Qualifications
Key Responsibilities:• Execute a variety of standard and custom analytical projects utilizing SQL, Python, Excel, and Power BI, employing structured problem-solving methodologies to fulfill business requirements independently.• Research and hypothesize to develop analytical strategies for identifying and interpreting trends in complex datasets.• Convert analytical problem statements and data requirements into scalable solutions, including the creation, automation, standardization, and maintenance of reports and dashboards.• Leverage various analytical techniques, including descriptive, diagnostic, and predictive methods, to analyze and interpret data.• Implement data validation and quality assurance processes to ensure accurate, reproducible outputs.• Craft clear data visualizations and technical summaries that enhance data storytelling and interpretation.• Develop executive-ready presentations that clearly communicate analytical results, assumptions, limitations, and implications.• Document and convey analytical findings to both technical and non-technical audiences as necessary.• Collaborate with stakeholders to clarify analytical goals, validate assumptions, and deliver sound analytical solutions that drive business decisions.• Contribute to the growth of IMA’s data culture through collaboration, knowledge sharing, and effective analytics utilization in decision-making.
About the job
The Data Analyst II position offers an exciting opportunity for a detail-oriented individual to engage in moderately complex analytical tasks across diverse data sources. In this role, you will transform raw data into actionable insights, creating high-quality reports, dashboards, and supporting datasets essential for informed decision-making. This position is pivotal in enhancing IMA’s analytics capabilities and fostering a robust data culture.
As a Data Analyst II, you will collaborate closely with fellow analytics professionals and stakeholders across the organization, ensuring a balance between in-depth analytical work and a keen understanding of how insights are utilized. The ideal candidate thrives in a data-driven environment, applying analytical rigor and technical problem-solving skills while considering the broader implications of their work. You will be responsible for the entire analytical process, from defining the problem to delivering solutions.
