Data Analyst II
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Job Description
Data Analyst II responsible for statistical modeling and analysis of datasets for KPIs. Collaborating with teams to optimize resource allocation and improve operational efficiency.
Responsibilities:
- Develop and maintain complex data models and visualizations to track key performance indicators (KPIs) related to demand forecasting, capacity planning, and supply chain operations
- Utilize strong SQL skills to extract, transform, and analyze large datasets from various sources, including internal databases, external APIs, and cloud-based platforms
- Design and implement data pipelines to automate data collection, cleaning, and processing, ensuring data accuracy and integrity
- Conduct in-depth analysis of supply chain and product utilization data to identify trends, patterns, and anomalies, and provide actionable insights to optimize resource allocation and improve operational efficiency
- Collaborate with cross-functional teams, including demand planners, supply planners, and product managers, to understand their data requirements and provide tailored reports and dashboards
- Proactively identify opportunities for process improvement and automation, and develop innovative solutions to enhance data analysis capabilities
- Contribute to the development of processes and procedures to improve data accuracy
- Implement dashboards to drive clear communication around the story being told by the data
Requirements:
- Bachelor’s degree (B.S/B.A) from four-college or university and 3+ years’ related experience and/or training; or equivalent combination of education and experience
- Builds productive internal and external working relationships
- Exercises judgment within defined procedures and practices to determine appropriate action
- Utilize strong SQL skills to extract, transform, and analyze large datasets from various sources, including internal databases, external APIs, and cloud-based platforms
- Creating and modifying macros, as well as creating dashboards using SQL coding
- Experience with Data-Analytics and creating Dashboards
- Excellent written communication skills
- High level of attention to detail
- Advanced Excel skills to include; formulas, functions, pivot tables, lookup and reference formulas (i.e. vlookups), statistical formulas (countifs, sumifs), macros (ability to create new and edit existing), conditional formatting, importing data, creating graphs/charts, etc.
- Ability to independently analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets
Benefits:
- Flexible work arrangements
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