Greif offers a great working environment and the opportunity to make an immediate impact at a company where your ideas are always welcome.
Job Requisition #:
029322 Ecommerce Data Analyst (Open)
Job Description:
As a Data Analyst for the Greif, you will play a crucial role in using data to help optimize the external and internal user experience by getting a better understanding behavior and characteristics of our users by measuring overall adoption and business impact. The analytics will assist in enabling global rollouts, mergers and acquisitions, and support company initiatives. Your analytical insights will drive strategic decision-making, improve employee and customer engagement, and help us refine our product offerings. By leveraging these data-driven insights, you will contribute to the growth and success of our company.
RESPONSIBILITIES:
•Data Collection and Management:Collaborate with cross-functional teams to gather, clean, and maintain datasets relevant to the Data and Analytics and Digital eCommerce teams – including customer characteristics data, customer behavioral data, operations transactional data, product data, CRM, and more.
•Data Quality:Develop and maintain data transformation and quality checks to ensure collected data is accurate and can be trusted.
•Data Analysis:Utilize statistical analysis and data visualization techniques to identify trends, patterns, and insights from the collected data. Translate complex data into actionable insights that support business decisions.
•Customer Behavior Analysis:Analyze user interaction with the company`s e-commerce platform and other systems and user behavior data to uncover opportunities for improving internal user and external customer adoption rates, user engagement, and customer satisfaction.
•Reporting and Dashboarding:Develop and maintain dashboards & regular reports that provide stakeholders with key performance metrics and insights related to the performance (e.g., customer adoption & business impact).
•A/B Testing:Collaborate with the marketing and product team members to design and implement A/B tests to optimize website features, user flows, and promotional strategies.
•Closely works with the Digital eCommerce Team to advise, develop, and execute deliverables relating portal performance and user behavior analytics within project sprints
EXPERIENCE & SKILLS:
•Education: Bachelor's degree in a relevant field such as Data Science, Statistics, Business Analytics, or a related quantitative discipline. Master's degree is a plus
•Experience: 3+ years of experience in data analysis, preferably in the ecommerce and/or industrial sector. Required marketing tool experience in Google Analytics 4, Google Tag Manager, Hotjar, and Semrush, and other marketing tools a bonus.
•Analytical Skills: Proficient in using tools for data manipulation & analysis (e.g., Excel, SQL). Experience with data visualization tools (e.g., Power BI, Tableau) and marketing analytics tools (e.g., GA4, Hotjar, Semrush, others).
•Problem-Solving: Proven track record of identifying business challenges and using data-driven approaches to formulate effective solutions
•Data Interpretation: Strong ability to analyze complex data sets, draw meaningful insights, and present findings to both technical and non-technical stakeholders
•Attention to Detail: Meticulousness in data accuracy, validation, and quality assurance
•Communication & cross-functional collaboration: Excellent communication skills to convey technical insights and recommendations to diverse teams and audiences
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EEO Statement:
https://www.greif.com/wp-content/uploads/2023/04/HR-101-Equal-Employment-Opportunity-Policy-English.pdf
We offer a competitive salary, excellent benefits and opportunity for growth. Greif, Inc. is an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of sexual orientation, gender identity, race, gender, religion, age, national origin, color, disability, or veteran status. EOE/Minority/Female/Disabled/Veteran. For more information read Greif’s Equal Opportunity Policy.
