Data Analyst

Job Title: Data Analyst

Job Summary: We are seeking a highly analytical and technically skilled Data Analyst with AI/ML expertise to work with large, complex Accounts Receivable (AR) datasets. This role will focus on transforming raw, multi-source AR files into structured insights, defining KPIs, and providing directions for AI analytics and insights to uncover patterns, trends, and predictive signals. The insights generated will directly support our development team in building intelligent, data-driven solutions.

Key Responsibilities:

• Understand complex AR datasets (structured/unstructured).
• Define core KPIs, automated dashboards and reporting for real-time visibility.
• Collaborate with developers and data engineers to operationalize analytics models into applications.
• Provide directions to use NLP, clustering, and pattern recognition to extract insights from unstructured AR files.
• Translate business problems into data science use cases, delivering actionable insights.

Qualifications:

• Bachelors degree in data science, Statistics, or related field.
• Minimum experience of 2-3 years as a Data Analyst or working with big data analysis.
• Proven experience in AI/ML-driven analytics, preferably with financial or AR-related data.
• Strong proficiency in statistical analysis, machine learning, and automation.
• Knowledge of SQL and experience working with large relational databases.
• Experience with data visualization tools (Power BI, Tableau, Looker, or similar).
• Knowledge of AR/finance domain concepts (billing, collections, reconciliation) is a plus but not mandatory.
• Ability to translate complex technical insights into business-friendly recommendations.