Data Analyst II (Special Project) - Gateway Recruiting, INC.

Summary:

This role is looking for a highly motivated and dedicated Data Science and Visualization specialist to support the Video QC & Compliance and Metadata Operations teams’ data analytics and science needs. In this role, a primary focus is on the Company’s growing Video Operations through content- and user-centric data science solutions that provide insights into operational effectiveness, efficiencies, and excellence.

Responsibilities:

• Develop interactive data visualizations, data pipelines/ETL jobs, and reporting to analyze and present data related to video contents, asset reviews, metadata curations, and operational supports.
• Closely partner with the internal teams within the Video QC & Metadata Operations organization to define metrics, KPIs, and automation strategy while meeting the teams’ data and reporting needs.
• Automate and optimize existing data processing workloads by recognizing complex data structures and technology usage patterns and implementing solutions.
• Focus on scale and efficiency — build and implement innovative data solutions and establish best practices with a start-to-end workflow in mind.

Key Qualifications:

• Excellent interpersonal and communication skills
• Experience in Data Visualization (Tableau, Python required; Splunk a plus), if Javascript and its libraries (e.g., D3, ReactJS, Next.JS) a plus
• Strong experience and knowledge of data wrangling with proficient SQL (Trino, Postgres, Oracle required; SparkSQL, Teradata a plus)
• Experience using statistics to identify trends and anomalies in datasets using statistical techniques required.
• Experience in building robust and scalable data pipelines and ETL jobs with Python, Pandas required; Pyspark and Scala (desired)
• Experience in querying data through API (RESTful or GraphQL), using JSON, ProtocolBuffers, or XML desired; if with API development experience a plus • Experience or working knowledge with Big Data technologies such as Hadoop, Hive, HDFS, Parquet, PySpark, and Spark desired
• Working knowledge of Kubernetes, AWS, or CI/CD development (e.g., Airflow, Jenkins) a plus • Exposure or interest in the UX/UI frontend development (e.g., ReactJS, Typescript) or Machine Learning (e.g., Scikit-Learn, Tensor Flow) a plus.
• An independent learner, insatiably curious, and a creative thinker
• Ability to work both independently and within a team environment.
• Passion for movies, television, sports, fitness, or other video content

Education & Experience:

• Bachelor or Master's degree in a related field, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration, or meaningful industry experience preferred

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