RSA Data Analytics Manager

RSA Data Analytics Manager

RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.

For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation and hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team!  For more information, go to rsa.com.

The Data Analytics Manager is a key leadership role responsible for driving data-driven decision making across the organization. You will lead and develop a team of data analysts, translating business needs into actionable data strategies and transforming raw data into clear, insightful reports and recommendations.

Principal Responsibilities:

• Lead and manage a team of data analysts, fostering a collaborative and high-performing work environment.

• Partner with business stakeholders across departments to understand their needs and challenges, identifying opportunities for data-driven solutions.

• Develop and implement a comprehensive data analytics strategy aligned with the organization's overall goals.

• Design and oversee the execution of data analysis projects, ensuring accuracy, efficiency, and timely delivery.

• Develop and maintain data quality standards and processes.

• Analyze large and complex datasets to uncover trends, patterns, and insights.

• Translate data findings into clear, concise, and actionable reports and presentations for both technical and non-technical audiences.

• Communicate effectively with stakeholders at all levels, advocating for the value of data-driven decision making.

Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.

• Minimum 5+ years of experience, from which preferred 2+ years of experience in data analytics, with a proven track record of success in leading and managing data analysis projects.

• Strong analytical skills with experience in statistical modeling, data mining, and machine learning (a plus).

• Experience working with various data analysis tools and technologies (e.g., SQL, Python, R, Power Bi, Quicksight or Tableau).

• Excellent communication, presentation, and interpersonal skills.

• Proven ability to manage and lead a team effectively.

• Strong business acumen and the ability to translate data insights into actionable business recommendations.

RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.

If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at rsa.global.talent.acquisition@rsa.com. RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.