Analyst 2, Data Analytics & Business Intelligence

Job Description

This position is an in-office role 4 days a week and 1 day remote.

• AI-Driven Forecasting & Planning
• Budget & Financial Performance Optimization
• Performance Management Transformation
• Process Automation & Efficiency
• Advanced Analytics & Modeling
• Strategic Leadership

Responsibilities

• Lead the development and implementation of AI-enabled forecasting solutions.
• Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
• Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
• Drive automation of forecast updates, assumptions management, variance analysis, and reporting.
• Modernize budget development and forecasting processes through automation and AI.
• Create intelligent models that identify risks, opportunities, and performance drivers.
• Create automated budget allocation and investment optimization frameworks.
• Support long-range planning through advanced business and financial modeling.
• Improve planning cycle speed while enhancing transparency and accountability.
• Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
• Create automated scorecard generation and target-setting processes.
• Develop predictive performance indicators to proactively identify areas requiring intervention.
• Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
• Design frameworks that connect operational metrics, incentive programs, and financial outcomes.
• Evaluate and redesign complex business processes to eliminate manual activities.
• Deploy AI agents, workflow automation, and self-service analytics solutions.
• Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
• Standardize tools, methodologies, and operating procedures.
• Establish measurable efficiency targets and track realized value.
• Develop predictive models for sales, demand, and other vital business metrics.
• Conduct exploratory data analysis, hypothesis testing, and pinpoint key business drivers.
• Translate complex analytics into executive-ready recommendations.
• Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
• Collaborate with business leaders to discern data requirements and craft technical specifications for analytics.
• Evaluate data relevance, source alternatives, and ensure robust analytics for stakeholder inquiries.
• Employ self-service tools to analyze complex datasets, extracting actionable business insights.
• Query diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis.
• Merge datasets from varied sources to support thorough business analysis.
• Ensure compliance with data governance policies and standards across analytics practices.
• Exercise independent judgment and discretion in matters of significance.
• Regularly attend meetings and provide feedback.
• Work nights and weekends, variable schedule(s) as necessary.

Qualifications

• Business Operations
• Data Forecasting
• Actionable Insights
• Analytics