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

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!

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