Data Analyst 2

Provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. Access and integrate data for reporting to establish data standards, quality and reliability.

Education:

BS/BA Degree in mathematics, statistics, computer science, or a related field.

Work Experience:

Minimum 4 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards

Demonstrated Skills & Abilities:

Strong knowledge and skill in Business Objects and Tableau Writing of queries, and reports, using R and SQL Seeing and understanding the story data tells Presentation and data storytelling Works with minimal to moderate oversight and meets established deadlines Delivers defined projects with regular oversight Problem solving, debugging/troubleshooting and the designing and implementation of solutions to complex technical issues Thrives in both a team environment and as an individual contributor

Specific Certifications, Licenses:

Prefer data management, data quality, or data visualization certification This level of Data Analyst will work on data coming from multiple systems, will integrate both structured and unstructured data for the creation of standardized dashboards and reporting. They must understand the relationship of the data from the various sources for integration. This level will also perform ad hoc, deep dive analytical analysis, and interpretation. Understand the Data Defining what the data is, where it is coming from, how it will be captured, and how it will be consumed Data Quality Assessment Validation of data quality including sources, reliability, completeness, validity, and uniqueness Organize the Data Address accessibility, usability, data modeling & structuring, aggregation, field definition & use, statistical validity, data warehouse creation Configuring Data for Accessing Channeling the data to where it is needed, predictive/statistical modeling, query building, data sources, quality assurance Reporting Using business requirements to tell the story, developing dashboards & reports that are actionable and measurable, quality assurance Security & User Acceptance Audience access, viewing including how the data will be received, communications, instruction on data use Outcomes/Insights Data that enables business leaders to make informed decisions