Experienced Full Stack Data Entry Specialist – Remote, Part-Time Position with Competitive Hourly Rate

Are you a detail-oriented and analytical individual with a passion for data analysis and interpretation? Do you have a strong background in data entry, SQL, and data visualization tools? If so, we encourage you to apply for our exciting opportunity as an Experienced Full Stack Data Entry Specialist at CVS, a leading retail media arm of the fourth-largest organization in the US.

About CVS

CVS is a rapidly growing retail media company that is revolutionizing the way businesses interact with their customers. As a Senior Analyst on our team, you will play a critical role in driving data-driven decision making across various departments, including Product, Marketing, Sales, Operations, Data Science, and Information Technology. Our team is passionate about leveraging data to drive business growth and improve customer experiences.

Job Summary

We are seeking an experienced Full Stack Data Entry Specialist to join our team on a part-time, remote basis. As a key member of our data analytics team, you will be responsible for extracting and analyzing data from various sources, creating insightful reports and dashboards, and collaborating with cross-functional teams to drive business growth. If you have a strong background in data analysis, SQL, and data visualization tools, and are passionate about working in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.

Key Responsibilities

As an Experienced Full Stack Data Entry Specialist, you will be responsible for the following key responsibilities: ### Data Extraction and Analysis

• Extract and analyze data from various sources, including databases, spreadsheets, and external data providers
• Develop and maintain data extraction processes to ensure accuracy and efficiency
• Create and maintain data visualizations and reports to communicate insights to stakeholders

### Data Perception and Revealing

• Develop and maintain dashboards and reports that effectively communicate insights to stakeholders
• Collaborate with cross-functional teams to ensure data accuracy and relevance
• Identify and recommend opportunities to improve data quality and accuracy

### Cross-Functional Collaboration

• Collaborate with cross-functional teams, including Product, Marketing, Sales, Operations, Data Science, and Information Technology
• Provide data and analytical support to drive business growth and improve customer experiences
• Develop and maintain relationships with key stakeholders to ensure data-driven decision making

### Data Quality Assurance and Integrity

• Execute thorough quality assurance processes to ensure data accuracy, reliability, and integrity
• Identify and recommend opportunities to improve data quality and accuracy
• Collaborate with cross-functional teams to ensure data consistency and accuracy

### Required Capabilities

• 4+ years of experience in SQL with Large Query or similar platforms
• 4+ years of experience in data visualization tools, including Tableau, Power BI, Looker, or similar platforms
• 4+ years of experience in leading data analysis and interpretation
• 4+ years of experience with Microsoft Office, particularly Excel and PowerPoint

### Preferred Capabilities

• Understanding and experience working with digital media tech stack
• Familiarity with DMPs/DSPs/SSPs/Google Cloud Platform/Adobe Marketing Cloud
• Ability to collaborate successfully within a team and across functions

### Education

• Four-year degree in a relevant field or HS diploma and 4+ years of experience required

What We Offer

* Competitive hourly rate of $23/hour

• Opportunity to work with a leading retail media company
• Flexible, part-time remote work arrangement
• Collaborative and dynamic work environment
• Opportunities for career growth and professional development
• Comprehensive benefits package, including health, dental, and vision insurance, 401(k) matching, and paid time off

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and interpretation, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job