Data & Analytics (225-1002)

As a Data & Analytics professional, you will play a critical role in driving the strategic direction and operational efficiency of our organization. You will use your skills to transform complex data into actionable insights, enabling informed decision-making across the business. With expertise in data collection, analysis, and visualization, you will support various departments to help them meet their objectives. Your role will also involve working collaboratively with cross-functional teams to implement analytic solutions that drive business growth. You will have the opportunity to utilize cutting-edge technological tools and methods, ensuring the integrity and clarity of data across multiple platforms. Your contributions will be vital in enhancing the performance and competitive edge of our business by leveraging data to innovate and improve our services.

Responsibilities

• Collect, analyze, and interpret large datasets to support decision-making processes.
• Develop and maintain databases and data systems to enhance data accessibility.
• Create data visualizations and dashboards that communicate complex analyses effectively.
• Collaborate with cross-functional teams to identify data requirements and provide insights.
• Monitor principal performance indicators and metrics to evaluate business performance.
• Conduct data quality assessments and troubleshoot data discrepancies as needed.
• Implement and optimize statistical models and algorithms for predictive analytics.
• Prepare reports and presentations to summarize findings and propose solutions.
• Stay abreast of industry trends to provide cutting-edge analytical insights.
• Ensure compliance with data privacy regulations and organizational policies.
• Facilitate the integration of data sources into a cohesive analytics environment.
• Train and mentor team members on data analytics and visualization techniques.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience in data analysis, data mining, or business analytics roles.
• Proficiency in SQL, Python, R, or other relevant programming languages.
• Strong knowledge of data visualization tools like Tableau or Power BI.
• Excellent analytical, problem-solving, and decision-making capabilities.
• Ability to interpret complex datasets and communicate insights effectively.
• Familiarity with machine learning techniques and tools is highly desirable.