Data Analyst at Careers Integrated Resources Inc

Job Title: Data Analyst
Location: Beaverton, OR
Duration: 06 Months+

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.

Typically requires a Bachelor’s Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 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 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.

· Comments for Suppliers: Must be PDX/Beaverton local - On site schedule