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