Data Analyst

Job Description

• Analyze 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.
• Used 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.
• Works independently and takes the 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

• 2 Years of experience as a Data Analyst in a fast-paced environment.
• Strong coder with SQL AND Python.
• Okay working with ambiguous data, messy data, and making assumptions.
• Understanding diverse team data needs ex: talking with chemical engineering teams to find out how they store things.
• Some data visualization experience.
• Bill of materials analysis.
• Manufacturing Chemical Data experience - extra nice would be experience with chemicals for shoe bottoms (foams, rubbers, silica, etc).