OA - Data Analyst

Ocean Advisor Data Analyst

Description

Data Technologist

Company

Ocean Advisor

Target Start Date

June 1, 2026

Location

Laguna Niguel, CA (Hybrid)

Compensation

$100,000 – $110,000

Role Overview

Ocean Advisor is seeking a dedicated Data Technologist to serve as the vital link between our maritime clients and our engineering team. Much like a Petroleum Technologist in the oil and gas industry, your primary mission is "Data I/O"—managing the intake, sanitization, and organization of critical client data to ensure it is ready for high-level analysis and system integration.

This is a role for a "Data Purist"—someone who finds genuine satisfaction in transforming messy, real-world datasets into clean, structured assets. If you love the "nitty-gritty" of data work and enjoy collaborating with both clients and technical teams, this is your ideal environment.

Key Responsibilities

• Data Intake & Management: Act as the primary point of contact for clients sending over raw data (CSVs, spreadsheets, and manual reports).
• Data Sanitization: Review, clean, and reformat client data to meet internal engineering standards, ensuring accuracy and consistency.
• Engineering Collaboration: Work closely with the software engineering team to organize data structures and ensure seamless "stitching" of sensor and client information.
• Pipeline Coordination: Manage and implement the flow of data through internal systems and tracking tools to ensure no information is lost or delayed.
• Quality Assurance: Identify anomalies or errors in raw data and communicate directly with clients to resolve discrepancies.

Required Qualifications

• Experience: 3–5 years of experience in a data-centric role (Data Technician, Petroleum Technologist, or Data Coordinator).
• Technical Literacy: Proficient in Excel and CSV manipulation.
• SQL Knowledge: Familiarity with SQL and basic database concepts is highly preferred to assist in data organization.
• Education: Associate’s degree or professional diploma. We value practical experience and a steady hand over high-level academic theory.
• Soft Skills: High attention to detail and strong communication skills. You must be comfortable explaining data requirements to clients and technical requirements to engineers.

Compensation

The base pay range for this role is $100,000 – $110,000 per year.