We all know every decision should be driven by data. But what about the data you don’t know? For years, the status quo in data aggregation has lacked visibility, moved slowly, and cost too much. Leaving organizations to make critical decisions, day after day, without the whole picture. Premise changes that. Across 138 countries and counting, our technology connects communities of global smartphone users to source actionable data in real-time, cost- effectively, and with the visibility you need. So leaders inside organizations, non-profit agencies and governments can now make the best decisions under the best conditions. With Premise, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And, unlike other data sourcing methods out there, they can do it all with full transparency that the data they’re gathering is going to an organization that values it, and values them. Position Summary We're growing rapidly, and we're searching for an analytical and detail-oriented Data Analyst to join our Data Quality team in Bogotá, Colombia. In this role, you'll be responsible for ensuring data quality across our pipeline, conducting in-depth analyses, and providing valuable insights that help our clients understand their performance in stores. What You Will Do You'll work in the Data Quality team, focusing on data quality and analysis to ensure our Rolling Retail Census, Trackers, and other commercial products deliver reliable insights. Drive Data Quality Excellence - Design and implement comprehensive data quality checks across the commercial product pipelines - Monitor data consistency, completeness, and accuracy - Create and maintain dashboards to track quality metrics - Identify patterns and trends in data quality issues Data Investigation & Troubleshooting - Investigate unexpected variations in key metrics, from raw data collection to final reporting - Analyze historical trends to identify and explain significant changes in market indicators - Deep dive into data anomalies to trace issues through the transformation pipeline - Proactively identify potential data quality risks by analyzing patterns across different data sources - Collaborate with cross-functional teams to implement systematic fixes for recurring issues - Develop reports to communicate key findings to stakeholders Advanced Analytics & Models Support - Collaborate with data science teams on ML models development and implementation - Apply statistical methods to detect anomalies and investigate data patterns - Prepare and validate data for various modeling initiatives - Analyze model outputs and provide business context for results - Develop and test hypotheses about relationships between variables What You Bring Along - Proficiency in English (beneficial, not mandatory) - BA/BS in Analytics, Statistics, Mathematics, Economics, or related field - MUST: 3-5 years of hands-on experience with SQL and data analysis - 2+ years of quantitative or statistical analysis experience with Python - Experience with data quality monitoring and validation - Proficiency in data visualization tools - Strong analytical and problem-solving skills - Good communication skills (both for technical and non-technical audiences) - Proactive approach to identifying and solving problems - Relentless drive to listen, learn, and improve the world around you Bonus Points: - Experience with a data visualization tools (Periscope Data, Google Data Studio, Tableau, Qlik, Looker, etc) - Experience developing and implementing ML models - General analytics experience, generating client-facing reports, ideally in the commercial sector (ie market research companies, consumer packaged goods vendors, etc.) - Experience with data quality frameworks - Familiarity working with Google BigQuery and Qlik View/Qlik Sense - You excel in ambiguity and are confident in diving deep to find items of interest in large datasets - Passion for creating greater transparency in the world, particularly in developing economies - Passion for spreading mobile technology in the developing world