Create exceptional products with passionate people
Technical Support • Business Process Outsourcing • Techninal Support Services • Quality Testing • Dedicated Team Outsourcing
201 - 500
March 18
Create exceptional products with passionate people
Technical Support • Business Process Outsourcing • Techninal Support Services • Quality Testing • Dedicated Team Outsourcing
201 - 500
• Cyrebro is an online cybersecurity central command-managed SOC • The platform makes it easy to see and maintain an accurate and meaningful picture of cyber intelligence solutions posture in one centralized platform • Cyrebro simplifies cybersecurity with full, rapid clarity for even the most complex situations to make the right business decisions, quickly • Radically reduces investigation time into malicious attacks from days to hours, and minutes to instant • Cyrebro’s Research team is responsible for analyzing and characterizing new emerging threats and trends in the cyber security field
• Minimum of 3 years as a data analyst • Bachelor’s degree in a relevant field (e.g., mathematics, statistics, computer science) • Proven track record (practical working experience) in Python projects implementing ETL tasks, and ingesting data via RESTful APIs from various cloud services • Experience with Google Looker and Microsoft Power BI is a must • A hands-on person experienced with product analytics tools such as: Google Tag manager, Mixpanel, Chameleon, or similar tools • Preferred experience with Google BigQuery for handling large-scale data • Enthusiasm for working with data and uncovering insights • Effective communication skills, both spoken and written in English, are essential for presenting findings and recommendations to management and cross-functional teams
• Creating interactive dashboards using Google Looker and Microsoft Power BI • Utilizing coding capabilities in Python for data manipulation and automation • Define and track Key Performance Indicators (KPIs) that drive business success • Collaborate with stakeholders from Product, Marketing, Sales, and R&D teams • Conduct a thorough analysis of large datasets to extract actionable insights from Google BigQuery
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