Data Analyst

You will be responsible for assembling large, complex sets of data that meet non-functional and functional business requirements. You will develop and maintain scalable data pipelines, as well as build new API integrations to support increasing data volume and complexity. Collaboration with analytics and business teams is crucial to improve data models feeding business intelligence tools, increasing data accessibility, and promoting data-driven decision making across the organization. Your role will involve building the necessary infrastructure for optimal extraction, transformation, and loading of data from various sources using SQL and other technologies. You will implement processes and systems to monitor data quality, ensuring accurate production data is always available for key stakeholders and business processes. Additionally, you will write unit/integration tests, contribute to the engineering wiki, and document your work. Data analysis will be a key part of your responsibilities to troubleshoot data-related issues and aid in resolving them. Working closely with frontend and backend engineers, product managers, and analysts is essential. You will define company data assets, develop spark, sparkSQL, and hiveSQL jobs to populate data models, design data integrations, and establish a data quality framework. Collaboration with all business units and engineering teams will be necessary to devise a strategy for long-term data platform architecture. Moreover, you will create analytical tools utilizing the data pipeline to provide actionable insights into key business performance metrics such as operational efficiency and customer acquisition. Qualifications / Skills: - Knowledge of best practices and IT operations for an always-up, always-available service - Experience with Agile Software Development methodologies - Previous experience as a data engineer or similar role - Technical expertise in data models, data mining, and segmentation techniques - Proficiency in programming languages such as Java and Python - Hands-on experience with SQL database design - Strong numerical and analytical skills - Excellent problem-solving and troubleshooting abilities - Process-oriented with exceptional documentation skills - Outstanding oral and written communication skills coupled with a strong customer service orientation,