Data Analysis Admin

Position Overview

We are looking for a tech-savvy *Data Analysis Admin* to optimize project administration and reporting workflows for our Oil & Gas contract. This role is designed for a data professional who bridges the gap between traditional project administration and cutting-edge automation. You will handle massive datasets, track project KPIs, and utilize advanced AI tools to streamline documentation and reporting.

Key Responsibilities

* *Advanced Data Management:* Build, maintain, and audit complex Excel models to track project progress, man-hours, procurement pipelines, and cost controls.

* *AI Integration & Automation:* Deploy and manage *Agentic AI tools* (e.g., AI agents, autonomous workflows, custom LLM prompts) to automate repetitive administrative tasks, summarize technical documents, and flag project anomalies.

* *Reporting & Dashboards:* Transform raw project data into actionable insights, creating weekly/monthly executive dashboards and KPIs for project leadership.

* *Document Control Assistance:* Assist in auditing project document registers, ensuring metadata is accurate and easily retrievable using automated parsing tools.

* *Process Optimization:* Continuously look for ways to reduce manual data-entry errors by scripting or leveraging modern AI productivity suites.

Requirements & Qualifications

* *Education:* Bachelor’s degree in Business Administration, Data Science, Information Technology, or a related field.

* *Experience:* 3–5 years of administrative or data-centric experience, ideally within an industrial, engineering, or Oil & Gas environment.

* *Excel Expertise:* *Expert-level proficiency in MS Excel* (Power Query, Pivot Tables, advanced formulas like XLOOKUP/INDEX-MATCH, and VBA/Macros).

* *AI Technical Skill:* *Advanced experience with Agentic AI tools* and workflows (e.g. AI automation agents like Zapier/Make with OpenAI/Anthropic APIs, or enterprise AI assistants).

* *Skills:* Analytical mindset, high attention to detail, strong communication skills, and the ability to interpret technical engineering terminology.

Work Location: In person