JOB SUMMARY
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, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical models enabling informed business decisions.
ESSENTIAL RESPONSIBILITIES
- Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers.
- Completes work assignments and supports business-specific projects by applying expertise in subject area.
- Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed.
- Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation.
- Interprets data analyses by applying findings to contextual settings.
- Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs.
- Gathers data and information on targeted variables in an established systematic fashion by validating data sources.
- Develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements.
- Prepares data for analytic efforts by integrating and consolidating data.
MINIMUM QUALIFICATIONS
Minimum one (1) year experience in a leadership role with or without direct reports. Bachelor's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field.
ADDITIONAL REQUIREMENTS
- Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management.