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Labor Analytics Data Analyst
- Insight Global (Philadelphia, PA)
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Job Description
We are seeking a skilled and detail-oriented Senior Labor Analytics Data Analyst with expertise in Power BI and Excel to join our dynamic team. This role is pivotal in driving strategic decision-making and enhancing operational efficiency through robust labor analytics and financial reporting. This person will design, develop, and maintain Power BI dashboards and Excel models to support labor analytics and financial reporting.
As a key member of the team, you will support the Technology Department by developing data models, establishing baseline KPIs, tracking performance metrics, and crafting compelling data narratives that explain the impact of technology enhancements on labor efficiency and cost optimization. The ideal candidate will have a strong background in analytical storytelling and data-driven decision-making. They will translate complex data into clear, actionable insights and present findings to stakeholders through visual storytelling.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Skills and Requirements
5+ years of experience in Data Analysis (3+ years of experience in financial analysis, labor analytics, or business intelligence roles).
Experience designing and develop interactive Power BI dashboards, including advanced visualizations such as scatter plots to analyze relationships between labor metrics and financial performance.
Use scatter plots and other visual tools to identify trends, outliers, and correlations in workforce data, supporting data-driven decision-making.
Collaborate with stakeholders to define use cases where scatter plots and other statistical visuals can provide deeper insights into labor efficiency and technology impact.
Build and maintain data models and visualizations that support exploratory analysis and performance tracking.
Optimize Power BI reports for performance, including data refresh strategies, query optimization, and efficient data modeling.
Experience working with KPIs, data visualization, and storytelling through financial data. Experience in workforce and labor optimization- Knowledge of labor management systems (LMS) or workforce management platforms.
Familiarity with DAX and Power BI Service (publishing, sharing, and managing reports). null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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