Responsibilities
- Develop and execute the organization's analytics roadmap aligned with business objectives and growth strategies.
- Lead, mentor, and develop a team of analysts responsible for reporting, dashboard development, and business analytics.
- Establish best practices for data governance, reporting standards, analytical methodologies, and performance measurement.
- Partner with senior leadership to identify strategic opportunities and business challenges where analytics can drive value.
- Prioritize analytics initiatives and allocate resources to maximize business impact.
- Oversee the integration and management of data across multiple ERP systems, business units, and external data sources.
- Drive the creation and maintenance of scalable data models and consolidated reporting structures.
- Ensure data quality, consistency, reliability, and governance across all reporting and analytical platforms.
- Collaborate with IT, Finance, Sales, and other functions to improve data architecture and accessibility.
- Lead the development and maintenance of enterprise reporting solutions that provide actionable insights into sales performance, pricing effectiveness, profitability, market trends, and operational KPIs.
- Drive automation and standardization of reporting processes to improve efficiency and scalability.
- Ensure stakeholders have timely access to accurate and meaningful business performance metrics.
- Establish KPI frameworks that measure business performance across functions.
- Oversee the design and deployment of cross-functional dashboards utilizing Power BI and other visualization tools.
- Deliver executive-level dashboards that enable proactive monitoring of business performance and strategic initiatives.
- Continuously improve dashboard adoption, usability, and business value across the organization.
- Lead advanced analytical initiatives including forecasting, segmentation, profitability analysis, predictive modeling, and scenario planning.
- Identify trends, risks, opportunities, and root causes through statistical and business analysis.
- Translate complex analytical findings into concise recommendations that support pricing strategies, sales decisions, product portfolio optimization, and financial planning.
- Partner with business leaders to quantify business opportunities and measure initiative effectiveness.
- Serve as a trusted advisor to Sales, Pricing, Finance, Product Management, Operations, and Executive Leadership teams.
- Facilitate data-driven discussions and strategic planning sessions.
- Develop business cases and performance analyses supporting growth initiatives, pricing actions, customer profitability improvements, and market expansion opportunities.
- Present findings, recommendations, and strategic insights to senior leadership.
- Identify opportunities to leverage emerging technologies, automation, AI, and advanced analytics capabilities.
- Lead initiatives to improve reporting efficiency, analytical sophistication, and organizational data literacy.
- Drive a culture of continuous improvement in processes, tools, and analytical methodologies.
Requirements
- Bachelor's degree in Statistics, Data Analytics, Economics, Finance, Business, Information Systems, Mathematics, or related field required.
- 5-8+ years of progressive experience in analytics, business intelligence, finance analytics, pricing analytics, or data management.
- Advanced proficiency in Power BI, Tableau, or similar business intelligence platforms.
- Advanced SQL development and data modeling expertise.
- Strong experience with Excel, Power Query, and financial modeling.
- Experience integrating data across ERP environments such as Oracle, SAP, Dynamics, NetSuite, or similar platforms.
- Knowledge of data warehousing, ETL processes, and database structures (Fabric).
- Proven ability to lead and develop high-performing analytical teams.
- Strong business acumen with the ability to connect analytical findings to financial and commercial outcomes.
- Exceptional problem-solving, critical thinking, and strategic planning capabilities.
- Ability to influence cross-functional stakeholders and drive organizational alignment.
- Excellent communication and presentation skills with experience presenting to executive leadership.
- Ability to manage multiple priorities and operate effectively in a fast-paced, dynamic environment.
- Demonstrated ability to turn complex data into actionable business recommendations.
Nice to Have
- Master's degree preferred.
- 2-5 years of leadership or people management experience preferred.
- Experience supporting commercial organizations including Sales, Pricing, Finance, and Product Management.
- Manufacturing, packaging, foodservice, or distribution industry experience preferred.
- Experience with predictive analytics, statistical modeling, and forecasting methodologies preferred.
- Familiarity with Python, R, AI-enabled analytics, or data science tools is a plus.
Benefits
- 401(k) plan with company match
- comprehensive medical, dental, and vision insurance
- flexible spending and health savings accounts
- paid vacation and sick days
- paid parental leave
- paid holidays
- wellness program
