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Data Analyst
hace 3 semanas
What You’ll do?
Learn and manage operational Looker reports, handle requests for adjustments or improvements. 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. Drive team dashboards and ensuring information is accurate and transparent. Drive monthly Quartile analysis for Recoveries (inhouse, first party, and third party). Develop expertise in Zendesk reporting capabilities and assist with creating reports to optimize CX performance metrics and staffing. 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. Drive analisis effectiveness of internal and external Recoveries strategies, including EDC stage performance, internal call/SMS frequencies, etc. Ensure proper quality and cleaning of CX/CL data for operational reports. Support streamlining daily, weekly, and monthly operational metric reporting. Drive data analysis on trends and behavior within Customer Experience data. Research frameworks, solutions, and methodologies to address key operational or efficiency problems. Perform data-driven analytical projects to identify, prioritize, structure, and solve critical problems across business processes for the Customer Experience Department. Assess potential risks, solutions, tactics and strategic plans to assist the CX Management Team in making decisions. Concurrently deliver on portions of multiple strategy projects in a fast-paced, intense, results-oriented environment. Support CX leadership team on long range planning projects and ad hoc requests. Drive Automation and Optimization of reports, insights and data collection. Handle credit bureau reporting process end to end and support in relationship management.
What You’ll Need
BA/BS in quantitative fields (statistics, economics, mathematics, data science, etc.). 3+ years in a data-intensive/lead role. Strong demonstrated analytical/business intelligence experience, including data visualization for diverse audiences. Extensive experience managing and analyzing data, including strong understanding of data integration and management. Experience with Looker, Tableau or similar data visualization tools. Experience with SQL. Exceptional verbal and written presentation skills, especially with non-technical audiences. Skilled proficiency in preparation of reports, presentations, summaries and analysis. Nice to have: Experience with at least one programming language (ex. Python). Experience using GitHub, JIRA. Experience working in financial services/lending. Experience working with an international, distributed team.-
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