Sales Analytics Manager

Vitamix•Olmsted Township, OH

19h•Hybrid

About The Position

Vitamix is seeking a Sales Analytics Manager who is responsible for transforming sales data into a strategic narrative that drives commercial growth. This role serves as the primary bridge between data ingestion and executive decision making, providing the interpretation and commentary necessary to validate or educate the leadership team on performance trends. The Manager will leverage data and collaborate with cross-functional partners to ensure that sales leadership has a proactive, insight-driven view of the business.

Requirements

5 years experience in sales forecasting, budgeting, or financial analysis
Bachelors Degree in Finance, Business, Economics, or related field
Proficient in MS Office, advanced Excel skills
Proficient in forecasting tools (i.e. Demantra, Vena) and data visualization tools (e.g. tableau)
Skilled at quickly diagnosing issues, identifying root causes, and developing and implementing effective solutions.
Ability to break down complex information, identify key elements, and assess their validity and relevance.
Ability to draw valid inferences from available information, understand the implications of different interpretations, and apply knowledge to new situations.
Ability to express ideas clearly, confidently, and succinctly in both formal and informal settings.
Ability to establish, maintain, and cultivate positive relationships with individuals, teams, and external stakeholders to foster a collaborative environment
Ability to adjust quickly to changing priorities, new information, and diverse situations, while remaining focused on achieving goals.
Demonstrated ability to analyze workflows, identify inefficiencies, and implement process improvements to enhance efficiency and reduce costs.
Consistently maintains high standards of quality and accuracy across different tasks and projects.
Demonstrated ability to inspire and motivate others by clearly communicating vision, fostering positive relationships, and providing opportunities for growth and development.
Consistently recognizes and acknowledges achievements, creating a supportive and motivating team environment.
Ability to analyze situations, anticipate challenges, develop innovative solutions, and align actions with long-term goals.
Demonstrated understanding and application of key business principles, including strategic thinking, financial literacy, and market awareness.
Delegates tasks and responsibilities, ensuring clear expectations, providing necessary support, and holding individuals accountable for outcomes, while fostering a culture of trust and empowerment.
Ability to sit up to 8 hours per day, with walking and standing required frequently
Visual acuity is required to perform activities such as: preparing and analyzing data, viewing a computer terminal, reading documents, reports, and emails
Repetitive hand movements for tasks like typing or assembly

Responsibilities

Own the output and strategic analysis of Retailer Point of Sales (POS) data.
Partner with the Finance/BI team to ensure seamless data ingestion, focusing your efforts on interpreting performance, identifying risks, and highlighting growth opportunities.
Collaborate with BI team to cross-reference market-level data (IRI/Circana) with internal performance to provide a holistic view of the category.
Develop and maintain dashboards that prioritize actionable insights over raw data output.
Provide high-impact commentary and develop the story for all sales reports sent to leadership.
Proactively approach the sales team with interpretations of data trends to either validate existing strategies or educate the team on emerging market shifts.
Lead sales reviews by presenting the root causes of sales variances and provide recommendations to leadership.
Partner with Supply Chain and Finance to develop data-driven sales forecasts, providing the context (promotional impact, seasonality) that raw models may miss.
Analyze variances between actuals and forecasts, presenting the underlying business drivers to improve future planning accuracy.
Support the Annual Operating Plan (AOP) by providing volume projections backed by historical performance insights.
Manage and mentor sales analysts, shifting their focus from basic report generation to high-level analytical story telling.
Set high standards for data integrity and presentation, ensuring all team outputs are executive-ready and insight-heavy.