Business Insights Analyst

Business InsightsAnalyst

Key Responsibilities:

Predictive Analytics & Insights

• Translate business questions into visual insights and proactive analytics thatanticipatetrends opportunities and risks.

• Develop predictive models and forecasting frameworks to support strategic decision-making across GTM functions.

• Identifypatterns and anomalies in data that signal emerging opportunities or potential challenges.

• Build forward-looking dashboards and reports that enable teams to act proactively rather than reactively.

• Create scenario analysis and what-ifmodelingto support strategic planning initiatives.

Business Partner Enablement

• Partner with Business Partners to understand their analytical needs and business challenges.
• Enable Business Partners toutilizethe full value of available tools and data through training documentation and ongoing support.
  

• Provide analytical support for strategic initiatives campaign optimization pipeline management and performance tracking.

• Translate technical analytics into business-friendly insights that drive actionable recommendations.

• Help develop self-service reporting capabilities that empower Business Partners to access insights independently.

Data Quality & Governance

• Identifydata gaps and root causesimpactinganalytical accuracy and business insights.

• Collaborate with Data Architect and Data Engineer to influence data architecture decisions and prioritize data quality improvements.

• Document data quality issues and work cross-functionally to implement sustainable solutions.

• Contribute to data governance standards definitions and best practices.

• Validate data integrity across systems to ensure reporting accuracy and reliability.

Visualization & Reporting

• Design and build interactive dashboards and visualizations.

• Create executive-level reporting thatdistilscomplex data into clear compelling narratives.

• Develop standardized reportingthat evolveswith business needs.

• Optimizedashboard performance and user experience to maximize adoption and value.

Required Experience & Qualifications:

• 3-5 years of experience in business intelligence data analytics or related roles within a SaaS or technology environment.

• Advancedproficiencyin data visualization tools (Tableau Power BI Looker or similar platforms).

• Strong SQLor Pythonskills for data extraction manipulation and analysis.

• Demonstrated experience with predictive analytics statisticalmodeling or forecasting techniques.

• Proven ability to translate business questions into analytical frameworks and actionable insights.

• Experience working with CRM systems (Salesforce preferred) and marketing automation platforms.

• Strong understanding of sales marketing and customer success metrics and KPIs.

• Excellent communication skills with ability to present complex data to non-technical audiences.

Preferred:

• Experience within treasury financial services or enterprise SaaS software environment.

• Proficiencyin statistical programming languages (Python R) for advanced analytics.

• Experience with ETL processes and data pipeline development.

• Knowledge of revenue operations metrics sales funnel analytics and customer lifecycle analytics.

• Background in business analysis management consulting or strategic planning.

Key Competencies:

• Analytical Thinking: Ability toidentifypatterns trends and insights from complex datasets and translate them into business value.

• Proactive Mindset: Focus onanticipatingneeds andidentifyingopportunities before they becomeapparentthrough traditional reporting.

• Business Acumen: Understanding of revenue operations sales processes and go-to-market strategies.

• Storytelling: Skill in crafting compelling data narratives that drive decision-making and action.

• Collaboration: Ability to build strong partnerships across functions and influence without direct authority.

• Problem Solving: Creative approach to addressing data gaps quality issues and complex business questions.

• Continuous Improvement: Commitment to enhancing analytical capabilities data quality and user experience.

• Attention to Detail: Precision in data analysis whilemaintainingperspective on strategicobjectives.
  
  

About Us:
GTreasuryis a global leader in treasury management systems with over four decades of experience serving 800 customers across 160 countries processing $12.5 trillion in annual payment December 2025 RippleacquiredGTreasuryfor $1 billion combining our proven treasuryexpertisewith Ripples digital asset infrastructure to modernize corporate finance.

This strategic acquisition enables us to help CFOs and treasurers unlock idle capital process real-time cross-border payments and manage both traditional and digital assets at scale within a compliant feature-rich platform. As we enter this transformative phase of growth we are seeking an experiencedBusiness InsightsAnalyst to transform business questions into actionable insights through predictive analytics enabling data-driven decision-making across our go-to-market teams.

Position Overview:
As part of theRevenue Operationsteam theBusiness InsightsAnalyst serves as a forward-looking analytics expert focused on predictive insights rather than reactive reporting. This role translates complex business questions into visual insights and proactive analytics that drive strategic decisions and revenue growth.

The BI Analystworks withBusiness Partners (Sales Marketing Operations) to maximize the value of available tools and data while collaborating with the Data Architect and Data Engineer to influence data architecture decisionsidentifydata gaps and improve data governance practices.

The ideal candidatedemonstratesstrong analytical thinking advanced data visualization skills and the ability to proactivelyidentifytrends and opportunities before they becomeapparentthrough traditional reporting.

Required Experience:

Manager