Analyst, Data Management & Visualization
Role Overview
Builds and maintains interactive dashboards and visualizations that provide insights into media performance, creative effectiveness, and audience behavior.
Works with analysts, media planners, and other stakeholders to turn reporting needs into user-friendly dashboards, under senior team direction.
Key Skills for This Role
Full Job Posting
Position summary
Builds and maintains interactive dashboards and visualizations that provide insights into media performance, creative effectiveness, and audience behavior.
Works with analysts, media planners, and other stakeholders to turn reporting needs into user-friendly dashboards, under senior team direction.
Dashboard development
- Build and deploy interactive dashboards and visualizations in tools such as Tableau, Power BI, Looker, DOMO, or Datorama.
- Follow designs and requirements set with senior team members and apply performance standards to keep dashboards efficient.
Data integration
- Connect dashboards to databases, APIs, and cloud storage.
- Maintain and extend ETL pipelines and build straightforward new pipelines with senior review.
- Monitor data quality, troubleshoot routine integration issues, and escalate recurring or upstream problems.
Maintenance and documentation
- Provide day-to-day maintenance and support for dashboards, troubleshoot issues, and implement prioritized updates based on user feedback.
- Document dashboards, data sources, and pipelines using team templates and standards.
Desired skills and experience
- 1–2 years of dashboard development and data visualization experience.
- Hands-on experience with at least one visualization tool such as Tableau, Power BI, or Looker.
- Familiarity with data warehousing concepts; working SQL knowledge; Python or another data manipulation language is ideal.
- Exposure to data integration and ETL processes; media or advertising platforms such as Google Analytics or CM360 are a plus.
- Problem-solving, clear communication, teamwork and independent work on well-defined tasks, and time management across projects.
- Understanding of data visualization best practices.
- Cloud data platform experience such as AWS, Azure, or GCP, and version control experience such as Git, are bonuses.
Compensation
- Salary range is $50,000–$60,000 per year.
Workplace
- Flexible hybrid work model.
- Employees must work in the office at least three days per week; additional in-office days may be required.
Benefits
- At least 37 paid days off, including vacation and monthly wellness days, four-day long weekends, summer half-day Fridays, and meeting-free Friday afternoons.
- Formal training and development opportunities and access to a global agency network.
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