SayPro Provide high-level insights to leadership

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SayPro Job Description for Ad Performance Analysis Team

Responsibilities:
Provide high-level insights to leadership based on ad performance data

Key Responsibilities

  1. Data Analysis and Reporting
    • Analyze ad performance data from the January SCMR-8 Campaign across various channels (e.g., social media, search engine marketing, display ads, etc.).
    • Provide high-level, actionable insights and performance summaries to leadership and cross-functional teams.
    • Monitor key performance indicators (KPIs) such as impressions, click-through rates (CTR), conversion rates, cost per acquisition (CPA), return on ad spend (ROAS), and customer lifetime value (CLTV).
    • Develop and maintain detailed, easy-to-read dashboards and performance reports using tools like Google Analytics, Tableau, Power BI, or similar platforms.
  2. Campaign Optimization Insights
    • Identify trends, patterns, and opportunities for improving ad performance and campaign effectiveness.
    • Provide recommendations for optimization, A/B testing, and campaign adjustments based on data analysis.
    • Work with the marketing and creative teams to develop new strategies and tactics for future campaigns based on past performance data.
  3. Leadership Reporting
    • Present high-level insights and ad performance summaries to leadership, making complex data digestible for non-technical audiences.
    • Create customized executive-level reports to highlight performance trends, successes, and areas for improvement.
    • Support the development of performance review presentations for stakeholders across various departments.
  4. Collaboration with Cross-Functional Teams
    • Collaborate with the media buying team to align on campaign objectives, targeting, and budgets.
    • Work with the creative team to ensure ad creatives are optimized for performance across different channels.
    • Engage with product teams to provide insights that influence future campaigns or product strategies.
  5. Trend Monitoring and Competitive Analysis
    • Monitor industry trends and competitor ad strategies to ensure SayPro’s ad campaigns are competitive and innovative.
    • Stay up to date with emerging ad technologies, platforms, and best practices to incorporate into campaign strategies.
    • Identify any external factors that could influence ad performance (e.g., seasonality, economic changes, etc.) and provide context for leadership.
  6. Data Integrity and Quality Control
    • Ensure the accuracy and reliability of all data used for reporting and analysis.
    • Conduct regular checks on the performance tracking systems to ensure there are no discrepancies or data inconsistencies.
    • Collaborate with the data engineering team to troubleshoot data issues and ensure clean, actionable insights.
  7. Campaign Documentation and Knowledge Sharing
    • Document key findings, methodologies, and best practices learned from ad performance analysis for future reference.
    • Lead knowledge-sharing sessions within the team to ensure best practices are applied consistently across campaigns.
    • Create ad-hoc reports and deliverables as needed for business stakeholders.

Qualifications

Required Skills & Experience:

  • Bachelor’s degree in Marketing, Business, Data Analytics, Statistics, or a related field.
  • 3-5 years of experience in digital marketing, ad performance analysis, or related fields.
  • Strong proficiency in data analysis tools such as Google Analytics, Tableau, Power BI, Excel, or similar.
  • Familiarity with digital advertising platforms (e.g., Google Ads, Facebook Ads, LinkedIn Ads, programmatic advertising).
  • Expertise in data visualization and reporting to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills with an attention to detail.
  • Excellent written and verbal communication skills, including the ability to present data-driven insights to leadership.
  • Ability to work in a fast-paced environment with tight deadlines.

Preferred Skills & Experience:

  • Experience with advanced statistical methods and techniques for performance analysis.
  • Familiarity with SQL and/or Python for data manipulation and analysis.
  • Knowledge of customer behavior analytics and attribution models.
  • Experience with campaign optimization, A/B testing, and marketing automation tools.
  • Proven experience in ad performance analysis for large-scale campaigns in a digital marketing environment.

Personal Attributes

  • Analytical mindset: Ability to interpret complex data and translate it into clear, actionable insights.
  • Attention to detail: Ensures that reports and analyses are accurate and high-quality.
  • Collaborative: Works well in cross-functional teams and is comfortable with collaborative problem-solving.
  • Strategic thinker: Able to focus on the big picture while also drilling into the specifics of data and campaign performance.
  • Proactive communicator: Able to communicate insights clearly and proactively share findings with leadership.
  • Results-driven: Focused on delivering measurable improvements in campaign performance.

Why Join SayPro?

At SayPro, we foster a dynamic work environment that values innovative thinking, collaboration, and continuous growth. As an Ad Performance Analyst, you will play a vital role in optimizing our advertising strategies, contributing to the success of our campaigns, and providing leadership with the insights needed to drive business success. Join us to make a meaningful impact in the marketing landscape and grow your career with a forward-thinking company.


Application Instructions

Please submit your resume and a cover letter detailing your relevant experience and why you would be a great fit for the Ad Performance Analysis Team at SayPro.


This job description outlines the core responsibilities and qualifications for the Ad Performance Analyst role, focusing on the January SCMR-8 Campaign. The role emphasizes the need for strong analytical skills, the ability to provide high-level insights to leadership, and collaboration with multiple teams to optimize campaign performance.

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