Data Analyst

About Ping Identity:

At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Diversity, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

As a Data Analyst You Will:

• Work with the Data Scientist, Product Manager, and Engineering team to develop and validate advanced analytic techniques for security products.
• Work with customer data to provide insights on the detection of PingOne Protect products and identify anomalies or suspicious patterns.
• Respond to customers inquiries regarding risks and fraud in their system and provide strategies to mitigate them.
• Manage efforts to enhance cyber insights and reporting from our products Lead proof of concepts end to end, from analyzing data to creating detection solutions and testing their accuracy.
• Research external data sources that Ping Identity can use.
• Clearly and concisely promote complex data analysis to various stakeholders, including non-technical, within and outside of Ping
  
  

• Minimum 2 years of industry experience as a Data Analyst in a cybersecurity or cyber research role- Must.
• Relevant experience in the fraud industry – Advantage.
• Strong analytical skills with the ability to process big datasets Hands-on experience with Python programming for data analysis and querying is essential.
• Extensive knowledge of SQL and proficiency in writing complex SQL queries to extract and manipulate data.
• Strong data storytelling and visualization skills are required.
• The ability to effectively communicate insights from data analysis to various stakeholders.
• Excellent written and verbal communication skills in English.
• Ability to work as an individual contributor and as part of a team Experience working with Product, and Develop Teams - Advantage.
• Knowledge of Cybersecurity technologies and methodologies - Advantage.
  
  

• Excellent interpersonal skills.
• Self-learning.
• Independence.
• Team player.
  
  

• Hybrid model
• Parental Leave
• Education reimbursement
• Cooperative health insurance
• Generous Holiday Gifts
• 10Bis account
  
  

• A company culture that empowers you to do your best work.
• Employee Resource Groups that create a sense of belonging for everyone.
• Regular company and team bonding events.
• Competitive benefits and perks.
• Global volunteering and community initiatives
  
  

• Generous PTO & Holiday Schedule
• Parental Leave
• Progressive Healthcare Options
• Retirement Programs
• Opportunity for Education Reimbursement
• Commuter Offset (Specific locations)