Softgic
Cloud • Cybersecurity • Artificial Intelligence
Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
Senior Data Analyst
Job not on LinkedIn
November 1
Softgic
Cloud • Cybersecurity • Artificial Intelligence
Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.
51 - 200 employees
Founded 2011
🔒 Cybersecurity
🤖 Artificial Intelligence
📋 Description
• Develop, maintain, and optimize Power BI dashboards and reports to monitor portfolio performance, loan servicing, and collections. • Analyze consumer lending portfolios, including client-level credit performance, delinquencies, repayment trends, and yield optimization. • Deliver actionable insights to leadership on risk, profitability, and growth opportunities. • Partner with operations, finance, and strategy teams to design KPIs and performance metrics for business units. • Conduct ad hoc analyses to support executive decision-making, deal evaluations, and new product launches. • Ensure data accuracy, governance, and consistency across reporting systems. • Mentor junior analysts and promote best practices in BI, analytics, and data storytelling.
🎯 Requirements
• Bachelor’s degree in Finance, Economics, Statistics, Data Analytics, or a related field. • 5+ years of experience in data analytics, including 2+ years in consumer finance, lending, or financial services. • Proven expertise in Power BI (DAX, Power Query, data modeling, and visualization best practices). • Strong proficiency in SQL and relational databases; experience with Python, R, or Rust is a plus. • Interest in applying emerging AI tools for data analysis. • Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights for senior leadership.
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