Data Analyst

Job Description:
• 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.
• 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.
• Strong Analyst with an Architecture/Engineering background. Need the person to partner with current state SME's to understand and document current state and challenges.
• Then collaborate with Architecture, Product and Engineering to design a future state in line with client’s Architecture/ Engineering direction.

Tools that will be used:
• SQL / NoSQL
• Snowflake
• APIs
• Postman
• JSON / JSON responses
• Teradata