Senior Business Analyst
Gruve
Senior Business Analyst
Gruve
AI-driven enterprise services and analytics
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary:
We are seeking a highly motivated Business Analyst / Business Partner to drive enterprise-wide transformation initiatives, including digital transformation and M&A programs. In this role, you will act as the bridge between business and technology teams, translating business needs into actionable solutions, managing cross-functional projects, and identifying opportunities to apply AI and automation to improve operational efficiency.
The ideal candidate combines strong business acumen with a solid understanding of enterprise IT and emerging AI technologies, and brings excellent stakeholder management, communication, and executive presentation skills. You will thrive in a fast-paced environment, manage multiple initiatives at once, and stay focused on delivering measurable business outcomes.
Key Roles & Responsibilities:
Basic Qualifications
Preferred Qualifications
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Gruve AI provides AI-driven solutions for enterprise services, focusing on data analytics, cloud computing, digital transformation, infrastructure management, enterprise security, and identity management. Through consulting and engagement services, it tailors AI and software-development projects for Fortune 100 clients to improve efficiency and deliver measurable results. The company’s approach combines machine learning, data science, and software development to transform how large organizations operate, with a strong emphasis on customer success, resilience, ethics, and a collaborative culture. Its goal is to lead in data and AI innovation while helping clients grow and innovate across industries.
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