Our client, a leading enterprise with a massive technology platform, is looking for a Data Analysis & AI Business Analyst. You will play a pivotal role in driving data-centric decision-making processes and implementing AI-driven solutions. You will collaborate with various teams, including business executives, data scientists, and IT professionals, to identify business challenges, explore data-driven opportunities, and deliver actionable insights. The ideal candidate is a highly analytical thinker, possesses strong business acumen, and has a passion for leveraging advanced analytics and AI technologies to drive business growth.
Collaborate with key stakeholders to understand business objectives and challenges, and identify opportunities where data analysis and AI can provide strategic value.
Conduct comprehensive data analysis to extract transformative insights, utilizing statistical techniques, data modeling, and data mining methodologies.
Develop predictive models, algorithms, and machine learning approaches to anticipate future trends, patterns, and consumer behaviors.
Interpret and present findings from data analysis and AI initiatives to technical and non-technical stakeholders in a clear and concise manner, highlighting actionable recommendations.
Partner with business leaders to define key performance indicators (KPIs) and establish metrics for evaluating the success of AI-driven initiatives.
Collaborate with data scientists and IT teams to ensure seamless implementation of AI models and technologies into existing business systems.
Monitor and evaluate the performance of AI models, ensuring their accuracy, reliability, and efficiency over time and recommending necessary adjustments.
Stay up-to-date with the latest advancements in AI technologies, data analysis tools, and industry best practices, leveraging this knowledge to drive continuous improvement within the organization.
Bachelor's degree in Computer Science, Statistics, Data Science, Business Analytics, or a related field. Advanced degree preferred.
Proven experience in data analysis, statistical modeling, and predictive analytics, utilizing programming languages such as Python or R would be a great plus.
Familiarity with AI technologies, including machine learning, natural language processing, and computer vision.
Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable insights.
Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Experience working within enterprise systems and databases, with proficiency in SQL and data visualization tools such as Tableau or Power BI.
Ability to work effectively both independently and in a team-oriented, collaborative environment.
Strong organizational and time management skills, with the ability to manage multiple projects simultaneously.