Marketing Attribution Analyst - Channel Contribution Reporting

The Elite Job; Dubai; Hybrid; AED 180,000 - 300,000; Full time

Benefits offered by this job

Professional development opportunities

Remote or hybrid working arrangements

Upcoming projects on attribution andBI

Career progression opportunities

Job summary

The Elite Job is seeking a detail-oriented Marketing Attribution Analyst to evaluate multi-channel performance and drive data-driven decisions. You will develop attribution models, build dashboards, and deliver reports that highlight campaign impact and ROI across paid, organic, email, and other channels.

You will collaborate with marketing, sales, finance, and BI teams to ensure data quality and provide clear business recommendations.

Qualifications

• Bachelors degree in Marketing, Business Analytics, Statistics, Mathematics, Economics, Information Systems, Data Science, or related field.
• Strong understanding of digital marketing channels and performance measurement.
• Knowledge of attribution concepts, customer journey and channel reporting.
• Experience with spreadsheets and structured datasets, advanced Excel/Sheets functions.
• Familiarity with data visualization and reporting tools (Power BI, Tableau, Looker Studio).
• Working knowledge of SQL for data extraction, filtering, aggregation and analysis is desirable.
• Familiarity with GA4, Google Ads, Meta Ads Manager, CRM platforms, or similar tools.
• Understanding of KPIs like CAC, CPL, CLV, ROAS, ROI; strong analytical abilities.

Responsibilities

• Analyze multi-channel marketing performance including paid/organic media and email.
• Develop, implement, and compare attribution models (first/last/linear/time-decay/position-based).
• Create channel contribution reports and dashboards for stakeholders.
• Ensure reporting accuracy, resolve data inconsistencies, and define standards.
• Collaborate with marketing, sales, finance and BI teams to optimize spend.
• Present insights and actionable recommendations to non-technical audiences.

Skills

Marketing measurement

Data analysis

Excel/Google Sheets

Communication

Problem solving

Education

Bachelor's degree in Marketing, Analytics, Statistics, Economics, or related

Tools

Power BI

Tableau

Looker Studio

SQL

GA4 / Google Ads / CRM tools

Job description

1. Job Summary

The Elite Job is seeking a detail-oriented and analytical Marketing Attribution Analyst – Channel Contribution Reporting to join our marketing analytics team. This role is responsible for evaluating marketing performance across multiple channels, measuring the contribution of individual campaigns to business outcomes, and delivering actionable insights that help improve marketing effectiveness and return on investment (ROI).

The successful candidate will analyze customer journeys, campaign interactions, lead-generation activities, conversions, and revenue data to understand how different marketing channels influence customer acquisition and retention. The role involves working with digital marketing, sales, finance, and business intelligence teams to develop reliable attribution models, maintain accurate reporting dashboards, and identify opportunities to optimize marketing expenditure.

The ideal candidate combines strong analytical thinking with practical knowledge of marketing measurement, data visualization, and campaign performance analysis. They should be comfortable working with large datasets, investigating discrepancies, presenting findings to stakeholders, and translating complex data into clear business recommendations.

As part of The Elite Job, the Marketing Attribution Analyst will contribute to data-driven decision-making by ensuring that marketing investments are evaluated consistently and that channel contribution reporting supports sustainable business growth.

2. Key Responsibilities

Marketing Attribution and Channel Performance

• Analyze the performance of marketing channels, including paid search, paid social, organic search, email marketing, affiliate marketing, display advertising, referral programs, and other customer acquisition channels.
• Evaluate how different marketing touchpoints contribute to lead generation, customer engagement, conversions, and revenue.
• Develop, maintain, and assess attribution approaches, including first-touch, last-touch, linear, time-decay, and position-based attribution models, based on business requirements.
• Help stakeholders understand the strengths and limitations of different attribution methods.
• Identify channel-level performance trends and recommend opportunities to improve marketing efficiency.
• Evaluate how marketing channels interact throughout the customer journey and influence conversion outcomes.

Channel Contribution Reporting

• Prepare recurring channel contribution reports covering campaign performance, conversion rates, customer acquisition costs, revenue contribution, and return on advertising spend.
• Build and maintain reporting dashboards that provide clear visibility into marketing performance across channels and campaigns.
• Consolidate marketing data from multiple platforms and reporting systems to create consistent performance views.
• Monitor reporting accuracy, investigate data inconsistencies, and coordinate corrective actions with relevant teams.
• Establish standardized reporting definitions, measurement frameworks, and documentation to improve consistency across business units.
• Deliver weekly, monthly, and quarterly reports that support marketing planning, budget allocation, and performance reviews.

Data Analysis and Performance Measurement

• Collect, clean, validate, and analyze campaign, website, CRM, sales, and conversion data.
• Use statistical analysis and trend evaluation to identify performance changes, emerging opportunities, and potential reporting issues.
• Assess key performance indicators such as customer acquisition cost (CAC), conversion rate, cost per lead (CPL), customer lifetime value (CLV), return on ad spend (ROAS), and marketing return on investment.
• Compare campaign results across channels, audiences, geographies, devices, and reporting periods.
• Investigate differences between platform-reported conversions and internal business or CRM records.
• Support experimentation, including A/B testing and campaign incrementality analysis, to better understand the actual impact of marketing activities.
• Identify opportunities to improve tracking, data collection, and measurement processes.

Dashboard Development and Data Visualization

• Develop clear and user-friendly dashboards using tools such as Power BI, Tableau, Looker Studio, or similar reporting platforms.
• Create visualizations that communicate channel contribution, campaign effectiveness, conversion trends, and budget performance.
• Automate recurring reports wherever possible to reduce manual work and improve reporting efficiency.
• Maintain reporting templates and analytical documentation to ensure consistency and repeatability.
• Present findings through concise summaries, charts, and recommendations tailored to technical and non-technical audiences.

Cross-Functional Collaboration

• Work closely with digital marketing, paid media, SEO, CRM, sales operations, finance, and business intelligence teams.
• Collaborate with marketing managers to define reporting requirements and establish measurable campaign objectives.
• Partner with data and technology teams to improve tracking implementation, tagging standards, and data integration.
• Communicate analytical findings in a practical manner that supports campaign optimization and budget decisions.
• Respond to stakeholder requests for campaign analysis, channel comparisons, and performance investigations.
• Contribute to continuous improvement initiatives involving marketing analytics, reporting governance, and measurement accuracy.

Reporting Governance and Continuous Improvement

• Maintain accurate records of reporting methodologies, attribution assumptions, and KPI definitions.
• Follow applicable data privacy requirements and internal data-handling policies.
• Identify opportunities to improve reporting automation, data quality, and analytical workflows.
• Monitor developments in marketing measurement and analytics tools to recommend relevant improvements.
• Support the development of standardized performance reporting processes as marketing activities expand.

3. Required Skills and Qualifications

• Bachelors degree in Marketing, Business Analytics, Statistics, Mathematics, Economics, Information Systems, Data Science, or a related discipline.
• Strong understanding of digital marketing channels and campaign performance measurement.
• Knowledge of marketing attribution concepts, customer journey analysis, and channel contribution reporting.
• Experience working with spreadsheets and structured datasets, including advanced Excel or Google Sheets functions.
• Familiarity with data visualization and reporting tools such as Power BI, Tableau, or Looker Studio.
• Working knowledge of SQL for data extraction, filtering, aggregation, and analysis is highly desirable.
• Familiarity with Google Analytics 4 (GA4), Google Ads, Meta Ads Manager, CRM platforms, or other marketing measurement tools.
• Understanding of marketing KPIs, including conversion rates, CAC, CPL, CLV, ROAS, and ROI.
• Strong analytical, quantitative, and problem-solving abilities.
• Excellent attention to detail and a commitment to maintaining accurate reports.
• Ability to identify patterns, investigate discrepancies, and communicate findings clearly.
• Strong written and verbal communication skills.
• Ability to manage multiple reporting requirements and meet deadlines.
• A collaborative mindset and willingness to work with cross-functional teams.
• Commitment to confidentiality, responsible data handling, and professional integrity.

4. Experience

Candidates with approximately 1–4 years of relevant experience in marketing analytics, campaign reporting, digital marketing measurement, business intelligence, or performance analysis are encouraged to apply.

Relevant experience may include:

• Preparing channel performance and campaign contribution reports.
• Analyzing paid media, organic traffic, email marketing, and lead-generation performance.
• Building dashboards and automating recurring reports.
• Working with marketing analytics platforms, CRM systems, and advertising data.
• Evaluating customer journeys and comparing different attribution methodologies.
• Supporting marketing budget optimization through data-driven recommendations.
• Investigating conversion discrepancies and improving reporting accuracy.

Candidates with less experience may also be considered if they demonstrate strong analytical fundamentals, relevant academic projects, practical tool knowledge, or a genuine interest in marketing measurement.

Experience with SQL, dashboard development, data integration, experimentation, or multi-channel marketing analytics will be an advantage.

5. Working Hours

Employment Type: Full-time.

Typical Schedule: Monday to Friday, subject to company requirements.

Working Hours: Approximately 8 hours per day, with the exact schedule confirmed during recruitment.

Work Arrangement: Remote, hybrid, or office-based, depending on the position offered.

Flexibility: Some flexibility may be available to accommodate reporting deadlines, stakeholder meetings, and collaboration across time zones.

Availability: Candidates should be able to attend scheduled team meetings and deliver recurring reports within agreed timelines.

Specific working hours, time-zone requirements, and any applicable shift arrangements will be communicated during the hiring process.

6. Knowledge, Skills, and Abilities

Technical Knowledge

• Understanding of digital marketing measurement and multi-channel campaign performance.
• Knowledge of attribution models and their applications in marketing reporting.
• Ability to work with structured datasets and perform data validation.
• Familiarity with web analytics, advertising platforms, CRM data, and campaign tracking.
• Understanding of UTM parameters, conversion tracking, and basic marketing data governance.
• Ability to interpret business metrics and translate them into useful performance insights.

Analytical Skills

• Ability to evaluate complex datasets and identify meaningful performance patterns.
• Strong numerical reasoning and critical-thinking skills.
• Ability to distinguish correlation from causation and recognize the limitations of attribution models.
• Confidence in comparing channel performance using consistent measurement criteria.
• Ability to investigate unexpected results and recommend practical solutions.

Communication Skills

• Ability to explain technical findings in clear, accessible language.
• Confidence in preparing professional reports and presenting insights to stakeholders.
• Strong documentation skills for maintaining repeatable reporting processes.
• Ability to communicate limitations, assumptions, and potential data-quality issues transparently.

Organizational Abilities

• Ability to prioritize multiple reporting tasks and manage competing deadlines.
• Strong attention to detail when checking calculations, source data, and report outputs.
• Ability to work independently while contributing effectively to a team.
• Willingness to learn new analytics tools and adapt to changing business requirements.
• A proactive approach to identifying reporting improvements and operational efficiencies.

7. Benefits

• Competitive compensation aligned with the candidates skills, experience, and responsibilities.
• Opportunities to work on practical marketing analytics and performance measurement projects.
• Potential remote or hybrid working arrangements, where available.
• Professional development opportunities in marketing attribution, business intelligence, data analytics, and reporting automation.
• Opportunities to strengthen technical skills through exposure to analytics platforms and reporting tools.
• A collaborative working environment with opportunities to engage with marketing, sales, finance, and data teams.
• Opportunities to contribute ideas that improve campaign performance and business decision-making.
• Potential performance-based recognition, subject to company policy and role eligibility.
• Opportunities for career progression based on demonstrated performance, business needs, and available positions.
• Final compensation, benefits eligibility, and employment terms will be explained during the recruitment process.

8. Why Join The Elite Job?

Joining The Elite Job offers an opportunity to contribute to the growing importance of data-driven marketing and measurable business performance.

As a Marketing Attribution Analyst, you will help transform campaign data into insights that enable better investment decisions, stronger marketing strategies, and more effective customer acquisition efforts.

You will have the opportunity to develop expertise in multi-channel attribution, performance reporting, dashboard development, and marketing analytics while collaborating with professionals across different business functions.

We value analytical thinking, accuracy, continuous learning, and the ability to turn complex information into practical recommendations. This role is suitable for professionals who enjoy investigating data, solving business problems, improving reporting processes, and helping organizations understand what drives measurable results.

At The Elite Job, your contribution can help improve the quality of marketing decisions, strengthen reporting transparency, and support a culture of accountability and continuous improvement.

If you are motivated by data, interested in digital marketing performance, and eager to develop your analytical career, we encourage you to explore this opportunity.