Data & AI Analyst (225-824)

As a Data & AI Analyst, you will play a pivotal role in harnessing the power of data and artificial intelligence to drive strategic decision-making and innovation within our organization. You will be responsible for analyzing complex datasets, developing predictive models, and providing actionable insights that enable us to maximize operational efficiency, enhance customer experiences, and identify new growth opportunities. Your expertise in data science, machine learning algorithms, and AI technologies will be instrumental in transforming raw data into valuable business intelligence. You will work collaboratively with cross-functional teams, including IT, marketing, and product development, to implement AI solutions that align with business goals. This position requires a forward-thinking mindset, a deep understanding of data analytics, and a passion for leveraging technology to solve complex business problems.

Responsibilities

• Analyze large datasets to uncover patterns and generate meaningful business insights.
• Develop, test, and validate machine learning models to address business objectives.
• Collaborate with stakeholders to identify data-driven opportunities for growth.
• Design and maintain dashboards that provide real-time data visualization tools.
• Communicate findings and analytical insights to non-technical stakeholders effectively.
• Implement AI solutions to optimize business processes and customer engagement.
• Ensure data integrity and accuracy through meticulous data cleaning and verification.
• Research and integrate new AI technologies to stay ahead of industry trends.
• Provide guidance and mentorship to junior data team members as needed.
• Work with IT and development teams to deploy scalable AI applications.
• Continuously monitor and improve AI model performance and accuracy.
• Contribute to the company's data strategy to enhance overall data literacy.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Proven experience in data analytics and statistical analysis methodologies.
• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent communication skills to convey technical concepts to non-experts.
• Ability to manage multiple projects and meet tight deadlines consistently.
• Solid understanding of data privacy and ethical AI practices.