RSA - Consultant Data Quality Analytics

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 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

Key Responsibilities

• Data Collection, Cleaning & Preparation: Cleaning, filtering, and organizing raw data to ensure accuracy, consistency, and completeness for analysis.
• Data Analysis & Interpretation: Using statistical tools and analytical techniques to interpret complex datasets, focusing on trends, patterns, and correlations that could be valuable for business objectives.
• Reporting & Visualization: Creating visually appealing and interactive dashboards, reports, and presentations using data visualization tools to communicate key findings and actionable insights to management and cross-functional teams.
• Process Improvement: Collaborating with stakeholders to identify opportunities for process improvements, system modifications, and the development of policies for data governance and efficiency.
• KPI Tracking: Partnering with business units to define, implement, and monitor key performance indicators (KPIs) and metrics to evaluate the success of initiatives and business performance.
• Fact-Checking and Validation: Reviewing and fact-checking work from other data professionals (analysts, engineers, data scientists) to ensure technical accuracy and adherence to best practices, company policy, and relevant law.
• Troubleshooting Expertise: Serving as the "go-to" person for resolving complex, project-related problems that fall within their area of expertise, using their extensive knowledge to overcome unforeseen obstacles.

Technical Skills
*Required Skills & Qualifications*

• Database Languages: Strong proficiency in SQL for extracting and manipulating data.
• Programming Languages: Experience with programming languages such as Python for statistical analysis, automation of data processes and predictive modeling. Machine learning is a plus.
• Data Visualization Tools: Proficiency with data visualization and building Power BI datasets, measures (DAX) to create reports and dashboards.
• Spreadsheet Software: Advanced Microsoft Excel skills.
• Statistical Knowledge: A strong understanding of statistical methodologies and techniques for data interpretation and predictive modeling.

Soft Skills

• Analytical and Problem-Solving Skills: The ability to think critically, solve complex problems, and pay meticulous attention to detail and accuracy.
• Communication Skills: Excellent written and verbal communication skills to explain technical findings to non-technical stakeholders in a clear and compelling way.
• Collaboration and Teamwork: The ability to work both independently and collaboratively within cross-functional teams to achieve organizational goals.
• Attention to Detail: Meticulousness is essential for maintaining data integrity and accuracy in large datasets.

Education & Experience

• Education: A bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is typically required.
• Experience: Relevant work experience as a data analyst or in a related field for 5 years or more.

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
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. 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.