Our client, is a known sport brand looking for a Data Analyst to join their team!
Contract - 09/2024 - 03/2025
Hybrid
Located in Beaverton, OR
$52/hr
- 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.