As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are growing and looking for a talented Data Analyst to join our product data team.
The Data Analyst will use analytical and technical skills together with strong business and product understanding to ensure the product fully and accurately utilizes the customers data, producing the best solution possible.
Responsibilities:
Work closely with other business and development units and lead the onboarding process of new customers, to deliver high-quality data-centered solutions.
Perform data modeling, wrangling, analysis, and mapping as part of the integration architecture.
Support and expand existing customer data integration solutions to accommodate product evolution in accordance with customer needs.
Guide customers to success by explaining data related subjects and resolving complex logical and business issues through professional discussions.

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.

We are looking for a Cyber Data Analyst.
Join a truly agile team, work collaboratively with cpp developers, data scientists, product managers and more to truly shape the product we deliver
RESPONSIBILITIES:
As part of our product, we show our clients a full discovery of their APIs and any anomalous activities and attacks on them. Our team is responsible for solving the products most problematic core cyber algorithms based on comprehensive data research.
* Perform extensive research on customer traffic for architectural decision-making.
* Design and develop complex algorithms to solve some never-before-addressed challenges.
* Create and take end-to-end ownership of core and difficult cyber problems.