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Experienced Full Stack Data Entry Specialist – Retail Media Insights and Analytics

Remote Full-time Live

At arenaflex, we're revolutionizing the retail media landscape with our innovative approach to data-driven decision making. As a key member of our team, you'll play a vital role in driving business growth and success through the analysis and interpretation of complex data sets. If you're a detail-oriented and analytical individual with a passion for data, we want to hear from you!

About arenaflex

arenaflex is a leading retail media company, dedicated to providing cutting-edge solutions for our clients. With a strong presence in the US market, we're committed to delivering exceptional results and exceeding our customers' expectations. Our team is comprised of talented individuals from diverse backgrounds, united by a shared passion for innovation and excellence.

Job Summary

We're seeking an experienced Full Stack Data Entry Specialist to join our team in New York, USA. As a key member of our data analytics team, you'll be responsible for extracting, analyzing, and interpreting large data sets to inform business decisions. This is a part-time, remote position, offering a competitive hourly rate of $23.

Key Responsibilities

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

  • Identify and extract relevant information from various sources, including databases, spreadsheets, and other data repositories
  • Compile and analyze data to provide insights and recommendations to stakeholders
  • Develop and maintain accurate and up-to-date data sets, ensuring data quality and integrity

### Information Perception and Revealing

  • Design and develop visually appealing and informative dashboards and reports to communicate key findings to stakeholders
  • Ensure precision and clarity in data presentation, empowering informed decision making at all levels of the organization
  • Collaborate with cross-functional teams to streamline data collection, storage, and analysis processes

### Cross-Functional Collaboration

  • Work closely with cross-functional teams, including Product, Marketing, Sales, Operations, and Data Science, to ensure seamless data flow and analysis
  • Provide expertise and guidance on data-related projects and initiatives
  • Foster a culture of collaboration and knowledge sharing within the team

### Data Quality Assurance and Integrity

  • Execute thorough quality assurance processes to maintain the accuracy, reliability, and integrity of data used for analysis and reporting
  • Identify potential data discrepancies and recommend corrective actions to mitigate them
  • Develop and implement data quality control measures to ensure data consistency and accuracy

Essential Qualifications

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

  • 4+ years of experience in data visualization tools, such as 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 Qualifications

* Understanding and experience working with digital media tech stack

  • Familiarity with DMPs/DSPs/SSPs/Google Cloud Platform/Adobe Marketing Cloud
  • Ability to collaborate effectively within a team and across functions
  • Bachelor's degree in a relevant field or equivalent experience

What We Offer

* Competitive hourly rate of $23

  • Part-time, remote work arrangement
  • Opportunity to work with a leading retail media company
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Comprehensive benefits package, including health, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Paid time off and holidays

How to Apply

If you're a motivated and detail-oriented individual with a passion for data, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply Now! Apply for this job

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