Senior Data Analyst
4 weeks ago
Position: Data Analyst (Data Scientist)
Location: Austin, Texas (Hybrid)
Pay Rate: $45-$52/HR
Contract: 1 Year W2
Our client is looking for care a highly motivated and dedicated Data Science and Visualization specialist to support AMP Video QC & Compliance and Metadata Operations teams’ data analytics and science needs. In this role, a primary focus is on our client’s growing Video Operations through content- and user-centric data science solutions that provide insights into operational effectiveness, efficiencies, and excellence.
Key Qualifications:
• Excellent interpersonal and communication skills
• Experience in Data Visualization (Tableau, Python required; Splunk 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
• Experience in querying data through API (RESTful or GraphQL), using JSON, Protocol Buffers, 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
Role 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 AMP 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
Education & Experience
Bachelor's 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
Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
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