Data Analyst Team Lead at Cyera

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Team Management, Communication Skills, Production Data Management, Customer Solutions, Innovation, Problem-Solving, Process Improvement, Collaboration, Agile Methodologies, Data Pipelines, Analytical Approaches, Stakeholder Engagement, Metrics Analysis

Industry

Computer and Network Security

Description

Description About Cyera Cyera is on a mission to protect one of the world's most valuable resources: data. Our AI-native platform gives organizations a complete view of where their data lives, how it’s used, and how to keep it safe, so they can reduce risk and unlock the full value of their data, wherever it is. Since our founding in 2021, we’ve grown fast- Cyera-fast - securing over $1.3 billion in funding from the biggest pockets on the planet and establishing a global team. Today, Cyera is the fastest growing data security company on the planet, trusted by the Fortune 500 and beyond. Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. About the Team The Product & Data Analytics team focuses on empowering data-driven decisions across Cyera’s product lifecycle. Our insights shape product strategy, guide technical investment, and enhance customer experiences. The team partners closely with engineering, product, and business stakeholders to surface impactful metrics and tell compelling stories through data. We’re a curious, agile, and highly collaborative team that thrives on turning complex data into actionable intelligence. If you’re passionate about leveraging data to unlock business value and influence innovation, you’ll feel right at home here. What you’ll do Lead and mentor a team of 3–5 data analysts, providing guidance, feedback, and professional development opportunities Take ownership of customer-facing data analysis processes, ensuring high-quality, reliable, and timely insights for both existing and prospective clients Collaborate closely with the research team to support ongoing studies and develop innovative analytical approaches that enhance research outcomes Work closely with customers to understand their requirements, manage incoming requests, and deliver tailored data-driven solutions Ensure accuracy, integrity, and performance of production data pipelines and analysis workflows in time-sensitive environments Innovate new methods and tools to improve the team’s efficiency and the overall impact of data analysis across the company Requirements 3+ years of hands-on experience in data analysis, with strong proficiency in SQL and Python Proven experience managing or leading a team, with excellent people management and communication skills Strong background in working with production data in time-critical environments, balancing accuracy and speed of delivery Demonstrated ability to translate customer and research needs into actionable data solutions Passion for innovation, problem-solving, and driving process improvements in analytics workflows Comfortable in fast-paced, collaborative environments with multiple stakeholders Location Requirements None

Responsibilities

Lead and mentor a team of data analysts while ensuring high-quality insights for clients. Collaborate with various teams to enhance research outcomes and innovate analytical methods.