Data Analyst
: Job Details :

Data Analyst Hybrid @ NYC Duration: 06+ Months Pay Rate: $46/hr (40 Hours/Week) or $55/hr (35 Hours/Week) Job Description: As the Data Science team in Global Infrastructure Product Services embarks on building and deploying machine learning (ML) models, we are seeking a data analyst to join our team. This role is focused on collaborating closely with cross-functional teams to analyze complex datasets, extract actionable insights and drive strategic decision-making to support our business objectives. We are seeking Data Analysts who are not only technically adept, but also understand the importance of harnessing the power of data and stakeholder management to streamline financial operations, infrastructure asset utilization that enhance decision-making and improve business outcomes. This team is focused on developing and maintaining dynamic technology infrastructure cost allocation and projection models along with enhancing infrastructure monitoring, incident prediction, and automated resolution capabilities. The role requires a blend of technical prowess in analytics, data engineering, and an understanding of enterprise infrastructure components & their economics. The team shall be working on various interesting projects including analytical insights for financial forecasting, contract intelligence and AIOps. If you are a highly motivated and experienced data analyst looking to make significant impact in a dynamic environment, and you have proficiency and experience with analyzing and visualizing data, extracting actionable insights and uncovering trends, here's just some of what you'll do: • Collaborate with stakeholders across the organization to understand functional requirements and translate them into actionable data analysis tasks • Collect, clean and manipulate data from multiple sources to prepare it for analysis, ensuring accuracy and completeness • Perform exploratory data analysis to uncover trends, patterns and correlations, and provide valuable insights • Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making • Assist with the development and implementation of predictive models and analytical methodologies to forecast infrastructure resource needs and support proactive planning efforts • Support ad-hoc analysis requests and special projects as needed, demonstrating flexibility and adaptability with addressing evolving business needs • Stay updated on industry trends and best practices in data analysis and strategic analytics, and actively contribute to the continuous improvement of our analytical capabilities. Job Qualifications: • Bachelor's or Master's degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related discipline is a plus • 2+ years of experience in a data analysis role, with a proven ability to manipulate and analyze large datasets • Experience in AIOps • Thorough understanding of enterprise infrastructure technologies such as Compute, Storage, Network, Mainframe to inform model development and adjustments • Proficiency in data manipulation and analysis using Python and SQL • Proven experience in creating compelling presentations and reports using Powerpoint, Figma or Canva • Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings effectively • Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders across different functions and levels of the organization • Strong analytical and problem-solving skills, coupled with a keen attention to detail and the ability to uncover insights from data • Proven ability to work independently as well as collaboratively in a fast-paced and dynamic environment, with a passion for learning and professional growth