CNN is seeking a resourceful analytics oriented Analyst who will be instrumental in fostering a culture of data informed decision-making.
This individual should be self-motivated, work well independently and as part of a team, and be passionate about what he or she does.
The Analyst will create analytic solutions, onboard new data sets and breakdown audience for the digital business.
Reporting/Evaluate existing and develop new metrics, reports, and dashboards for internal audiences; apply both quantitative disciplines and creativity to translate data into actionable insights through data visualization.
Daily Reporting - Run daily health monitoring reports and proactively follow up with appropriate teams when data is outside of established thresholds.
Weekly Reporting - Generate data for the Business Ops and International meetings, GBS weekly summary, and XF team dashboards (including Business, Politics, OTT, and Watch)
Data Management - Define and validate data by working with business partners to ensure data quality and alignment with company-wide data logic/naming conventions.
Work with internal or external data partners to process, organize, and connect various data sources, ranging from ad server data, audience analytics data, performance marketing data, third-party revenue, off-platform revenue, etc.
Develop a deep understanding of the data and the ability to determine the difference between actual performance issues and data integrity errors.
Experience in data/analytics or related field
Advanced Excel Development experience with one of the BI tools (e.g. Looker, Domo, QlikView/QlikSense, Tableau, etc.)
Amazon Web Services (S3, EC2, Redshift, etc.), database, table design, joins, data aggregation, data validation, etc.
Knowledge and/or experience with providing data requirements while working with structured and unstructured data sets.
Key Contributors to Success Effective communicator and collaborator
Strong data visualization skills
Intermediate statistical knowledge
Logical thinker who is able to identify, articulate, and resolve data related issues.
A self-starter who is passionate about getting data, using data, making sense of data, and helping others benefit from making analytics driven decisions.
BA/BS degree in Math/Stats, Computer Science, Engineering, or another related quantitative field
Experience with digital media data, either web or mobile
Familiarity with SQL
Experience with data integration or ETL processing related projects