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Entry Level Open Source Intelligence Analyst Jobs in Philadelphia, PA

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Support analytics, reporting, and data science initiatives through the delivery of trusted data ... intelligence and visualization tools such as Power BI or Tableau * Participation in open-source ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ

$115K - $138K/yr

Support analytics, reporting, and data science initiatives through the delivery of trusted data ... intelligence and visualization tools such as Power BI or Tableau * Participation in open-source ...

USCS

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Support analytics, reporting, and data science initiatives through the delivery of trusted data ... intelligence and visualization tools such as Power BI or Tableau * Participation in open-source ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

Support analytics, reporting, and data science initiatives through the delivery of trusted data ... intelligence and visualization tools such as Power BI or Tableau * Participation in open-source ...

Alliance

Entry Level Technician

Paulsboro, NJ · On-site

$19.05/hr

... source of emissions and volatile hazardous air pollutants ... Perform and record calibrations on analyzers before use * Perform preventative maintenance and ...

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All JobsOpen Source Intelligence Analyst JobsEntry Level Open Source Intelligence Analyst JobsEntry Level Open Source Intelligence Analyst Jobs in Philadelphia, PA

Entry Level Open Source Intelligence Analyst information

See Philadelphia, PA salary details

$51.5K

$99.5K

$147.8K

How much do entry level open source intelligence analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level open source intelligence analyst in Philadelphia, PA is $99,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $124,100.00 per year, depending on experience, location, and employer.

What does an entry level open source intelligence analyst do?

An Entry Level Open Source Intelligence (OSINT) Analyst collects, analyzes, and interprets publicly available information to help organizations make informed decisions. This role involves researching data from sources like news articles, social media, public records, and websites to identify trends, threats, or relevant insights. Analysts often support security, law enforcement, or business operations by preparing reports and briefings based on their findings. Entry-level analysts typically use specialized tools and follow strict ethical guidelines to ensure their work is accurate and legal.

What are the key skills and qualifications needed to thrive as an entry level open source intelligence analyst?

To thrive as an Entry Level Open Source Intelligence Analyst, you need strong research abilities, analytical thinking, and a relevant degree in fields like criminal justice, international relations, or cybersecurity. Familiarity with open-source intelligence (OSINT) tools, data visualization platforms, and basic knowledge of information security protocols are typical technical requirements. Attention to detail, critical thinking, and effective written communication make candidates stand out in this position. These skills and qualities are crucial for accurately gathering, interpreting, and presenting information to support informed decision-making in security or investigative contexts.

What are some common challenges faced by entry level open source intelligence analysts, and how can they be addressed?

Entry-level Open Source Intelligence (OSINT) Analysts often face challenges such as information overload, verifying the credibility of sources, and adapting to rapidly changing data landscapes. To address these, developing strong research methodologies, learning to use advanced OSINT tools, and collaborating with more experienced team members are essential. Regular training and staying updated on best practices also help analysts efficiently filter relevant information and produce accurate, actionable intelligence.

What is the difference between Entry Level Open Source Intelligence Analyst vs Cybersecurity Analyst?

AspectEntry Level Open Source Intelligence AnalystCybersecurity Analyst
Required CredentialsBachelor's degree in intelligence, security, or related field; certifications like OSINT certificationsBachelor's in cybersecurity, computer science; certifications like CompTIA Security+ or CEH
Work EnvironmentGovernment agencies, intelligence firms, private securityIT departments, security firms, corporate environments
Industry UsageIntelligence gathering, national security, law enforcementProtecting networks, incident response, threat analysis

While both roles involve security and information analysis, Entry Level Open Source Intelligence Analysts focus on collecting and analyzing publicly available information for intelligence purposes, often within government or security agencies. Cybersecurity Analysts primarily protect digital assets by monitoring and defending networks. The roles share some certifications and work environments but differ in their core focus and industry applications.

What are the most commonly searched types of Open Source Intelligence Analyst jobs in Philadelphia, PA?

The most popular types of Open Source Intelligence Analyst jobs in Philadelphia, PA are:

What are popular job titles related to Entry Level Open Source Intelligence Analyst jobs in Philadelphia, PA?

For Entry Level Open Source Intelligence Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Open Source Intelligence Analyst jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Open Source Intelligence Analyst jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Open Source Intelligence Analyst jobs?

Cities near Philadelphia, PA with the most Entry Level Open Source Intelligence Analyst job openings:

Entry Level Open Source Intelligence Analyst jobs near you
Infographic showing various Entry Level Open Source Intelligence Analyst job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $99,514 per year, or $47.8 per hour.

Data Engineer I

United States Cold Storage

Camden, NJ • On-site

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

United States Cold Storage rating

7.8

Company rating: 7.8 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

89th of 366 rated logistics

Job description

Data Engineer I
Who We Are
US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of food at national scale across a network of state-of-the-art distribution centers, including multiple highly automated warehouse facilities
As US Cold continues to modernize its technology landscape, data has become a critical asset driving operational excellence, business intelligence, automation, and AI-enabled decision making across the organization. Our Data Engineering team builds and supports trusted, scalable, and secure data platforms that power analytics, reporting, forecasting, and machine learning solutions across the enterprise
If you are passionate about building modern data solutions, learning emerging technologies, and helping transform data into business value, this is that opportunity
The Role
The Data Engineer I helps design, build, and support the data platforms and pipelines that power analytics, reporting, operational insights, and AI-driven solutions at US Cold Storage. You will work closely with Data Engineers, Data Scientists, Analytics Engineers, and business stakeholders to ensure reliable, high-quality data is available for decision-making across the organization
This role is ideal for an early-career data professional with strong SQL and Python fundamentals who is eager to learn modern cloud data platforms, data engineering practices, and production-scale data operations.
What You Will Own
  • Design, build, test, and maintain batch and streaming data pipelines
  • Develop and support data ingestion processes from databases, APIs, files, logs, and other enterprise systems
  • Write clean, maintainable SQL and Python code to support data transformation and pipeline orchestration
  • Monitor and improve data quality, reliability, freshness, and observability across assigned datasets
  • Support analytics, reporting, and data science initiatives through the delivery of trusted data assets
  • Apply best practices in data modeling, testing, source control, documentation, and deployment
  • Participate in agile ceremonies, code reviews, and technical design discussions
  • Troubleshoot pipeline failures and support root-cause analysis efforts
  • Contribute to automation and continuous improvement initiatives across the data platform
  • Collaborate with business and technical teams to understand data requirements and deliver scalable solutions
  • Support production data environments and participate in operational support activities when required
  • Stay current on modern data engineering, cloud technologies, analytics platforms, and AI-enabled data workflows

Technical Environment
  • SQL and Python
  • Batch and Streaming Data Pipelines
  • ETL and ELT Frameworks
  • Snowflake, Azure Synapse, BigQuery, Redshift, or Similar Cloud Data Warehouses
  • Azure, AWS, or GCP Cloud Platforms
  • Data Modeling and Data Quality Frameworks
  • Git and Source Control Platforms
  • Power BI and Tableau
  • AI, Machine Learning, and LLM-Enabled Data

What We're Looking For
  • 1-2 years of professional experience in Data Engineering or a related technical field
  • Strong SQL skills including joins, aggregations, window functions, and query optimization
  • Experience developing solutions using Python or similar programming languages
  • Understanding of data pipelines, ETL/ELT processes, data modeling, and modern data architectures
  • Familiarity with cloud platforms such as Azure, AWS, or GCP
  • Strong analytical, troubleshooting, and problem-solving skills
  • Ability to communicate effectively with both technical and business stakeholders
  • Demonstrated curiosity, adaptability, and desire to learn emerging technologies
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Information Systems, Engineering, or a related discipline, or equivalent experience

Preferred Qualifications
  • Experience with Snowflake, Azure Synapse, BigQuery, Redshift, or similar cloud data platforms
  • Exposure to AI, prompt engineering, LLM pipelines, or advanced analytics solutions
  • Understanding of data governance, privacy, security, and access management principles
  • Experience with business intelligence and visualization tools such as Power BI or Tableau
  • Participation in open-source projects, hackathons, academic research, or technical portfolio work
  • Exposure to enterprise-scale data environments and cloud-native architectures

Why This Role Is Different
  • You will help build and support the data foundation that powers analytics and operational decision-making across US Cold Storage
  • You will gain hands-on experience with modern cloud data technologies and AI-enabled solutions
  • You will collaborate with data engineers, scientists, analysts, and business leaders across multiple functions
  • You will contribute to high-impact initiatives that improve efficiency, visibility, and innovation throughout the organization
  • You will have opportunities to grow your technical skills and advance within a rapidly modernizing technology team

Compensation & Structure
  • Salary Range: $90,000 - $100,000/year
  • Location: Camden, NJ (Hybrid)
  • Travel: Less than 10%
  • Reports To: Lead Data Engineer
  • Employment Type: Full-Time, Exempt

Operational Context
This role is primarily technical and office-based, focused on supporting enterprise data platforms and analytics capabilities. Occasional participation in operational meetings, project workshops, and business stakeholder engagements may be required.
Benefits Include
If annual hours are attained, these benefits may apply. Medical, Dental, Vision, Prescription, Legal Insurance, Pet Discount, Critical Illness, Accident Insurance, Hospital Indemnity, Long Term Care + Permanent Life Insurance, Identity Theft Protection, Short Term Disability Insurance, Long Term Disability Insurance, Supplemental Disability Insurance, Basic Life Insurance, Accidental Death and Dismemberment Insurance, Supplemental Life Insurance, Supplemental Spouse Life Insurance, Child Life Insurance, Loan Solution, Health Flexible Spending Account, Dependent Flexible Spending Account, Telemedicine, Virtual Primary Care, Prescription Savings Plan, Prescription Specialty Copay Assistance Program, Weight Management Program, Chronic Condition Management, Care Navigator Program, 24/7 Nurse Line, Expert Medical Opinion, Health Advocacy, Employee Assistance Program, Digital Cognitive Behavioral Therapy, Digital Physical Therapy, Behavioral and Mental Health Platforms, Auto and Home Discount Program, Secure Travel Protection, Discount Programs, 401(k) Plan, Education Assistance, Paid Time Off, Referral Program, and Commuter Benefit (NJ only).
Physical & Operational Context
May require physical effort associated with using the computer to access information, or occasional standing, walking, or lifting needed to carry out everyday activities. Effective communication, vision, and hearing are essential for safety and productivity. Operate computers, tablets, scanners, radios, phones, and other essential equipment as required.
Additional work hours may be requested by management to support projects, production issues, or special business initiatives. Work independently and collaborate effectively in a fast-paced environment while managing priorities and meeting productivity expectations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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