Data Analyst

Data AnalystHighly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, you should be committed to transforming data into readable, goal-driven reports for continued innovation and growth. You will be relied up on to research and recommend integration and analytical products and architectural patterns as well as possessing the ability to provide implementation guidance. Great communication and collaboration is crucial to this role as you will be partnering with teams across IT, R&D and various business units and should be able to articulate the current and end-state architectures to the various stakeholdersDevelop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworksIdentify trends and opportunities for growth through analysis of complex data setsEvaluate organizational methods and provide source-to-target mappings and information-model specification documents for data setsCreate best-practice reports based on data mining, analysis, and visualizationEvaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning dataWork directly with management and users to gather requirements, provide status updates, and build relationshipsWork closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makersProactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivityCreate and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sourcesDefine and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solutionDevelop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across data sets