Associate Business Operations Analyst

Delinea•Redwood City, CA

2d•Remote

About The Position

The Associate Project Manager & Business Analyst is an entry-level role on Delinea’s Global Operations team — built for an early-career analyst who loves turning data into decisions and wants to grow into a project leader. Reporting to the VP of Operation and partnering with Program and Project Managers across the business, you’ll sit at the intersection of analytics and execution: building the dashboards and models that show how the business is running and helping drive the projects that make it run better. You’ll work hands-on with data and AI tools, surface insight for leaders, and keep high-visibility operational programs on track. It’s a rare chance to apply real analytics skills from day one, put your work in front of senior leaders, and build a foundation for a career in operations, analytics, or program management at a fast-scaling cybersecurity company.

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.

Nice To Haves

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.

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.