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

100% Remote Full-time Open now

Are you a detail-oriented and analytical individual with a passion for data-driven insights? Do you thrive in a dynamic and fast-paced environment where no two days are the same? Look no further! We are seeking an experienced Full Stack Data Entry Specialist to join our team at CVS, a leading retail media arm of the fourth largest organization in the US. As a Senior Analyst in our CVS Media Trade (CMX) team, you will play a critical role in driving business growth and decision-making through data-driven insights. You will work closely with cross-functional teams, including Product, Marketing, Sales, Operations, Data Science, and Information Designing, to extract, analyze, and present complex data insights that inform business strategies.

About CVS

CVS is a rapidly growing retail media arm that is revolutionizing the way we think about data-driven marketing. With a strong presence in the US market, we are committed to delivering innovative solutions that drive business growth and customer engagement. Our team is passionate about data, technology, and collaboration, and we are looking for like-minded individuals to join our journey.

Key Responsibilities

As a Full Stack Data Entry Specialist, you will be responsible for: ### Information Extraction

  • Identify and extract relevant information from various sources, including databases, spreadsheets, and external data providers
  • Develop and maintain strong relationships with data vendors and internal stakeholders to ensure seamless data flow
  • Create high-quality reports and dashboards that meet business requirements and drive informed decision-making

### Information Perception and Revealing

  • Design and develop visually appealing and user-friendly dashboards and reports that effectively communicate key insights to stakeholders
  • Ensure data accuracy, completeness, and consistency across all reports and dashboards
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions

### Cross-functional Collaboration

  • Work closely with Product, Marketing, Sales, Operations, Data Science, and Information Designing teams to streamline data collection, storage, and analysis processes
  • Provide data and analytical expertise to support business initiatives and drive growth
  • Develop and maintain strong relationships with internal stakeholders to ensure seamless data flow and collaboration

### Information Quality Assurance and Integrity

  • Execute thorough quality assurance cycles to ensure data accuracy, reliability, and integrity
  • Identify potential data issues and recommend corrective actions to mitigate them
  • Collaborate with data governance teams to develop and maintain data quality standards and best practices

Essential Qualifications

* 4+ years of experience in SQL with Large Query or similar platforms

  • 4+ years of experience in data visualization tools like Tableau, Power BI, Looker, or similar platforms
  • 4+ years of experience in leading data analysis and reporting projects
  • 4+ years of experience with Microsoft Office, particularly Excel and PowerPoint

Preferred Qualifications

* Understanding and experience working with digital media tech stack

  • Familiarity with DMPs/DSPs/SSPs/Google Cloud Platform/Adobe Marketing Cloud
  • Strong collaboration and communication skills, with the ability to work effectively across functions and teams

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

  • Remote, part-time position with flexible scheduling
  • Opportunity to work with a dynamic and fast-paced team in a rapidly growing industry
  • Collaborative and supportive work environment with opportunities for growth and development
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off

How to Apply

If you are a motivated and detail-oriented individual with a passion for data-driven insights, 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

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