Senior Data Analyst (225-917)

As a Senior Data Analyst, you will play a pivotal role in our data-driven decision-making processes. You will be responsible for analyzing complex data sets to uncover insights that drive critical business strategies. With your strong analytical skills and deep understanding of data mining and modeling techniques, you will work closely with various departments to identify trends, assess performance, and support strategic initiatives. Your ability to translate data into actionable insights will be instrumental in improving our operations and achieving our business objectives. This role requires a proactive individual who is comfortable leading projects, mentoring junior analysts, and communicating effectively with both technical and non-technical stakeholders.

Responsibilities

• Develop and maintain dashboards to track key performance indicators and business metrics.
• Conduct in-depth analysis of complex data sets to identify trends and patterns.
• Collaborate with cross-functional teams to support data-driven decision making.
• Design and implement data collection systems and other strategies to optimize efficiency.
• Prepare comprehensive reports by utilizing advanced data visualization techniques.
• Assist in the creation of data standards and governance processes across the organization.
• Provide mentorship and guidance to junior analysts to foster growth and development.
• Conduct quality assurance tests to ensure data accuracy and reliability.
• Use advanced statistical methods to interpret complex data sets and extrapolate insights.
• Develop predictive models to forecast future business performance and outcomes.
• Communicate analytical findings and insights to non-technical stakeholders effectively.
• Evaluate and improve existing data analytics processes for better efficiency and performance.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, or related field.
• Minimum of 5 years experience in data analysis or a similar role.
• Strong proficiency in SQL and database management systems is required.
• Experience with data visualization tools such as Tableau, Power BI, or equivalent.
• Excellent analytical and problem-solving skills with strong attention to detail.
• Ability to communicate complex data findings to various levels of stakeholders.
• Knowledge of programming languages such as Python or R is highly desirable.