Data Analytics Specialist
5 days ago
We are seeking a highly skilled Data Analytics Specialist to join our team at Ampac Fine Chemicals. As a Data Analytics Specialist, you will be responsible for providing technical analysis, curated data sets, and reporting tools in a fast-paced environment. You will collaborate with business SMEs to accelerate building analytics-driven production pipelines.
Key Responsibilities:
- Design, develop, test, and implement Analytics reports, databases, and/or dashboards and visualizations supporting company-wide Analytics projects and ad-hoc requests.
- Deliver meaningful insights, trends, and analysis across all Quality Systems areas using a variety of internal and external data sources.
- Use data to tell stories by creating visually appealing reports, dashboards, and presentations for internal customers.
- Collaborate with multiple departments to collate data sources for integrated data pools.
- Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions.
- Manage portfolio of existing and future datasets and dashboards and deliverables.
- May be responsible for authoring data analytics framework, best practices, and procedures.
- Deliver data and insights through interactive, creative, and professional visual graphics built on large static and live data sets.
- May Coordinate problem resolution and reconciliation across multi-functional boundaries.
- May Develops ad hoc reports within the computer system to retrieve information for review and verification purposes.
- May perform data input from source documents into database.
- May require ability to read and interpret blueprints, standard operating procedures, and other function specific documents.
- May provide work leadership to operational data support personnel.
Requirements:
- High School Diploma or GED and 12 years relevant experience.
- Bachelor of Science degree or a similar field with four years relevant experience OR Master of Science with two years relevant experience.
- Educational preparation or applied experience in at least one of the following areas: Process Engineering, Statistics, Mathematics, Computer Science, Data Science, or other related quantitative discipline.
Desired Skills:
- Expert Level knowledge of Microsoft Office and calculations.
- Expert knowledge in PowerBI or other BI interfaces; as well as, utilizing BI with excel.
- Advanced knowledge of data dashboard and visualization technical development.
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