Data Analyst II
Astreya
Job Overview
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Job Description
What This Job Entails
We are looking for a Data Analyst II to join our growing team of analytics experts. The hire will be responsible for statistical modeling, and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns. The Data Analyst identifies and captures data from internal and external sources. The Data Analyst will ensure consistency throughout ongoing projects.
Scope
Uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Your Roles And 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.
Required Qualifications/Skills
- 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.
Preferred Qualifications
- Experience using Google PLX Dashboards.
- Supply Chain / Manufacturing / Logistics Background.
- Project Management Experience.
Physical Demand & Work Environment
Must have the ability to perform office-related tasks which may include prolonged sitting or standing. Must have the ability to move from place to place within an office environment. Must be able to use a computer. Must have the ability to communicate effectively. Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers.
Key skills/competency
- Data Modeling
- SQL Programming
- Data Visualization
- KPI Tracking
- Supply Chain Analytics
- Advanced Excel
- Statistical Analysis
- Demand Forecasting
- Data Pipeline Design
- Operational Efficiency
How to Get Hired at Astreya
- Research Astreya's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight specific experience in data modeling, SQL, and advanced Excel for data analysis roles.
- Showcase analytical prowess: Prepare to discuss how you've used data to drive insights and improve operational efficiency.
- Practice behavioral questions: Emphasize your ability to collaborate with cross-functional teams and communicate complex data stories.
- Demonstrate domain knowledge: Familiarize yourself with supply chain, manufacturing, or logistics concepts, especially if preferred.
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