Director, Analytics and Insights

Compensation

: $192,290.00 - $192,290.00 /year *

Employment Type

: Full-Time

Industry

: Executive Management



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CNN is seeking a resourceful analytics oriented Director who will be instrumental in fostering a culture of data informed decision-making. You should be self-motivated, work well independently and as part of a team, and be passionate about what he or she does. You will create analytic solutions, onboard new data sets and breakdown audience for the digital business. You will be a data governance champion and work with other teams to refine data quality and metric variances, drive a data driven culture. This role will report to the VP of Business Operations.

The Daily

Build & lead CNN Digital Business Insights team, which includes segmenting audience, valuation of audience cohorts and platforms
Ability to initiate and drive projects to completion; be focused and result-driven
Manage and prioritize reporting requests and new data ingestion
Create and hand off operational reporting while evolving analytics to bring automation and insights Data Management
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.
Define and validate data by working with business partners to ensure data quality and the alignment with company-wide data logic/naming conventions
Reporting - Work with cross-functional teams to gather data, reporting, and analysis needs; apply critical thinking to either create new long-term solutions or support one time only ad hoc requests when needed; stay informed of changing business rules to maintain up-to-date and great quality reports and analyses
Evaluate existing and develop new metrics, reports, and dashboards for various internal audiences; apply both quantitative disciplines and creativity to translate data into actionable insights through data visualization, behavioral pattern recognition, predictive modeling, etc.
Cross-Functional Support - Frequently connect with data/report consumers to understand ever-changing business trends/technologies, train new business team members to use data/reports, share new analytic development, etc.
Self-start data exploration and propose new data/analytic opportunities that could potentially grow business, improve operational efficiency, or create new product offerings
Contribute to overall company data/analytics strategies by supporting cross training and knowledge sharing, as well as encouraging data-driven decision making process

The Essentials
Understanding of Data Engineering, Data Governance, Data Modeling, ETL and the ability to mine new data sources (API or web scraping)
BA/BS degree in Math/Stats, Computer Science, Engineering, or other related quantitative field
Minimum five years of experience in data/analytics
Experience with Looker, Domo, QlikView/QlikSense, Tableau, or any other BI tools; familiarity with SQL, Amazon Web Services (S3, EC2, Redshift, etc.), database, table design, joins, data aggregation, data validation, etc.
Excellent logical thinker who is able to identify, articulate, and resolve data related issues
Self-starter, comfortable initiating projects from design to execution with minimal supervision
Ability to effectively and efficiently communicate and present issues, project progress, and analysis results
A self-starter who is passionate about getting data, using data, making sense of data, and helping others benefit from making analytics driven decisions
Excellent attention to detail, analytical capacity/problem solving and communication skills

Nice-to-Haves
Experience with digital media data, either web or mobile
Advanced degree in Math/Stats, Computer Science, Engineering, or other quantitative field
Professional or graduate school level experience with building statistical or data mining models to recognize patterns, define associations, score past performance/behavior, predict future performance/behavior, etc. using Python StatsModel, Scikit-Learn, R, or other open source modeling tools
Experience with data integration or ETL processing related projects
Experience with writing Python scripts - Experience with using Hadoop, Hive, Spark, Parquet, or other Big Data storing/processing/computing systems


Associated topics: donor, endowment, fundraise, government, marketing, mba, media, presale, product market, twitter * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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