10 Job Postings
2025-07-17 - 2026-07-17
The common responsibilities for this position include analyzing financial and operational data to support budgeting, forecasting, and performance tracking. Developing and maintaining dashboards and reports that provide insights into revenue streams, cost structures, and operational efficiency. Collaborating with finance and operations to identify trends, risks, and opportunities for business improvement. Designing, building, and maintaining data models, dashboards, and visualizations for audit functions. Extracting, cleansing, and analyzing structured and unstructured data using SQL and Python to identify trends and control gaps. Supporting strategic decision-making by providing actionable insights and recommendations based on data analysis. Managing data operations and development across Customer Data Platforms and CRM systems. Conducting exploratory data analysis to uncover trends, patterns, and anomalies. Collaborating with cross-functional teams to understand business needs and deliver data-driven recommendations. Ensuring data accuracy, integrity, and compliance with relevant policies and standards. Developing and training Generative AI agents and automating analytics scripts and workflows to enhance efficiency. Communicating insights effectively through data visualization and presentations tailored to business audiences.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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