Sales & Revenue Analytics Manager II

About Blackhawk Network

Today, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com.

 

This position may be performed remotely anywhere within the United States except for the State of Alaska, North Dakota, or South Dakota. Employees located within 50 miles of a BHN office will be considered a "Hybrid" employee and are required to come into the office 2 days per week based on office schedule.

Overview

Build and lead the centralized analytics capability that provides the analytics & insights to facilitate data-driven decision making across the BHN organization, with strong emphasis on revenue growth & acceleration. This role owns the analytical infrastructure, insights, and intelligence that leadership needs to answer strategic questions, identify growth opportunities, and drive business performance. Use data to grow the funnel and win rate.

 

Partner with executives across Sales, Marketing, Product, Customer Success, and Finance to translate business questions into analytical frameworks, and analytical findings into actionable strategies

Responsibilities

Analytics Capability & Infrastructure Development

• Build and scale end-to-end analytics function including strategic analysis, operational reporting, and insights delivery
• Establish analytical standards, methodologies, and best practices across the organization
• Determine appropriate balance of deep-dive analysis, automated reporting, and self-service capabilities
• Create scalable systems and processes for insight generation and distribution
• Establish data quality standards and governance for customer, revenue, and operational data
• Partner with Data Engineering on architecture, integration, and platform strategy
• Embrace a culture of curiosity, rigor, and business impact

Strategic Analytics & Revenue Intelligence

• Build frameworks that answer executive-level business questions
• Develop comprehensive understanding of customer behavior, segmentation, and lifecycle
• Identify growth opportunities, expansion patterns, and risk factors across customer base
• Build predictive capabilities for customer outcomes (expansion, churn, lifetime value)
• Translate complex data into insights that drive strategic decisions

Cross-Functional Partnership & Enablement

• Establish collaborative model: Analytics provides insights → Business units determine execution
• Partner with functional leaders to inform strategy, prioritization, and investment decisions
• Create shared definitions, metrics, and frameworks that align cross-functional teams
• Enable teams with self-service tools, training, and analytical support
• Drive analytical literacy and data-driven culture across the organization

 

Key Outcomes

• Analytics capability scales with business complexity and strategic needs
• As we grow, we grow in complexity and how we optimize for sustained growth
• Analytical function operates as a competitive advantage for the organization
• Leadership has data-backed answers to strategic questions about growth, performance, and opportunity
• Lines of business have trusted strategic insights partner that informs their decision-making
• Cross-functional teams leverage analytical insights to drive measurable business results
• Organization operates with shared understanding of customers, segments, and success metrics

Qualifications

 

• Minimum 4 Year Degree; MBA a plus
• Minimum +8 years of experience in modeling and analytics
• Superior analytics skills, with a proven ability to synthesize data and develop meaningful insights
• Strong written and verbal communicatil skills with ability to work cross-functionally in a highly collaborative environment
• Strong interpersonal skills; comfortable interacting with various levels of management

We seek candidates who not only demonstrate curiosity and adaptability in emerging technologies but have also successfully implemented and utilized AI tools to enhance their work, improve processes, or deliver measurable results.  Our teams embrace continuous learning and the thoughtful integration of AI to create meaningful impact – for our employees and