- Ability to translate customer needs and/or use cases into analytic solutions with minimal oversight.
- Ability to analyze large, complex data sets specific to supply chain and operations and formulate insights for vaguely defined problems.
- Ability to identify, source, and analyze data sets from disparate systems.
- Utilize statistical models and algorithms to produce a range of insights that influence systemic, process, or business-related courses of action.
- Ability to recognize deviations from expected process or systems performance, apply appropriate analytical techniques, and effectively communicate methods and outputs for specific supply chain functions: e.g., Planning, Fulfillment, Procurement, Finance
- Develops advanced dashboards and reports in PowerBI and other visualization tools for stakeholders to consume analysis and insights or collect data-backed insights.
- Identify KPIs that evaluate business effectiveness in a variety of areas
- Enables the process of data automation through various tools - Python, Data Studio, SQL, Excel
- Creates and maintains data models that take raw data sets and transforms them into clean, usable output data sets.
- Ensures analytical reports are developed, tested, and published to production within the designated Data Analytics process timeframe.
- Maintains data hygiene by ensuring quality assurance efforts, defines logic for attribution and equations for calculated metrics.
- Recommends measures to improve efficiency, user adoption and/or quality of Data Analytics services and deliverables.
- Partners with developers to design and build long-term data solutions.
- Develops and maintains relevant areas of corporate data dictionary and maintains inventory of data needs and system interface needs.
- Educates and trains non-data team members about how to access, analyze, and visualize data
- Shares expertise with cross functional departments on data tools and techniques and practices in telling a concise story on data analytic deliverables
- Bachelor degree in Computer Science, Statistics, Engineering, Economics, Business, Applied Math, or related field.
- 4 years of relevant professional and practical experience with Supply Chain and/or Operations analytics
- Cloud computing certification (Azure, AWS, etc.) Required Job Skills
- Basic professional certification with analytics tools (e.g., SAS, R).
- Experience with delivery lifecycle using AGILE methodology.
- SQL, Relational and/or Non-Relational Database Design
- Experience with PowerBI
- Experience with various data analysis tools - Python, Data Studio, SQL
- Ability to identify Key Performance Indicators (KPIs)
- Able to collaborate across the company with all levels of management.
- Excellent written and verbal communication skills
- Ability to develop and present briefings and demos to cross functional teams.
- Ability to work with minimal direction and focus on delivering results in a fast-paced work environment.
- Ability to create achievable project plans, adhere to timeline of project deliverables, and secure acceptance and approval of deliverables from the project stakeholders
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Analytics Specialist with Security Clearance - Columbus, OH, United States - Dunhill Professional Search
Description
Job Details Analytics Specialist Telework Secret Clearance Independently design and develop analytic solutions that investigate both quantitative and qualitative aspects of strategic and tactical service activitiesProvide outputs or results in self-service formats - e.g., dashboards, visuals, graphical displays
Job Responsibilities and Duties
Minimum Qualifications
Job duty assignment requires "Privileged" access, must possess the following:
Clearance:
Secret
Analytics Specialist with Security Clearance professionals in Columbus
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Scott Ciaccia
Video Production/Graphic Design