Business Insights Analyst

GTreasury•Buffalo Grove, IL

21h

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.