Data & Analytics (225-818)

As a Data & Analytics professional, you will play a pivotal role in enabling data-driven decision-making processes within our organization. This position requires a strategic thinker with the ability to analyze large sets of data to discover trends, insights, and patterns that can significantly impact our business operations. The successful candidate will be an innovative and analytical thinker, with excellent problem-solving skills and a keen eye for detail. You will collaborate with cross-functional teams to transform raw data into valuable information that drives efficiency and enhances performance across the business. This is an exciting opportunity for someone who is passionate about leveraging data to affect meaningful change and drive company growth.

Responsibilities

• Collect, process, and analyze large data sets from multiple sources.
• Develop and implement data collection systems and strategies.
• Work collaboratively with business stakeholders to identify opportunities for leveraging company data.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to optimize internal processes and enhance user experiences.
• Create dashboards and reports that provide insights and track team performance.
• Monitor data accuracy and completeness to ensure reliable insights.
• Support the development of data governance frameworks and policies.
• Conduct research and development of advanced analytics methodologies.
• Communicate complex technical concepts to non-technical stakeholders effectively.
• Implement best practices for data management and security protocols.
• Continually improve processes to enhance organizational efficiency and data quality.

Requirements

• Bachelor's degree in Data Science, Statistics, or a related field.
• Proven experience in a data analytics or data science role, with demonstrable results.
• Proficient in SQL, Python, R, or other data analysis tools.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical skills and experience in statistical modeling and data mining.
• Excellent communication skills for clear reporting of analytic results to diverse audiences.
• Demonstrated ability to handle multiple tasks and projects simultaneously.
• Strong problem-solving abilities and attention to detail.
• Knowledge of data privacy regulations and best practices.
• Ability to work collaboratively in a fast-paced and agile environment.