Sr. Data Analyst

at  Cognizant

ABOUT COGNIZANT’S AI PRACTICE

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

JOB SUMMARY

We are seeking a Senior Data Analyst with 8 to 12 years of experience to join our diverse team. The ideal candidate will have strong expertise in SQL, Data Builder, and Data & Analytics technologies. This role involves leading data analysis projects providing actionable insights and driving data-driven decision-making processes. The candidate will play a crucial role in improving our data capabilities and contributing to the companies strategic goals.

QUALIFICATIONS

• Possess strong expertise in SQL and Data Builder.
• Have a proven understanding of Data & Analytics technologies.
• Demonstrate excellent analytical and problem-solving skills.
• Exhibit strong communication and presentation abilities.
• Show proficiency in designing and maintaining data models.
• Have experience in creating dashboards and reports.
• Display the ability to mentor and guide junior team members.
• Stay updated with industry trends and best practices.
• Collaborate optimally with cross-functional teams.
• Ensure data accuracy and integrity.
• Implement robust data validation processes.
• Contribute to data governance policies.
• Drive data-driven decision-making processes.

• Lead data analysis projects to provide actionable insights that drive business decisions.
• Oversee the development and maintenance of data models using SQL and Data Builder.
• Provide expertise in data analytics to support various departments within the organization.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data accuracy and integrity by implementing robust data validation processes.
• Develop and maintain dashboards and reports to visualize key performance indicators.
• Conduct in-depth data analysis to identify trends patterns and opportunities for improvement.
• Mentor and guide junior data analysts to improve their skills and knowledge.
• Implement best practices in data management and analytics to optimize performance.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Stay updated with the latest trends and technologies in data analytics to ensure continuous improvement.
• Work closely with IT and data engineering teams to ensure flawless data integration and accessibility.
• Contribute to the development of data governance policies and procedures.