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Collateral Telemetry Data Analyst Jobs (NOW HIRING)

Aquent

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

What You'll Do * Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights. * Develop and maintain ...

Cathay Bank

Senior Collateral Analyst

Los Angeles, CA · On-site

$26.44 - $34.95/hr

Video Clip 1 Video Clip 2 Video Clip 3 GENERAL SUMMARY The Senior Collateral Analyst is responsible ... Monarch Data Mining Software, good interpersonal and communication skills; ability to coach and ...

Menlo Ventures

Data Analyst

Oakland, CA · On-site

$120 - $172/hr

Everlaw is seeking a Data Analyst to transform raw data into actionable insights. This full‑time ... Advise business teams on implementing scalable, robust telemetry and analytics tracking.

Premier Staffing Solution

As a Data Analyst, you will be a key contributor in analyzing telemetry, maintenance, and operational data for forklifts, reach trucks, and other industrial vehicles. Your insights will help guide ...

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Collateral Telemetry Data Analyst information

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How much do collateral telemetry data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for collateral telemetry data analyst in the United States is $38.12, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $51.68 per hour, depending on experience, location, and employer.

What is a collateral telemetry data analyst?

A Collateral Telemetry Data Analyst is a professional who specializes in collecting, analyzing, and interpreting telemetry data related to financial assets used as collateral in transactions. They help financial institutions monitor the status, value, and risk of collateral by leveraging data from various sources, often using advanced analytical tools and software. Their insights support risk management, compliance, and decision-making processes, ensuring that collateral assets are properly tracked and managed. This role typically requires strong analytical skills, attention to detail, and a background in finance or data analysis.

What are the key skills and qualifications needed to thrive as a collateral telemetry data analyst?

To excel as a Collateral Telemetry Data Analyst, you need a solid background in data analysis, statistics, and a relevant degree in fields such as computer science or engineering. Familiarity with data visualization tools (e.g., Tableau, Power BI), programming languages (such as Python or R), and experience with telemetry data systems are typically required. Strong problem-solving, attention to detail, and effective communication skills help analysts interpret complex data and present actionable insights. These competencies are essential for accurately monitoring, analyzing, and reporting on telemetry data to support operational decision-making and risk management.

What are some common challenges faced by a collateral telemetry data analyst when working with large-scale data sets?

A Collateral Telemetry Data Analyst often encounters challenges related to the volume, velocity, and variety of telemetry data generated by financial or technical systems. Ensuring data integrity, filtering out noise, and accurately correlating telemetry signals to collateral status can be complex, especially when integrating data from distributed sources. Additionally, analysts must stay current with evolving data analytics tools and collaborate closely with IT, risk, and operations teams to translate findings into actionable insights and reports. Effective communication and problem-solving skills are essential to overcome these challenges and drive informed decision-making.

What is the difference between Collateral Telemetry Data Analyst vs Data Analyst?

AspectCollateral Telemetry Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Engineering, or related field; familiarity with telemetry dataBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTelecommunications, aerospace, or engineering sectors; working with telemetry systemsVarious industries including finance, healthcare, marketing; analyzing diverse datasets
Employer & Industry UsagePrimarily in industries handling telemetry and real-time dataBroadly used across multiple sectors for data-driven decision making

The Collateral Telemetry Data Analyst specializes in analyzing telemetry data from technical systems, often within engineering or aerospace industries. In contrast, a Data Analyst has a broader scope, working across various industries with diverse datasets. While both roles require strong analytical skills and similar educational backgrounds, the Collateral Telemetry Data Analyst focuses more on telemetry-specific tools and systems, whereas the Data Analyst may work with a wider range of data types and analysis methods.

More about Collateral Telemetry Data Analyst jobs

What job categories do people searching Collateral Telemetry Data Analyst jobs look for?

The top searched job categories for Collateral Telemetry Data Analyst jobs are:

Infographic showing various Collateral Telemetry Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $79,285 per year, or $38.1 per hour.

Data Analyst

Aquent

Foster City, CA • On-site

$60.41 - $67.13/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

Placement Type:
Temporary
Salary:
$60.41-67.13 Hourly
W2
Start Date:
Oct 5, 2026
Aquent is partnering with a pioneering company at the forefront of revolutionizing transportation through advanced autonomous technology. This organization is dedicated to creating a safer, more efficient future, and they are seeking exceptional talent to help drive their mission forward.
Are you passionate about leveraging data to drive real-world operational excellence and shape the future of autonomous mobility? We're seeking a talented Data Analyst to join a dynamic team, where your expertise will directly contribute to optimizing fleet performance, enhancing safety, and ensuring mission success. This is an incredible opportunity to translate complex data into actionable strategies that directly impact the efficiency and reliability of cutting-edge autonomous operations.
What You'll Do
  • Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights.
  • Develop and maintain comprehensive dashboards and recurring reports for stakeholders across fleet operations, safety, and engineering.
  • Define, track, and report on key performance indicators (KPIs) related to fleet performance, mission success, operational readiness, and overall efficiency.
  • Ensure the accuracy, structure, and reliability of datasets used for all analytical purposes.
  • Collaborate closely with operations teams to understand their reporting needs and critical business questions.
  • Translate complex business requirements into robust data insights and reporting solutions, working hand-in-hand with engineering and product teams.
  • Empower self-service analytics by creating well-documented datasets, reports, and dashboards for broader organizational use.
  • Clearly communicate complex data findings and recommendations to both technical and non-technical audiences.
  • Proactively identify inefficiencies, recurring issues, and performance gaps through rigorous data analysis.
  • Provide timely, data-driven recommendations to support critical operational decision-making.
  • Help establish structured feedback loops to capture, analyze, and share operational learnings across the organization.
  • Contribute to the automation of recurring reports and reduction of manual efforts wherever possible.

Must-Have Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
  • 3+ years of professional experience in data analysis, business intelligence, or analytics-focused roles.
  • Strong proficiency in SQL for complex querying, data manipulation, and in-depth analysis.
  • Demonstrated experience with data visualization tools such as Looker, Tableau, or Power BI.
  • Proven ability to work with large datasets, transforming raw data into clear, actionable insights.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication skills, with the ability to present complex insights clearly and concisely to diverse audiences.
  • Ability to collaborate effectively across technical and non-technical teams.
  • Skilled at translating abstract business questions into concrete reporting and analytical solutions.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

Nice-to-Have Qualifications
  • Experience with operational, logistics, or fleet-related data.
  • Proficiency in Python for data analysis and reporting.
  • Familiarity with Databricks or similar analytics platforms.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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