SayPro Process and present complex ad performance data

SayPro Job Description for Ad Performance Analysis Team

Data Analyst Role: Process and present complex ad performance data in a user-friendly format

Key Responsibilities:

1. Data Collection and Processing:
   • Collect ad performance data from various platforms (e.g., Google Ads, Facebook Ads, Instagram, LinkedIn, etc.).
   • Cleanse and preprocess raw data for analysis, ensuring that data quality is maintained and inconsistencies are addressed.
   • Work with data engineers to automate data collection processes where applicable.
2. Ad Performance Analysis:
   • Perform in-depth analysis of the January SCMR-8 Campaign data, examining KPIs such as Cost Per Click (CPC), Click-Through Rate (CTR), Conversion Rate (CVR), Return on Ad Spend (ROAS), and impressions.
   • Identify trends, patterns, and anomalies within the campaign data, and assess how these impact overall campaign success.
   • Segment the analysis by various demographics, regions, and devices to uncover insights specific to different audiences.
3. Reporting and Visualization:
   • Create comprehensive, user-friendly reports that summarize key findings from the analysis, highlighting successes, areas for improvement, and actionable insights.
   • Develop interactive dashboards using tools like Power BI, Tableau, or Google Data Studio to present ad performance metrics in a visually appealing way.
   • Ensure that reports and dashboards are easily understandable for non-technical stakeholders.
4. Campaign Optimization Recommendations:
   • Provide actionable recommendations based on data analysis to optimize ad performance for future campaigns.
   • Advise on adjustments to bidding strategies, targeting options, ad creatives, and budget allocation.
   • Collaborate with the Creative and Campaign Management teams to align recommendations with campaign goals.
5. Ad hoc Analysis and Cross-Functional Collaboration:
   • Perform ad-hoc analyses as needed to answer specific business questions or address unforeseen challenges.
   • Work closely with the Marketing and Campaign Management teams to ensure that ad performance insights are integrated into campaign strategies.
   • Communicate findings and recommendations clearly to internal stakeholders, ensuring alignment with business objectives.
6. Continuous Learning and Improvement:
   • Stay up-to-date with industry trends, tools, and technologies related to ad performance analysis.
   • Continuously seek ways to improve data analysis techniques and reporting processes to ensure high-quality, efficient outputs.

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Skills and Qualifications:

Essential:

• Educational Background: Bachelor’s degree in a relevant field (e.g., Statistics, Data Science, Marketing, Economics, etc.) or equivalent experience.
• Experience: Minimum of 2 years of experience in data analysis, specifically in ad performance or digital marketing analytics.
• Technical Skills:
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Google Data Studio).
  • Advanced proficiency in Microsoft Excel, including pivot tables, VLOOKUP, and other advanced functions.
  • Strong experience with SQL or other query languages for data extraction and manipulation.
  • Familiarity with Google Analytics, Google Ads, Facebook Ads, and other digital advertising platforms.
• Analytical Skills: Strong ability to identify trends and patterns in data, with a sharp eye for detail and accuracy.
• Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex data insights to non-technical audiences.

Desirable:

• Experience with Python, R, or other programming languages for data analysis.
• Familiarity with campaign management tools such as SEMrush, Moz, or similar platforms.
• Experience working with A/B testing and experimentation to optimize ad performance.
• Familiarity with attribution models and advanced statistical analysis.

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Why Join SayPro?

• Growth and Development: SayPro provides ample opportunities for career growth and skill development in the field of digital marketing and data analysis.
• Innovative Environment: Be part of a company that is constantly pushing the envelope with data-driven insights and cutting-edge technology.
• Collaborative Team: Work with a team of passionate professionals who are committed to delivering high-quality results.
• Competitive Benefits: Enjoy a competitive salary, flexible working hours, and opportunities for continued education and professional growth.

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Application Process:

To apply for this role, please submit your resume along with a cover letter detailing your experience with ad performance analysis and any relevant tools you have worked with. You may also be asked to provide a sample report or dashboard showcasing your previous work in data analysis.