Advertising Data Specialist
Job Description
The candidate will be responsible for:
- Collaborating with sales and technical operations teams to maintain, refine and upgrade our state-of-the-art digital campaign dashboards.
- Helping to define and drive Hearst Television's data visualization and presentation strategy
- Evaluating existing data sources and related products on a regular basis, performing QA and health checks to ensure data integrity.
- Performing ad hoc analysis to support our local sales staff, as well as creating custom visualizations as needed.
- Resolving technical issues that arise with campaign dashboards and vendor partner data feeds.
- Helping to evangelize sales reporting needs and priorities to the product and operations teams.
- Interpreting data to inform decisions and tell accurate stories to our advertisers.
- Experience collecting, integrating, and manipulating new data to be fed into BI tools or data lakes and a basic understanding of data storage and retrieval architecture.
- Strong experience with data analysis and visualization software, e.g., Google BigQuery, Power BI, Domo, Tableau or similar.
- SQL, R or other analysis language proficiency preferred.
- Advanced Excel skills including the ability to perform calculations and automation to process large volumes of data.
- Experience with digital ad campaign/DMP reporting platforms and metrics.
- Strong analytical mindset with a passion for investigative analysis.
- Ability to communicate and document processes and analysis, and clearly communicate results to technical and non-technical teammates.
- Comfortable interacting with sales teams and occasionally with external clients.
- A high level of organization and prioritization; must be able to assess and assign priority to multiple goals, and clearly communicate timelines.
- Proven ability to multitask in a fast paced, fluid environment.
- 3 - 5 years' experience in a digital analytics or digital ad campaign analysis role.
- Project management and goal-setting experience within a digital analytics or analysis environment.
- Bachelor's degree in relevant field or equivalent experience required.
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Date Posted
01/25/2023
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