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Marketing Data Entry

Proppel
Full-time
Remote
Worldwide
πŸ“ˆ Marketing Analytics

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Data Entry

πŸ”Ή Company: Proppel

πŸ”Ή Location: Argentina

πŸ”Ή Job Type: Remote

πŸ”Ή Category: πŸ“ˆ Marketing Analytics

πŸ”Ή Date Posted: Wed Apr 02 2025

πŸ”Ή Experience Level: 0-2 years

πŸ”Ή Remote Status: 100% Remote

πŸ“Œ Essential Job Details

πŸš€ Job Overview

Key aspects of this role include:

  • Supporting performance tracking and reporting for marketing campaigns.
  • Maintaining accurate campaign data to enhance marketing insights.
  • Enabling marketing teams to optimize campaign performance through data.
  • Interacting with various data entry and analytics tools.

ASSUMPTION: This role is designed for individuals looking to begin a career in digital marketing analytics, providing foundational experience in data entry and management for marketing contexts.

πŸ“‹ Key Responsibilities

βœ… Update daily performance trackers in Google Sheets for multiple clients.

βœ… Pull and organize data from ad platforms, including Meta and Google Ads, for analysis.

βœ… Utilize Supermetrics to automate data collection and reporting processes.

βœ… Create and maintain basic performance tables using Excel, Google Sheets, and Google Slides.

βœ… Support marketing decisions with structured data insights.

ASSUMPTION: These responsibilities focus on repetitive and structured tasks, which implies the need for a methodical and detail-oriented approach.

🎯 Required Qualifications

Education: Not specified

Experience: 0-2 years, preferably in a similar role.

Required Skills:

  • Experience working with ad platforms like Meta and Google Ads.
  • Proficiency in Google Sheets and Excel.
  • Strong attention to detail.

Preferred Skills:

  • Ability to perform one-off data analyses using pivot tables.
  • Experience building dashboards in Looker.

ASSUMPTION: The absence of a specific education requirement indicates that skills and practical experience may be weighted more heavily than formal education credentials.

πŸ’° Compensation & Benefits

Salary Range: USD salary offered (exact figure not specified).

Benefits:

  • 100% remote work.
  • 20 days of paid time off, plus US holidays.

Working Hours: 40 hours per week.

ASSUMPTION: The compensation is positioned to attract early-career professionals interested in remote work flexibility and US-based holiday schedules.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Staffing and Recruiting

Company Size: 11-50 employees, indicating a close-knit work environment.

Founded: Not specified

Company Description:

  • Focus on boosting Marketing & Operations teams with remote talent.
  • Cost-saving solutions for clients.
  • Operates in the LATAM market to serve US and UK clients.

Company Specialties:

  • Not specified

Company Website: https://www.weareproppel.com/

ASSUMPTION: As a staffing and recruiting firm, Proppel likely values diverse talent pools and aims to provide clients with competitive, region-specific advantages.

πŸ“Š Role Analysis

Career Level: Entry-level

Reporting Structure: Reporting to marketing team leads and analysts.

Work Arrangement: Fully remote, allowing flexibility in geographical location.

Growth Opportunities:

  • Development in data analytics skills.
  • Potential for progression to more analytical roles.
  • Exposure to international digital marketing campaigns.

ASSUMPTION: The role allows candidates to gain significant exposure in analytics within the marketing field, potentially facilitating career growth in digital marketing.

🌍 Location & Work Environment

Office Type: No physical office requirement due to remote work.

Office Location(s): London, England, and Buenos Aires, Argentina locations noted, though not required for this role.

Geographic Context:

  • Remote work provides broad geographic flexibility.
  • Argentina is part of the operational reach for Proppel.
  • Company's headquarters are in London, UK.

Work Schedule: Aligns with typical US business hours, providing international exposure.

ASSUMPTION: The international nature of the company might offer the applicant cross-cultural working experiences.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Initial CV screening.
  • Online interview with HR.
  • Technical assessment or practical exercise.

Key Assessment Areas:

  • Data entry accuracy.
  • Analytical and reporting skills.
  • Familiarity with marketing metrics.

Application Tips:

  • Ensure CV is in English as per requirements.
  • Highlight experience with ad platforms and data analysis tools.
  • Emphasize attention to detail and analytical skills.

ATS Keywords: Remote work, Data Entry, Google Sheets, Google Ads, Digital Marketing, Analytics.

ASSUMPTION: Successful candidates are likely those who meet the specific skill set and can demonstrate their analytical capabilities effectively through the assessment process.

πŸ› οΈ Tools & Technologies

  • Google Sheets and Excel for data entry and management.
  • Supermetrics for data automation and reporting.
  • Ad platforms such as Meta and Google Ads for data extraction.

ASSUMPTION: Proficiency in these tools suggests a foundation in analytic processes rather than advanced technical expertise.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Commitment to client satisfaction.
  • Agility in service delivery.
  • Cultural sensitivity in recruitment practices.

Work Style:

  • Independent but collaborative remote working style.
  • Flexibility to adjust to client needs and schedules.
  • Strong organisational capabilities to manage multiple tasks.

Self-Assessment Questions:

  • Do you thrive in remote work environments?
  • Are you detail-oriented with data entry tasks?
  • How do you approach repetitive tasks efficiently?

ASSUMPTION: Candidates suited for this job are likely those who can manage themselves effectively in a remote setting while maintaining high accuracy and productivity levels.

⚠️ Potential Challenges

  • Managing time effectively in a remote setting.
  • Ensuring data accuracy with high-volume tasks.
  • Staying updated with the latest analytics tools and trends.
  • Navigating cross-cultural communication barriers.

ASSUMPTION: The challenges highlight the necessity for autonomous work habits and proactive communication in a global work environment.

πŸ“ˆ Similar Roles Comparison

  • Higher focus on data entry rather than data strategy compared to other analytics roles.
  • More foundational role with potential growth into strategic analytical positions.
  • Emphasis on tactical execution over long-term planning.

ASSUMPTION: The role is an entry point into data-related positions, allowing for specialization in digital marketing analytics with experience.

πŸ“ Sample Projects

  • Streamlining data extraction from Meta and Google Ads for a large-scale marketing campaign.
  • Automating Google Sheets updates with Supermetrics for time efficiency.
  • Creating visual reports in Google Slides to present campaign insights.

ASSUMPTION: Sample projects typically involve improving efficiencies in data handling and reporting for better decision-making processes.

❓ Key Questions to Ask During Interview

  • How does Proppel support remote work for new employees?
  • What training does the company provide for analytics tools?
  • How are performance goals set and evaluated?
  • Can you describe a typical day in this role?
  • What growth opportunities does the company offer?

ASSUMPTION: These questions help understand the integration into the remote work environment and identify potential career advancement paths.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Ensure your CV is in English to meet application requirements.
  • Prepare to discuss your experience with key tools during the interview.
  • Highlight any relevant project work in your application.
  • Subscribe to Proppel's Candidate Newsletter for continued job alerts and resources.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.