Data Analyst 5

Description : Hybrid

• Lead to the accomplishment of key goals across consumer and commercial analytics functions.
• Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
• Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
• Validate key performance indicators and build queries to quantitatively measure business performance.
• Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
• Develop data governance standards from data ingestion to product dictionaries and documentation.
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.
• Organize and transform information into comprehensible structures.
• Use data to predict trends and perform statistical analysis.
• Use data mining to extract information from data sets and identify correlations and patterns.
• Monitor data quality and remove corrupt data.
• Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing.
• Improve existing processes through automation and efficient workflows.
• Build and deliver scalable data and analytics solutions.
• Work independently and take initiative to identify, explore and solve problems.
• Design and build innovative data and analytics solutions to support key decisions.
• Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
• Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

Requirements :