Job Details

Business Insights Analyst

Key Responsibilities:

Predictive Analytics & Insights

• Translate business questions into visual insights and proactive analytics that anticipate trends, opportunities, and risks.

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

• Identify patterns 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-if" modeling to support strategic planning initiatives.

Business Partner Enablement

• Partner with Business Partners to understand their analytical needs and business challenges.
• Enable Business Partners to utilize the 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

• Identify data gaps and root causes impacting analytical 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 that distils complex data into clear, compelling narratives.

• Develop standardized reporting that evolves with business needs.

• Optimize dashboard 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.

• Advanced proficiency in data visualization tools (Tableau, Power BI, Looker, or similar platforms).

• Strong SQL or Python skills for data extraction, manipulation, and analysis.

• Demonstrated experience with predictive analytics, statistical modeling, 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.

• Proficiency in 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 to identify patterns, trends, and insights from complex datasets and translate them into business value.

• Proactive Mindset: Focus on anticipating needs and identifying opportunities before they become apparent through 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 while maintaining perspective on strategic objectives.

About Us:
GTreasury is 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 volume. In December 2025, Ripple acquired GTreasury for $1 billion, combining our proven treasury expertise with Ripple's 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 experienced Business Insights Analyst 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 the Revenue Operations team, the Business Insights Analyst 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 Analyst works with Business 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 decisions, identify data gaps, and improve data governance practices.

The ideal candidate demonstrates strong analytical thinking, advanced data visualization skills, and the ability to proactively identify trends and opportunities before they become apparent through traditional reporting.