An eCommerce Analyst analyzes online sales data and customer behavior, providing insights to improve the performance and profitability of eCommerce platforms.
Potential Lateral Jobs
$57,475 / year
The average salary for eCommerce Analyst is $57,475 / year according to Payscale.com
There are no updated reports for eCommerce Analyst salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
eCommerce Analyst role may have an alternate title depending on the company. To find more information, you can check Payscale.com.
As an eCommerce Analyst, you will be responsible for analyzing and optimizing the performance of eCommerce websites or platforms. You will need strong skills in data analysis, web analytics, and digital marketing. Excellent analytical and problem-solving skills are essential, as you will be responsible for analyzing website traffic, user behavior, and conversion rates to identify opportunities for improvement. Strong communication and presentation skills are also important, as you may need to communicate findings and recommendations to stakeholders and collaborate with cross-functional teams to implement changes.
The following text about the Job role of eCommerce Analyst has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
An e-commerce analyst is a business professional who helps online businesses to understand their customers and improve their marketing and sales strategies. They analyze data from various sources, such as web traffic, customer surveys, and social media, to identify trends and patterns in customer behavior. This information is then used to develop more effective marketing and sales campaigns, as well as to improve the overall user experience of the online store.
An e-commerce analyst must have a strong understanding of marketing and sales strategies, as well as experience working with data and analytics. They must be able to identify trends and patterns in customer behavior and develop effective marketing and sales campaigns based on this information. In addition, an e-commerce analyst must have strong communication and interpersonal skills, as they will be working with a variety of stakeholders to implement their strategies.
Some of the most important skills and tasks for an e-commerce analyst include:
Identifying and analyzing customer data: An e-commerce analyst must be able to collect and analyze data from various sources, such as web traffic, customer surveys, and social media, to identify trends and patterns in customer behavior.
Developing marketing and sales campaigns: An e-commerce analyst must be able to develop effective marketing and sales campaigns based on the data they have collected. This includes creating targeted advertising campaigns, developing promotional materials, and developing strategies to improve the user experience of the online store.
Implementing strategies: An e-commerce analyst must be able to work with various stakeholders, such as the marketing and sales teams, to implement their strategies. This includes creating reports, presenting findings, and working with the development team to make changes to the online store.
Staying up-to-date on industry trends: An e-commerce analyst must stay up-to-date on industry trends and best practices, as the online retail industry is constantly evolving. This includes reading industry news, attending conferences and workshops, and staying in touch with industry professionals.
Overall, an e-commerce analyst is a vital member of any online retail team, as they help to ensure that the business is meeting the needs of its customers and staying competitive in the market.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
Microsoft Certified: Azure Data Scientist Associate
The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.
The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
The content displayed on this website is for informational and promotional purposes only. We have made every effort to use these materials in accordance with media kits and legal guidelines. We may receive a commission for any purchases made through our website.
Please note that we are not affiliated with, endorsed by, or sponsored by any of the companies whose logos and other materials appear on our website, unless expressly specified otherwise. All trademarks, logos, and other intellectual property belong to their respective owners.
If you are a copyright owner or an agent thereof and believe that any content on our website infringes upon your copyrights, you may submit a DMCA takedown request to have the content removed. Please provide us with the necessary information to process your request, and we will take appropriate action in accordance with applicable laws.
By using our website, you acknowledge and agree to this disclaimer and assume full responsibility for your use of the information provided.
No spam. In-depth analysis, expert opinions, startup perks, and resources to bootstrap your growth.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.