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Entry Level Google Analytics Jobs in Maryland (NOW HIRING)

Legends Fellows

Lanham, MD · On-site

$48K - $66K/yr

Description About Legends Fellows - Academic Tutor and Mentor (entry-level, paid, full-time) Gap ... Collaborate with teachers and team members to collect, record, analyze and monitor individual ...

Legends Fellows

Lanham, MD

$48K - $66K/yr

About Legends Fellows - Academic Tutor and Mentor (entry-level, paid, full-time) Gap Year ... Collaborate with teachers and team members to collect, record, analyze and monitor individual ...

Entry Level Google Analytics information

See Maryland salary details

$9

$50

$76

How much do entry level google analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level google analytics in Maryland is $50.72, according to ZipRecruiter salary data. Most workers in this role earn between $36.88 and $63.22 per hour, depending on experience, location, and employer.

What is an entry level Google Analytics?

An Entry Level Google Analytics job involves analyzing website traffic and user behavior using Google Analytics. Professionals in this role help interpret data, create reports, and provide insights to improve website performance. They may also assist in setting up tracking, configuring goals, and identifying trends to optimize business strategies. Strong analytical skills and familiarity with Google Analytics tools are essential.

What are the typical daily responsibilities of an entry level Google Analytics professional?

In an Entry Level Google Analytics role, your daily tasks often include monitoring website traffic, setting up tracking codes, and compiling basic reports using Google Analytics tools. You'll assist in analyzing visitor behaviors, identifying performance trends, and supporting senior analysts with data gathering for campaigns or website optimizations. Collaboration with marketing and web development teams is common, ensuring accurate data collection and the effective measurement of business goals. This hands-on experience helps you build a strong foundation for more advanced analytics work in the future.

What are the key skills and qualifications needed to thrive in the entry level Google Analytics position, and why are they important?

To thrive as an Entry Level Google Analytics professional, candidates need a basic understanding of digital marketing concepts, data interpretation, and analytical thinking, often supported by a relevant degree or coursework. Familiarity with Google Analytics, Google Tag Manager, and achieving Google Analytics certification are valuable technical assets. Attention to detail, effective communication, and a willingness to learn help individuals excel in team settings and adapt to evolving data needs. These skills ensure accurate data analysis, clear reporting, and the ability to derive actionable insights that drive business improvement.

What are the most commonly searched types of Google Analytics jobs in Maryland?

The most popular types of Google Analytics jobs in Maryland are:

What are popular job titles related to Entry Level Google Analytics jobs in Maryland?

For Entry Level Google Analytics jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Entry Level Google Analytics jobs in Maryland look for?

The top searched job categories for Entry Level Google Analytics jobs in Maryland are:

Infographic showing various Entry Level Google Analytics job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $105,491 per year, or $50.7 per hour.

Associate Cloud AI Engineer - TS/SCI clearance - Travel

PGTEK

Baltimore, MD • On-site

$80 - $100/hr

Other

Re-posted 6 days ago


Job description

Associate Cloud AI Engineer (Entry Level)

Location: Various U.S. Federal Client Sites (Onsite)
Travel: Travel required to customer sites throughout the Continental U.S.
Salary: $80,000 – $100,000
Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required

About PGTEK

PGTEK is a leading provider of enterprise IT modernization, cloud transformation, and AI solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we're seeking motivated engineers who want to build their careers deploying next-generation cloud and AI technologies in secure government environments.

This is an excellent opportunity for early-career cloud professionals, recent graduates, military veterans, and PGTEK Academy candidates looking to gain hands‑on experience with Google Cloud Platform (GCP), enterprise AI, and federal cloud modernization projects.

Position Summary

As an Associate Cloud AI Engineer, you'll work alongside Senior and Lead Cloud AI Engineers to help deploy, secure, and support Google Cloud environments for federal customers. You'll participate in cloud migrations, infrastructure deployments, automation initiatives, and AI platform implementations while developing expertise in Google Cloud technologies and federal security best practices.

This role offers significant mentorship and professional growth opportunities as you build toward becoming a Cloud AI Engineer and ultimately a Cloud Architect.

Responsibilities
  • Assist with deploying and configuring Google Cloud Platform (GCP) environments
  • Configure resource hierarchies, IAM roles, Cloud Identity, and organizational policies
  • Support Google Cloud Assured Workloads implementations
  • Deploy and manage Compute Engine virtual machines, Google Kubernetes Engine (GKE), Cloud Run, and enterprise AI services
  • Configure cloud networking including VPCs, subnets, firewall rules, and network security policies
  • Assist with Google Cloud storage, databases, and data services including:
    • Cloud Storage
    • Cloud SQL
    • BigQuery
    • Spanner
    • Pub/Sub
    • Dataflow
  • Support Infrastructure as Code (IaC) deployments using Terraform, Config Connector, and Helm
  • Utilize Google AI‑assisted tools including Gemini CLI and Gemini Cloud Assist
  • Monitor cloud environments using Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler
  • Assist with identity, access management, encryption, and least‑privilege security implementations
  • Support compliance documentation and evidence collection for FedRAMP and DoD environments
  • Collaborate with senior engineers throughout cloud migration and modernization projects
  • Continuously expand Google Cloud knowledge through certifications, mentoring, and hands‑on experience
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or another STEM‑related field (or equivalent practical experience)
  • 0–2 years of experience supporting cloud infrastructure or enterprise IT environments
  • Basic understanding of cloud computing concepts
  • Familiarity with Linux and networking fundamentals
  • Experience using command‑line tools and scripting is a plus
  • Strong troubleshooting and analytical skills
  • Excellent communication and willingness to learn
  • Ability to work collaboratively in a fast‑paced team environment
Preferred Qualifications

Experience or exposure to any of the following is a plus:

  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker or container technologies
  • Terraform or Infrastructure as Code
  • Git and CI/CD pipelines
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