Senior Business Intelligence Analyst
7 days ago
Job Summary:
The Senior Data Analyst - Field Operations Planning serves as an analytical partner to the business, responsible for building, presenting, and partnering on people and data analytics enabled solutions. This role involves generating insights, identifying changes to people programs and workforce structures, and maximizing the footprint for anticipated growth.
Key Responsibilities:
Data Gathering and Assessment
- Collaborate with subject matter experts to access information on locations, role information, headcount, hiring, and turnover within the organization.
- Partner with leadership and HR to understand key indicators that help identify location capacity, staffing needs, and shift scheduling opportunities.
- Utilize external labor market and skills availability, projecting future needs.
- Actively participate with the Field Op's Team by providing unique perspectives on critical data and highlighting correlations between location capacity, labor capacity, and other key metrics.
Project Based Analytical Support
- Perform quantitative and qualitative analysis using traditional and advanced analytical models, tools, and techniques, including trending, correlation, budgeting/financial planning, forecasting, and what-if scenario analysis.
- Effectively communicate results and data-driven recommendations/proposals to business partners.
Process Documentation, Recurring Processes, and Reporting
- Execute recurring reporting requests.
- Maintain and support the upkeep of existing analytics and reporting.
Business and Financial Coordination and Analysis
- Collaborate with HR functional experts and business leadership to develop key metrics, BI, and Advanced Analytical solutions that influence/enable decision making across the enterprise.
- Lead customer partnership/interactions through functional design & requirements gathering, expert recommendations, communication, and training in order to maximize the impact of analytical tools.
- Define, design, develop, and deploy dashboards, reports, and workforce planning tools with appropriate security models.
- Coordinate and execute the data wrangling, data engineering, security standards, and automation required to maximize impact and minimize required maintenance.
Enterprise Solutions
- Investigate trends, best practices, benchmarks, and out-of-industry examples to identify opportunities and approaches to utilize in analysis.
- Collect and review existing primary and secondary research and analyses, industry periodicals, company information, public information, academic literature, and other sources to answer questions, shape analytical plans, and supplement current analyses.
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