Senior Data Analyst (225-804)

The Senior Data Analyst is pivotal in driving data-informed decision-making within the organization. This role entails transforming raw data into insightful analyses that influence key business strategies. The incumbent will be responsible for managing large datasets, developing robust data models, and delivering actionable insights that address critical business questions. They will collaborate with cross-functional teams to ensure the alignment of data initiatives with business goals. This role demands a high degree of technical prowess, analytical precision, and business acumen. The Senior Data Analyst will play a vital role in enhancing the organization's data infrastructure and promoting an evidence-based approach to strategic planning and performance improvement.

Responsibilities

• Develop and implement advanced data analytics strategies to support business objectives.
• Gather, preprocess, and analyze large volumes of complex datasets from various sources.
• Create and maintain data models, dashboards, and reports using visualization tools.
• Ensure data quality by conducting rigorous data integrity and accuracy checks.
• Collaborate with IT and other departments to streamline data workflows and processes.
• Utilize statistical software and methodologies for predictive and prescriptive analytics.
• Identify trends, insights, and patterns to drive strategic business decisions.
• Design A/B tests to validate hypotheses and optimize business strategies.
• Provide mentorship and guidance to junior data analysts and other team members.
• Present complex analyses and insights to senior leadership in a clear, concise manner.
• Champion data-driven culture and promote best practices in data analytics.
• Continuously explore new data science methodologies and technologies for potential application.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field.
• At least five years of experience in data analysis or data science roles.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Strong SQL skills and experience with large-scale relational databases.
• Experience with statistical analysis tools such as R, Python, or SAS.
• Excellent problem-solving abilities and attention to detail are essential.
• Strong communication skills to convey complex findings to non-technical stakeholders.
• Proven track record of managing multiple tasks and projects in a fast-paced environment.
• Ability to work both independently and collaboratively with diverse teams.