Data Analyst

Akamai

4h•Remote

About The Position

Are you excited by the prospect of working with cutting-edge web security technologies? Would you like to create solutions and make an impact on the future of the Internet? Join our highly skilled Security team Our team maintains and evolves PacketFence and Fingerbank - industry-leading open source network access control (NAC) and device fingerprinting solutions. Acquired from Inverse, our team brings deep expertise and excellent open source philosophy to solving enterprise security challenges. Take part in creating the best micro segmentation, network access control and devices identification products in the market! Partner with the best In this role, you will help drive our PacketFence and Fingerbank products forward while working on strategic integration initiatives with other Akamai solutions, particularly Guardicore Segmentation. As a Data Analyst, you will be responsible for: Working with a team of data scientists to collect and analyze data Using graphs, infographics and other methods to visualize data Structuring large data sets to find usable information Creating presentations and reports based on recommendations and findings for internal teams and/or external clients Building data pipelines and maintaining documentation Building and analyzing device profiles

Requirements

Have 2-3 years of experience and a Bachelor's degree in Computer Science, related field, or equivalent
Show proficiency with Python (pandas, re, sklearn, hyperscan, mathplotlib)
Have analytical and problem-solving skills
Possess Experience in data analysis, ML, generative AI, LLMs
Show knowledge of tools and processes of extracting, transforming and loading data
Demonstrate experience with Linux systems (Debian)

Responsibilities

Working with a team of data scientists to collect and analyze data
Using graphs, infographics and other methods to visualize data
Structuring large data sets to find usable information
Creating presentations and reports based on recommendations and findings for internal teams and/or external clients
Building data pipelines and maintaining documentation
Building and analyzing device profiles