Workforce Management Analyst (Hybrid)

As a Workforce Management Analyst at Protective, key responsibilities include analyzing workforce data to identify trends, developing staffing models, and collaborating with various departments to create effective scheduling plans. You'll also monitor performance metrics, provide data-driven recommendations, and support the implementation of workforce management tools.

To be a strong candidate for the Workforce Management Analyst role at Protective, you'll need a bachelor's degree and 2+ years of relevant experience in data analysis or workforce management. Proficiency in tools like Excel, Power BI, and NICE or similar technologies is highly beneficial.

The Workforce Management Analyst plays a pivotal role in operational success by providing actionable insights derived from data analysis. This role enhances workforce productivity by developing accurate forecasts, monitoring performance metrics, and recommending improvements that directly impact the organization’s efficiency.

In your role as a Workforce Management Analyst at Protective, you will primarily utilize the NICE tool set, Power BI for data visualization, Excel for advanced data manipulation, and SQL for data querying – all crucial for your analysis and reporting tasks.

The targeted salary range for the Workforce Management Analyst position at Protective is between $68,200 and $80,000. Actual salaries may vary based on job location, skills, and experience, along with additional incentives based on performance.

When analyzing workforce data, I start by collecting relevant metrics, followed by using data visualization tools like Power BI to spot trends. I pay close attention to variances and correlations, making sure to present my findings in a storytelling format that can easily guide stakeholders towards actionable decisions.

In my previous roles, I've developed staffing models by analyzing peak customer interaction times and workforce availability. By collaborating closely with teams, I've optimized schedules that align with both operational goals and employee needs, ensuring efficient service delivery.

I focus on tailoring my communication style to the audience by creating clear and visually engaging reports or presentations. I ensure that technical jargon is minimized and that I highlight key takeaways right at the beginning, enabling stakeholders to grasp the critical insights quickly.

To address discrepancies in workforce performance metrics, I first validate the data for accuracy. Then, I investigate the underlying causes, whether it’s a systems issue or a process flaw, and propose data-driven recommendations to rectify the situation and prevent future occurrences.

At my last job, I led the implementation of a new scheduling software that integrated with existing systems. I conducted training sessions, addressed user queries, and over time, we saw a significant increase in scheduling efficiency and employee satisfaction due to better alignment of staff availability with operational demand.

To maintain accuracy in my analyses, I set up systematic data integrity checks and regularly update datasets to reflect the most recent information. I also cross-verify my data with multiple sources and involve team reviews to catch any inconsistencies.

Storytelling is crucial in my analytical work, as it transforms raw data into relatable narratives. By outlining the implications of my findings in story form, I help stakeholders understand how data-driven decisions can impact operations, making it easier for them to visualize outcomes and embrace proposed changes.

In conducting workforce audits, I systematically review existing processes, analyze performance data, and identify areas for improvement. I follow a collaborative approach, involving team members to gather insights and suggestions that can drive meaningful enhancements in our workforce management processes.

I utilize historical data trends, seasonal variances, and predictive analytics to forecast staffing needs effectively. By creating simulation models through tools like Excel, I can present various scenarios that help teams plan for shifts in demand while aligning with budget constraints.

I have significant experience with data visualization tools like Power BI, where I create interactive dashboards that make it easier for stakeholders to understand complex datasets. My goal is always to present data in the most insightful way possible, ensuring that it supports decision-making at all levels.