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Business Insights Analyst

Job in Buffalo Grove, Lake County, Illinois, 60089, USA
Listing for: G Treasury SS, LLC
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Location: Buffalo Grove

Business Insights Analyst Key Responsibilities Predictive Analytics & Insights

  • Translate business questions into tanning visuals 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.
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    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 the Data Architect and Data Engineer to influence data architecture decisions and prioritize data quality Marshall 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 distills 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 (Sales descenso 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.
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Preferred
  • Experience with in 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.
  • 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…

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