Data Analyst

hace 1 semana

Ciudad de México, Ciudad de México Tala A tiempo completo
About Tala Tala is a global technology company building the world's most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC's Disruptor 50, and Forbes' Fintech 50 list for five years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 7 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we'd love to hear from youWe are currently seeking a Data Analyst & Reporting Lead that:Ensures consistency of process and usage, and champions best practices in data management Oversees data accuracy processes, goals and assessment. Researching + understanding root cause of data challenges.Designing new metrics and analysis parameters.Accountable for getting work done through others. Planning work, filling jobs, assigning work, scheduling, coaching, and measuring work of others. Raises performance successes and concerns. Oversees the team that develops and maintains the highest levels of data competency, accuracy standards and reporting capacity across Tala MX.

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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