce Data Analyst

Futran Tech Solutions Pvt. Ltd.

Woodcliff Lake, NJ • On-site

Full-time

Re-posted yesterday

Job description

Job Title: Ecommerce Data Analyst
Location: Woodcliff Lake, NJ 07677
Job Functions, Essential Duties, And Responsibilities:
• Provide support in managing and maintaining digital analytics, opportunity
identification and prioritization, hypothesis generation, test setup and reporting
• Responsible for reporting and analysis of digital platforms and marketing campaigns
against a holistic set of KPIs and benchmarks
• Collecting and analyzing data from multiple sources such as customer databases,
web analytics, market research, and surveys.
• Creating reports and dashboards to track key performance indicators.
• Identifying trends and recommending strategies to improve ecommerce performance.
• Building and monitoring predictive models to optimize pricing and promotional
decisions.
• Enhancing customer segmentation and targeted marketing campaigns.
• Understanding user behavior and leveraging insights to drive product design,
development, and optimization.
• Collaborating with teams across departments to ensure data accuracy and integrity.
Requirements:
2+ years of direct and hands-on experience providing solutions.
Excellent analytical skills, be detail-oriented, and work well within a small, dynamic
and data-driven team.
Solid understanding of database technologies, data analytics, and reporting tools.
Analytical skills to interpret data and draw meaningful insights.
Good communication and presentation skills.
Knowledge of machine learning and predictive modeling techniques is plus but not
required.
Understanding of web analytics and customer segmentation techniques.
Hands-on experience with statistical platform such as Google Analytics, Ads

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