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Entry Level Intelligence Analyst Jobs in Commack, NY

MedReview

ETL Engineer

New York, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... analytics and business intelligence. * Design and develop ETL pipelines using SSIS, Azure Data ...

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Entry Level Intelligence Analyst information

See Commack, NY salary details

$42.5K

$103.6K

$160K

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

As of Aug 20, 2026, the average yearly pay for entry level intelligence analyst in Commack, NY is $103,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $124,800.00 per year, depending on experience, location, and employer.

What is an entry level intelligence analyst?

Entry level intelligence analysts are professionals who collect, evaluate, and interpret information to support decision-making in areas such as national security, law enforcement, or business. They use various sources, including open-source data, databases, and reports, to identify patterns, threats, or opportunities relevant to their organization. Typically, these roles require strong analytical skills, attention to detail, and the ability to communicate findings clearly. Entry level analysts often work under the supervision of more experienced staff, gaining experience as they contribute to larger intelligence projects.

What does an entry level intelligence analyst do?

An entry-level intelligence analyst works for a government agency, contractor, or law enforcement agency. In this career, your duties include working to gather and perform analysis on information. You assess data to identify threats and recommend a course of action to your superiors. In an entry-level position, your responsibilities may focus on trying to assist senior intelligence analysts by organizing raw data and selecting relevant information. Consulting firms and corporations may hire business intelligence analysts to conduct analysis and research of markets, competitors, and industry innovators.

What are the key skills and qualifications needed to thrive as an entry level intelligence analyst, and why are they important?

To thrive as an Entry Level Intelligence Analyst, you need strong analytical thinking, attention to detail, and a bachelor's degree in fields like criminal justice, international relations, or political science. Familiarity with data analysis tools, intelligence databases, and platforms such as Microsoft Excel or specialized geospatial systems is often required. Effective communication, critical thinking, and discretion are crucial soft skills for collaborating with teams and handling sensitive information. These skills and qualities are vital for accurately interpreting data, supporting decision-making, and maintaining security standards in intelligence work.

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

Entry level intelligence analysts often face the challenge of processing large volumes of complex information while meeting tight deadlines. Adapting to specialized analytical tools and learning to distinguish between relevant and irrelevant data can also be demanding. Building strong relationships with colleagues and seeking mentorship can help new analysts develop critical thinking skills and gain confidence. Regularly reviewing best practices and participating in training opportunities can further ease the transition into this fast-paced role.
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What cities near Commack, NY are hiring for Entry Level Intelligence Analyst jobs?

Cities near Commack, NY with the most Entry Level Intelligence Analyst job openings:

Entry Level Intelligence Analyst jobs near you
Infographic showing various Entry Level Intelligence Analyst job openings in Commack, NY as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $103,615 per year, or $49.8 per hour.

ETL Engineer

MedReview

New York, NY • On-site

$120/hr

Full-time

Re-posted 2 days ago

Job description

Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming)
  • Develop transformations for structured and semi-structured data
  • Optimize SQL Server and ClickHouse queries for performance and scalability
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc)
Must-Haves (Non-Negotiables):
We are targeting candidates who already have strong, hands-on experience in the following:
  • ETL tools: Azure Data Factory, SSIS, Databricks
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
  • Experience working with ClickHouse (schema design, ingestion, optimization)
    Experience with cloud environments (Azure perferred)
  • Programing in Python or Scala for data processing
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit.
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs)
  • Exposure to big data frameworks
  • Understanding of DevOps/Data pipeline deployment practices
  • Experience supporting BI tools (Power BI, Tableau)
What Success Looks Like:
  • You can independently build and optimize ETL pipelines
  • You understand how to make data systems faster, cleaner, and scalable
  • You're comfortable working across engineering, analytics, and business teams
  • You proactively identify performance issues and fix them

Apply