Remote Data Analyst, Report Analyst

Summary

Join Tala's mission to unleash the economic power of the Global Majority by creating a unique platform for lending and financial services. As a Data Analyst, you will provide actionable insights and ensure analytics model and data are accessible to end users.

Requirements

• BA/BS in quantitative fields (statistics, economics, mathematics, data science, etc.)
• 2+ years in a data-intensive/quantitative role
• Strong demonstrated analytical/business intelligence experience, including data visualization for diverse audiences
• Advanced proficiency with SQL & Excel
• Experience with Looker, Tableau or similar data visualization tools
• Exceptional verbal and written presentation skills, especially with non-technical audiences
• Exceptional, proven ability to translate data into actionable recommendations
• Proficiency with statistical techniques

Responsibilities

• Support streamlining daily, weekly, and monthly operational metric reporting
• Analyze data for trends and patterns, understanding insight from data with an unbiased mindset within CX and recoveries data
• Communicate your findings to both technical and non-technical stakeholders
• Ensure monthly reporting of team effectiveness and prioritize different solutions based on tradeoffs/risks so the CX/Recovery leaders can optimize performance of their teams
• Manage team dashboards and ensuring information is accurate and transparent
• Collaborate with in-country Recoveries leaders and BI analysts to understand and prioritize performance reporting requirements, using this to inform a globally consistent set of metrics
• Analyze effectiveness of internal and external Recoveries strategies, including EDC stage performance, internal call/SMS frequencies, etc
• Learn and manage operational Looker reports, handle requests for adjustments or improvements
• Research frameworks, solutions, and methodologies to address key operational or efficiency problems across business processes for the customer experience and recoveries Department
• Concurrently deliver on portions of multiple strategy projects in a fast-paced, intense, results-oriented environment
• Help manage vendor related matters such as costs analysis, billing and reconciliations
• Manages Automation and Optimization of reports, insights and data collection

Preferred Qualifications

• Understanding of common ML algorithms and techniques for clustering, classification, regression, anomaly detection, recommender systems
• Experience using GitHub, JIRA
• Experience working in financial services/lending
• Experience working with an international, distributed team
• Experience with at least one programming language (ex. Python)