Job Description:
We are seeking an experienced Senior Data Analyst to lead the development of a cutting-edge marketing core reporting and insights framework. You will collaborate closely with the team to build unified datasets, interactive dashboards, and standardized scorecards that drive planning, problem-solving, and decision-making across global marketing operations.
About the Role:
This role reports to the Director of Global Marketing Analytics & Strategy and works in partnership with cross-functional stakeholders to deliver data-driven alignment across global marketing operations. The ideal candidate will have 4-6+ years of experience in Marketing Analytics, Business Intelligence, or related data-focused roles, with expertise in Tableau, SQL, and data consolidation and integration.
Responsibilities:
* Lead planning, development, and deployment of the SSOT framework.
* Consolidate and integrate data from multiple marketing systems into unified datasets (SSOT Data Cube).
* Write advanced SQL queries (ETL/ELT workflows, dbt, Snowflake) to extract, transform, and analyze data.
* Design and build interactive, automated dashboards in Tableau to drive insights and accessibility.
* Engage in technical decision-making with the development team during SSOT implementation.
* Own tasks on the SSOT Roadmap and ensure milestone execution.
* Create standardized performance scorecards using predefined templates.
* Proactively detect and resolve data integrity issues throughout development.
* Maintain documentation and promote best practices (Tableau, SQL, SSOT methodology).
* Provide technical guidance and collaborate closely with team members on analytical solutions
Required Skills & Qualifications:
The ideal candidate will have a solid grasp of data warehousing concepts, data modeling, and project management fundamentals. They will also have excellent analytical, problem-solving, and attention-to-detail skills, as well as strong communication and collaboration abilities. A background in creating dynamic reporting templates and scorecards in Tableau is highly desirable.
Nice-to-Haves / Additional Qualifications:
Familiarity with data engineering best practices and toolkit, experience in marketing systems or campaign-related data workflows, and hands-on experience with automated data pipelines and visualization maintenance are all valuable assets for this role.