Junior Data Analyst

10/20/2025

Support analysis of large, complex data sets to identify trends and insights. Help produce reports on product performance, user behaviors, and new features.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

About The Company

SAM is the leading provider of cloud-native security and intelligence services for unmanaged networks and IoTs, covering upwards of 500 million connected devices globally. With its powerful and intuitive AI technology, SAM addresses the challenges of our hyperconnected world, in which an explosion of IoT devices exposes potential attack surfaces for companies and consumers alike. SAM's device-agnostic software provides deep network visibility to not only protect against sophisticated cyber-attacks in real-time, but also to prevent the spread of zero-day attacks. SAM's solutions have been designed to study the behavior of a single network of fragmented devices. By using its unique cloud-based device and threat intelligence, SAM identifies every connected device and creates customized protection for all home and SMB users, forming a bulletproof network. SAM's solution is proven to provide telcos with new revenue streams, reduced churn, and minimized support costs through value-added services that strengthen their market positioning and create more value for their customers.

About the Role

Full-time Position

About the Role:

At SAM Seamless Network, we protect millions of connected devices around the world by revolutionizing visibility and security beyond the gateway.

We’re looking for a Junior Data Analyst who’s eager to learn, explore big data, and turn raw information into real insights. You’ll work closely with our data and R&D teams, analyzing patterns, supporting reports, and contributing to smarter product and business decisions.

This is a great opportunity to grow your analytical and technical skills in a cutting-edge cybersecurity environment.

What You’ll Be Doing:

Support analysis of large, complex data sets to identify trends and insights.
Help produce reports on product performance, user behaviors, and new features.
Work closely with multiple teams to answer data-related questions and support decision-making.
Assist in automating data processes and improving reporting efficiency.
Learn and apply tools and methods for device identification and data enrichment.

Requirements

1–2 years of experience (or relevant internship) in data analysis.
Strong SQL skills – ability to query and analyze data efficiently.
Basic experience with Python (Pandas, Numpy).
Familiarity with AWS services (Athena, S3, Glue) – an advantage.
Knowledge of OpenSearch / Elasticsearch / GitHub – a plus.
Curiosity about machine learning, AI, and network data – a strong advantage.
Analytical mindset, detail-oriented, and eager to learn.
B.Sc in Statistics, , Statistics, Information Systems, Industrial Engineering & Management

Key Skills

SQLPythonPandasNumpyAWSAthenaS3GlueOpenSearchElasticsearchGitHubMachine LearningAIData AnalysisAnalytical MindsetDetail-oriented