Data Analyst 4

Job Description: GT Title: Data Role - Lead New Title; Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers
Identifies and interprets trends and patterns in datasets to locate influences
Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge
Creates specifications for reports and analysis based on business needs and required or available data elements
May provide consultation to users and lead cross- functional teams to address business issues
May directly produce datasets and reports for analysis using system reporting tools.



Typically requires a Bachelors Degree and minimum of 8 or 9 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 6 yrs; Masters + 7 yrs; Associates degree + 9 yrs; High School + 10 yrs.



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 decisionsSupport 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.