Data Analyst

Bitdefender is a cybersecurity leader delivering best-in-class threat prevention, detection, and response solutions worldwide. Guardian over millions of consumer, enterprise, and government environments, Bitdefender is one of the industry’s most trusted experts for eliminating threats, protecting privacy, digital identity and data, and enabling cyber resilience. With deep investments in research and development, Bitdefender Labs discovers hundreds of new threats each minute and validates billions of threat queries daily. The company has pioneered breakthrough innovations in antimalware, IoT security, behavioral analytics, and artificial intelligence and its technology is licensed by more than 180 of the world’s most recognized technology brands. Founded in 2001, Bitdefender has customers in 170+ countries with offices around the world. For more information, visit https://www.bitdefender.com

Job Description:

We are looking for a data wizard to join our Data Analytics team as part of our Data & Advanced Analytics department.

As a data analyst you will interact with data warehouse developers, data engineers and other key stakeholders to maintain the data ecosystem up to date and we are counting on your curiosity and technical knowledge to extract actionable insights from terabytes of data.

Responsibilities:

• Key role in creating and maintaining dashboards using Power BI that display key performance indicators which are used across the company;
• Work closely with analysts from other departments on defining and implementing solutions for new reporting needs, offer support regarding data inquiries;
• Leverage analytical applications to translate data into stories and explain the meaningful conclusions of the analysis in written verbal and visual form;
• Answer to ad-hoc data requests.

Requirements:

• 3+ years of relevant analytical experience in a Data Analyst/Reporting Analyst/Business Intelligence Developer position;
• Previous experience using SQL to manipulate large volumes of data;
• Previous experience working with data visualization tools (e.g. Power BI, Tableau or Qlik);
• Ability to be flexible and work analytically in a problem-solving environment;
• Ability to present data analysis results using storytelling capabilities;
• Ability to work independently while prioritizing multiple projects and tasks.