Associate Business Operations Analyst

Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization. The Associate Business Operations Analyst role is an entry-level position focused on turning data into decisions, building dashboards, and coordinating operational initiatives to enhance business efficiency.

Responsibilities:

• Build and maintain dashboards, reports, and models that turn operational data into clear insight for the team and senior leaders — using tools like Excel, Claude, or Power BI
• Translate business questions and stakeholder requirements into analyses, dashboards, and recommendations — connecting data to decisions for executive teams
• Pull, clean, and analyze data from multiple systems to spot trends, risks, and opportunities, and tell the story behind the numbers
• Identify and build automations — using AI assistants, scripting, and modern tools — that eliminate manual work and compound the team’s productivity over time
• Partner with Program and Project Managers to plan, track, and coordinate operational initiatives — owning project tasks, timelines, action logs, and status updates
• Prepare materials and reporting for operating reviews — weekly status, steering committees, quarterly summits and leadership updates — ensuring the data is accurate and current
• Coordinate meetings and operating cadences: scheduling, building agendas, capturing notes and decisions, and following up on action items to closure
• Document and improve processes and workflows, helping the team standardize and scale how work gets done across a global organization

Requirements:

• A bachelor's or master's degree in business analytics, data analytics, information systems, business, or a related field — recent and upcoming graduates are encouraged to apply
• 0–3 years of experience (including internships, co-ops, or graduate projects) in analytics, business analysis, project coordination, or operations
• Hands-on experience working with data — comfort with Excel and at least one visualization tool such as Power BI
• A knack for translating business needs into clear analysis, dashboards, and recommendations, and for presenting findings to both technical and non-technical audiences
• Curiosity about AI and automation, and an interest in using modern tools — including AI assistants and agentic workflows — to work smarter
• Strong organization and attention to detail, with the ability to juggle multiple tasks and deadlines
• Excellent written and verbal communication and a collaborative, cross-functional mindset
• A self-starting, results-oriented attitude and a genuine desire to learn and grow
• A master's degree or specialized coursework in business or data analytics — for example machine learning, predictive and prescriptive analytics, process and supply-chain analytics, or simulation
• Exposure to cybersecurity, SaaS, fintech, or other data-rich, fast-moving industries
• Experience building data pipelines or dashboards or working with modern data-stack tools such as Snowflake, dbt, or GitHub
• A portfolio of analytics work — academic, internship, competition, or personal projects — in any domain you're passionate about, from finance and fraud to sports analytics
• Interest in AI engineering, process automation, or building tools that make teams faster