Growth Analytics Manager — Customer Insights & Dashboards

Western Union; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Paid Time off

Medical, Dental and Life Insurance

Parental Leave

Global Adoption Assistance

401K

Job summary

Western Union is seeking a Manager, Customer Analytics to serve as a key strategic partner to the Digital GTM organization. This role delivers deep analytical insights that drive customer growth, retention, revenue optimization, and performance across digital corridors and regions.

The position will lead customer cohort analysis, forecasting support, financial planning models, and performance diagnostics while transforming complex customer and transactional data into actionable business

Qualifications

• 5+ years of experience in analytics, business intelligence, strategy, finance, consulting, growth analytics, or related fields.
• Bachelor's degree in Analytics, Economics, Statistics, Mathematics, Finance, Engineering, Data Science, Business, or related discipline.
• Master's degree in Analytics, Data Science, Economics, Finance, Statistics, Business Administration, or related field preferred.

Responsibilities

• Analyze customer acquisition, activation, engagement, retention, transaction behavior, and revenue trends across digital corridors and regions.
• Identify key drivers of business performance and quantify the impact of growth initiatives.
• Monitor and communicate emerging business risks, opportunities, and changes in customer behavior.
• Deliver insights and recommendations that support strategic decision making and performance improvement.
• Develop and maintain customer cohort models to evaluate acquisition quality, retention trends, and long-term customer value.
• Partner with FP&A teams on forecasting, budgeting, and long-range planning activities.
• Build financial models that assess growth opportunities, investment decisions, and expected business outcomes.
• Support scenario planning and sensitivity analysis for strategic initiatives.
• Develop executive-level dashboards and KPI reporting frameworks using business intelligence and visualization tools.
• Create automated reporting solutions that improve visibility and reduce manual reporting efforts.
• Ensure reporting consistency, data accuracy, and alignment with business definitions.
• Deliver clear and concise performance updates for leadership reviews.
• Partner with GTM leaders to evaluate business initiatives, customer programs, market opportunities, and pricing strategies.
• Conduct root cause analyses to explain business performance changes and recommend corrective actions.
• Translate complex analytical findings into clear business recommendations and executive presentations.
• Support strategic planning and growth initiatives through data-driven analysis.
• Serve as a trusted analytics partner to Product, Marketing, Finance, Pricing, and Operations teams.
• Gather business requirements and translate them into analytical approaches and reporting solutions.
• Present findings and recommendations to senior stakeholders and leadership teams.
• Influence decisions through objective, data-backed insights.

Skills

Customer Analytics

Cohort Modeling

Retention Analysis

CLV Modeling

Business Performance Analysis

Financial Forecasting

FP&A Support

SQL

Executive Reporting

Data Visualization

KPI Development

Statistical Analysis

Excel Financial Modeling

Education

Bachelor's degree in Analytics, Economics, Statistics, Mathematics, Finance, Engineering, Data Science, Business, or related discipline

Tools

SQL

Tableau / Power BI

Excel Financial Modeling

Job description

Western Union is seeking a Manager, Customer Analytics to serve as a key strategic partner to the Digital GTM organization. This role delivers deep analytical insights that drive customer growth, retention, revenue optimization, and performance across digital corridors and regions.

The position will lead customer cohort analysis, forecasting support, financial planning models, and performance diagnostics while transforming complex customer and transactional data into actionable business