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SayPro Job Description for Ad Performance Analysis Team

Data Analyst Responsibilities:
Create visual reports (graphs, charts) to communicate findings to both the marketing and executive teams

Key Responsibilities:

• Ad Performance Reporting & Analysis:
  Conduct thorough analysis of advertising data across various digital platforms (Google Ads, Facebook Ads, etc.) to evaluate the performance of the January SCMR-8 campaign. This includes tracking key performance indicators (KPIs), such as click-through rates (CTR), conversion rates, return on ad spend (ROAS), and impressions.
• Data Collection and Cleaning:
  Gather and clean data from multiple sources (platform reports, CRM systems, etc.) ensuring accuracy and consistency in the dataset. This includes handling large volumes of data and identifying any discrepancies or outliers that could affect analysis.
• Visual Data Communication:
  Design and create visually appealing and easy-to-understand reports using graphs, charts, and dashboards. These reports should clearly communicate findings, trends, and actionable insights to both the marketing and executive teams, helping them make data-driven decisions. Tools such as Tableau, Google Data Studio, or Excel are commonly used.
• Campaign Performance Insights:
  Provide a deep dive into campaign performance, comparing actual results with expected targets. Highlight areas of improvement and success. Use statistical techniques to identify patterns and trends that may be influencing campaign outcomes.
• Collaboration with Marketing & Executive Teams:
  Collaborate closely with the marketing team to understand campaign goals, target audiences, and strategies, and use this understanding to guide your analysis. Regularly present your findings to the executive team, ensuring alignment between data insights and business objectives.
• Optimization Recommendations:
  Based on the analysis, make strategic recommendations to optimize future ad campaigns. This could involve suggesting adjustments to ad creatives, bidding strategies, audience targeting, and overall media spend allocation.
• Reporting Cadence & Ad-Hoc Requests:
  Maintain a regular reporting cadence (e.g., weekly or monthly reports) to keep the team informed on ad performance. Additionally, respond to ad-hoc requests from stakeholders that require deep-dive analysis or additional insights on specific campaigns or metrics.
• Continuous Improvement of Reporting Processes:
  Work towards automating and streamlining reporting processes. Identify areas for improvement and introduce new tools or techniques that will enhance the quality, speed, and efficiency of reports.

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Qualifications & Skills:

• Education & Experience:
  • Bachelor’s degree in Data Science, Marketing, Statistics, Business Analytics, or a related field.
  • At least 2-3 years of experience in data analysis, preferably within the digital marketing or advertising industry.
• Technical Skills:
  • Proficiency in Microsoft Excel (pivot tables, advanced formulas, etc.).
  • Experience with data visualization tools (e.g., Tableau, Google Data Studio, Power BI).
  • Familiarity with Google Analytics and advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, etc.).
  • Strong analytical and statistical skills, including experience working with large datasets.
• Soft Skills:
  • Strong communication skills with the ability to present complex data in a clear, concise, and actionable manner to non-technical stakeholders.
  • Attention to detail and a strong ability to identify trends, anomalies, and opportunities.
  • Ability to work in a fast-paced environment and manage multiple tasks with tight deadlines.
  • Collaborative mindset with a willingness to work across departments to achieve common goals.

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Preferred Qualifications:

• Experience with advanced statistical methods and modeling techniques (e.g., regression analysis, A/B testing).
• Familiarity with CRM software (e.g., Salesforce) and its integration with marketing platforms.
• Knowledge of scripting or programming languages such as SQL or Python for data extraction and automation.

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Performance Indicators:

1. Accuracy & Timeliness:
   Ensure that all reports and insights are delivered within the designated time frame and with a high level of accuracy.
2. Insight Quality:
   Provide actionable insights that lead to the optimization of ad performance, resulting in improved ROAS, CTR, and conversion rates.
3. Stakeholder Satisfaction:
   Maintain high satisfaction levels among the marketing and executive teams, ensuring that the data analysis and reports meet their needs.
4. Continuous Improvement:
   Regularly introduce innovative approaches to improve the data analysis and reporting process, contributing to greater efficiency and effectiveness.

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Why Join SayPro?

At SayPro, we are committed to fostering a data-driven culture where every decision is supported by accurate insights. As a part of our Ad Performance Analysis Team, you’ll have the opportunity to work on high-impact campaigns, collaborate with talented professionals, and shape the future of our digital advertising efforts.

We value curiosity, creativity, and a passion for problem-solving. Join us and help us drive performance through innovative and insightful data analysis.

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[To Apply, please submit your resume and cover letter to [Insert Application Link]]

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This job description outlines the responsibilities, qualifications, and performance expectations for the Data Analyst in the Ad Performance Analysis Team. It highlights the need for an analytical mindset, technical expertise, and clear communication skills to support the team in improving the performance of SayPro’s advertising campaigns.

SayPro Job Description for Ad Performance Analysis Team

Data Analyst Responsibilities:
Analyze large sets of ad performance data

Key Responsibilities:

1. Ad Performance Data Analysis:
   • Analyze large datasets from the SayPro Monthly January SCMR-8 Campaign to measure and assess ad performance across various digital marketing platforms.
   • Examine KPIs (Key Performance Indicators) such as impressions, click-through rates (CTR), conversion rates, cost per acquisition (CPA), return on ad spend (ROAS), and others to evaluate the effectiveness of ad campaigns.
   • Perform in-depth trend analysis to identify performance fluctuations over time and correlate these with campaign elements, market conditions, and audience behavior.
2. Data Interpretation and Reporting:
   • Generate and maintain regular performance reports that provide clear, actionable insights to the marketing, sales, and product teams.
   • Develop and present performance summaries, highlighting key insights and recommendations to improve future campaigns.
   • Provide clear visualization of complex data, translating it into understandable formats for both technical and non-technical audiences.
3. Campaign Optimization:
   • Identify underperforming ad creatives, segments, or platforms and recommend specific optimizations.
   • Support ongoing campaign management by working closely with the marketing team to suggest adjustments to targeting, ad creatives, bidding strategies, and other campaign settings.
   • Test and evaluate new strategies for campaign improvement, including A/B testing of ad creatives, targeting options, and landing pages.
4. Collaboration with Cross-functional Teams:
   • Work closely with the marketing and creative teams to understand campaign objectives and ensure the analysis is aligned with business goals.
   • Collaborate with other analysts and team members to ensure data consistency, accuracy, and alignment across reports and platforms.
   • Assist in the development of data-driven strategies to support marketing and business development objectives.
5. Tool and Platform Management:
   • Utilize industry-standard analytics tools such as Google Analytics, Facebook Ads Manager, and other ad performance tracking platforms to collect, analyze, and report on campaign data.
   • Manage and maintain the setup and configuration of analytics platforms to ensure accurate tracking and reporting across all campaigns.
   • Explore new tools and technologies to enhance the accuracy and efficiency of data analysis processes.
6. Ad-Hoc Analysis:
   • Respond to urgent or time-sensitive requests from management and stakeholders regarding ad campaign performance.
   • Provide ad-hoc analysis when needed for testing new strategies, troubleshooting issues, or addressing specific questions related to ad performance.

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Key Qualifications:

• Education:
  • Bachelor’s degree in Data Science, Marketing, Business Analytics, Statistics, Economics, or a related field.
  • Relevant certifications or training in data analytics tools, platforms, or advertising (e.g., Google Analytics, Facebook Blueprint) is a plus.
• Experience:
  • Proven experience in data analysis, preferably within the advertising, marketing, or digital media space.
  • Experience with ad performance analysis and reporting tools (e.g., Google Ads, Facebook Ads Manager, Google Analytics, Excel, Tableau, etc.).
  • Familiarity with A/B testing methodologies and data-driven decision-making processes in digital marketing campaigns.
• Skills:
  • Strong proficiency in data analysis and statistical methods.
  • Expertise in data visualization, with the ability to present findings in a clear and actionable format.
  • Excellent proficiency in Excel and/or Google Sheets (pivot tables, advanced formulas).
  • Knowledge of SQL, Python, or R is highly desirable for more advanced data manipulation and analysis.
  • Strong communication skills, with the ability to present complex data and insights to both technical and non-technical stakeholders.
  • Attention to detail and the ability to manage multiple tasks simultaneously while meeting deadlines.
  • Critical thinking and problem-solving capabilities with a passion for continuous learning and improvement.

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Performance Metrics:

As a Data Analyst on the Ad Performance Analysis Team, your performance will be measured based on:

• Timeliness and accuracy of campaign performance reports.
• Quality of insights and recommendations provided to the marketing team.
• Improvement in campaign performance following optimization recommendations.
• Collaboration and communication effectiveness with cross-functional teams.

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Additional Information:

• Work Environment: The position is based in [Insert Location] with the option for hybrid or remote work, as per company policy.
• Compensation: Competitive salary, health benefits, and opportunities for career advancement.

SayPro is an equal opportunity employer and is committed to creating an inclusive environment for all employees. We encourage individuals from diverse backgrounds to apply.