Data Analyst

Key Responsibilities

• Collect, validate, and analyze large datasets from multiple sources including ERP, CRM, and operational systems.
• Develop dashboards and recurring reports using BI tools (e.g., Power BI, Tableau, Looker) to support Finance and cross-functional leadership.
• Build and maintain queries and data models to support reporting accuracy, consistency, and scalability.
• Identify trends, anomalies, and performance drivers; translate findings into clear, actionable recommendations for senior leadership.
• Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and reporting frameworks.
• Support forecasting and scenario modeling through advanced analytics to inform strategic and operational decisions.
• Automate manual reporting processes to improve efficiency, reduce error risk, and free capacity for higher-value analysis.
• Ensure data integrity, governance, and documentation standards are maintained across all reporting outputs.

Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
• 1–3 years of experience in data analytics, business intelligence, or a related role.
• Demonstrated ability to translate complex data into clear, concise insights for non-technical stakeholders.
• Advanced proficiency in Microsoft Excel required.
• Experience with BI tools (Power BI, Tableau, or equivalent); ability to build and maintain production-ready dashboards.
• Strong communication skills with the ability to present findings and recommendations to Finance leadership and cross-functional teams.
• Analytical rigor and meticulous attention to detail; strong problem-solving capability.
• Ability to manage multiple priorities simultaneously in a fast-paced environment.
• Intellectual curiosity and a continuous process improvement mindset.

Skills & Abilities

• Required: Advanced proficiency in Microsoft Excel; experience with BI tools (Power BI, Tableau, or equivalent); ability to build and maintain production-ready dashboards; strong communication skills; analytical rigor and meticulous attention to detail; strong problem-solving capability; ability to manage multiple priorities simultaneously in a fast-paced environment; intellectual curiosity and a continuous process improvement mindset.
• PREFERRED: Experience working with ERP systems (NetSuite, SAP, Oracle, or similar); familiarity with SQL or scripting languages (Python, R) for data extraction and transformation; background in a manufacturing, energy, or operationally complex environment.