RSA Consultant Data Quality Analytics

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.

Required Skills & Qualifications

Technical Skills

• 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:AdvancedMicrosoft Excelskills.
• 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 bachelors 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 . 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.

Required Experience:

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