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Jobs or company...

Data Analyst 3

Salary undisclosed

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Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
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Job Description

Job Description

Hi ,

We have an Immediate requirement for our direct client, If you are interested in applying for this position Please revert with your updated resume.

Job Title: IT Data Analyst 3 (eCommerce Operations Analyst)

Duration: 12+ Months Contract

Location: Warren, MI 48092 (Hybrid)

Shift Timings:

Monday Friday 9AM 5PM
Hybrid in office Tue, Wed, and Thurs

Top 3 must-have Skills

  • At least 2+ years of experience in eCommerce operations, data analysis, or a similar role
  • Experience with Excel, comfortable quick and efficient with it
  • Comfortable with working with databases, pulling data out of a database

Candidate Requirements:

  • Bachelor's degree in business, Data Analytics, Information Systems, or a related field
  • At least 2+ years of experience in eCommerce operations, data analysis, or a similar role
  • Google or Adobe analytics would like to see
  • "Heap" is a new tool they are using, site analytics tool
  • Nice to have comfortable with visualizing the data, create PowerPoints and presentations from the data to show what they are seeing

Job Description:

As an eCommerce Operations Analyst, you will play a crucial role in optimizing our online operations and enhancing the overall performance of our eCommerce platforms. You will be responsible for analyzing key operational and sales metrics, identifying areas for improvement, and work with business teams to create strategies to ensure smooth and efficient online transactions. Your insights will help drive business decisions and improve customer satisfaction.

Key Responsibilities:

Daily Sales Reporting: Prepare and distribute daily sales reports, providing key insights into sales performance and trends. Monitor and analyze daily sales data to identify patterns, anomalies, and opportunities for improvement.

Monthly Sales Reporting: Compile and analyze monthly sales data to create comprehensive reports that highlight overall performance, trends, and key drivers.

Data Mining: Extract valuable insights from large datasets, identifying patterns, correlations, and trends that inform business strategies and decision-making processes.

Data Visualization: Transform complex data into actionable insights, helping stakeholders understand trends, patterns, and key performance metrics.

New Reporting: Design and develop new reports that meet evolving business needs, leveraging data analysis to create actionable insights and support strategic decision-making.

Data Exports: Execute and manage data exports to ensure accurate and timely extraction of information from databases, facilitating data analysis, reporting, and integration with other systems.

Qualifications:

Education: Bachelor's degree in Business, Data Analytics, Information Systems, or a related field.

Experience: 2+ years of experience in eCommerce operations, data analysis, or a similar role.

Technical Skills: Proficient in data analysis tools (e.g., Excel, SQL, Tableau, Power Bi ), and experience with JIRA program or similar IT project management tools.

Analytical Mindset: Strong analytical and problem-solving skills, with the ability to interpret complex data and make data-driven decisions.

Communication Skills: Strong verbal and written communication skills, with the ability to present findings and recommendations clearly to stakeholders at all levels.

Attention to Detail: High level of accuracy and attention to detail, particularly in data analysis and reporting.

Project Management: Ability to manage multiple tasks and projects simultaneously, with a focus on delivering results in a fast-paced environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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