Business Analyst

We are looking for a skilled and detail-oriented Business Analyst with expertise in Labor Analytics reporting that will drive strategic decision making and operational efficiency. This role is pivotal in driving data-informed decision-making across labor and financial operations. The ideal candidate will possess strong analytical capabilities, a deep understanding of labor metrics, and the ability to translate complex data into actionable insights that support organizational and project objectives. Key Responsibilities: • Data Analysis and Insights: - Conduct in-depth data analysis to identify trends, opportunities, and anomalies in labor and financial reporting. Collaborate with business leaders to ensure insights align with organizational and project goals. • Curiosity & Critical Thinking: - Demonstrate a natural curiosity and a drive to ask thought-provoking questions that challenge assumptions and uncover deeper insights. Proactively explore data to identify patterns and connections others might miss. • Stakeholder Collaboration: - Partner with HR, Finance, and Operations leaders to ensure insights are aligned with strategic goals. Integrate feedback from cross-functional teams as needed. • Data Storytelling: - Craft compelling narratives from data to help stakeholders understand the “why” behind the numbers. Present insights in a clear, engaging manner that drives action and aligns with strategic goals. Qualifications: • Education: Bachelor’s degree Data Analytics, Finance, or a related field. Experience: • 3+ years of proven experience as a business analyst, ideally with a focus on HR, labor, and financial reporting. • Strong understanding of financial concepts, labor metrics, and business operations. • Technical Skills: - Advanced knowledge of Excel, Power BI, Qlik, or related tools. • Familiarity with financial and labor management systems (e.g., Workday, Oracle, SAP). - Experience with SQL, data warehousing, and integrating various data sources is preferred, but not necessary. • Preferred Attributes: Excellent communication and collaboration skills. • A natural storyteller with the ability to make data meaningful and memorable. • Inquisitive mindset with a passion for asking the right questions and exploring data from multiple angles. • Ability to manage and analyze large, complex data sets with accuracy and efficiency. • Professional presence with the ability to confidently present insights to senior leadership and cross-functional teams