Data Reporting Analyst IV - WA

About the role

This individual contributor is primarily responsible for driving strategic data-informed decisions; gathering data and information on targeted variables in an established systematic fashion; preparing data for analytic efforts; developing, implementing, and automating business and reporting solutions; and interpreting data analyses.

Responsibilities

- Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback. - Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities. - Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; and providing context related to data interpretations and/or limitations as appropriate. - Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; and cleaning and creating final data set(s) for analysis. - Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation. - Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables. - Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.

Requirements

Minimum one (1) year experience in a leadership role with or without direct reports. Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics, data reporting, business intelligence, or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Doctorate degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field. Master's degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field.

Qualifications

- Ambiguity/Uncertainty Management - Attention to Detail - Business Knowledge - Communication - Critical Thinking - Cross-Group Collaboration - Decision Making - Dependability - Diversity, Equity, and Inclusion Support - Drives Results - Facilitation Skills - Health Care Industry - Influencing Others - Integrity - Learning Agility - Organizational Savvy - Problem Solving - Short- and Long-term Learning & Recall - Teamwork - Topic-Specific Communication - Business Planning - Data Extraction - Data Visualization Tools - Project Management - Relational Database Management - Statistical Programming Language