Data Analyst

Roles And Responsibilities

As a Data Analyst at Astreya, you will play a pivotal role in optimizing operations through advanced data insights. Your responsibilities will include:

• 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.

A minimum of 5 years of experience in Cloud and Supply Chain is required, or equivalent.

Required Qualifications/Skills

To succeed in this Data Analyst role, you should possess the following qualifications and skills:

• Bachelor’s degree (B.S/B.A) from a four-year college or university and 2 to 5 years’ related experience and/or training; or equivalent combination of education and experience.
• 5 years of experience working in Supply Chain Operations and Cloud (preferred).
• Experience with creating Data-Models and Data-Pipelines.
• Strong experience working with SQL programming, as well as with Data Visualization solutions (i.e. Google PLX, Tableau, Power-BI).
• 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, and patterns in complex data sets.
• Experience working with cross-functional teams (preferably Globally).
• Must possess strong communication skills.

Preferred Qualifications (Nice To Have)

These qualifications will further enhance your candidacy:

• Experience using Google PLX Dashboards.
• Experience working within Cloud-Computing environments (i.e. Demand Forecasting, Capacity Planning).

Key skills/competency

• Data Analysis
• SQL Programming
• Data Modeling
• Data Visualization
• Supply Chain Operations
• Cloud Computing
• Excel Advanced
• Demand Forecasting
• Capacity Planning
• Cross-functional Collaboration