DUTIES:Develop scalable systems to expand reporting capabilities, facilitate ad hoc analysis, and improve data-driven decision-making at all levels of the business. Utilize code (SQL, python, etc.) and apply statistical and engineering expertise to solve business reporting problems. Develop scalable tools to drive automation and optimize business operations. Work with large, complex data sets. Solve difficult data transformation problems with efficiency, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build analysis and reporting pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of ELC data structures and metrics, advocating for changes where needed for product development. Maintain standards for writing clean, organized code and documentation to streamline data and analytics workflow. Provide subject matter expertise and mentorship for junior analytics professionals to deliver data-driven solutions in support of established roadmaps. Drive and promote a culture of testing, observability, and scalability with a data-driven mindset and measurable approach. Manage and continuously improve business user’s experience with data and reporting, including KPI development, data visualization, and communication of applicable insights to audiences at varying levels of technical sophistication. Develop partnerships with engineering, data science, and product teams to deliver on cross-functional reporting, measurement, and testing efforts. Solve analytical problems, and effectively communicate methodologies and results both verbally and in writing.REQUIREMENTS:Bachelor’s degree in Computer Science, Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Mathematics, Physics, Engineering or related quantitative field or foreign equivalent and three years of experience as a Software Engineer, Data/Analytics Engineer, or related role. Experience must include working in descriptive statistical analysis and data transformation; Utilizing analytics software including PowerBI, Tableau, and AWS Quicksight; Using SQL, Python, R, and Databricks; Delivering data-driven products and insights; Working with large-scale cloud database systems including Apache Snowflake; Analyzing, validating, and transforming large datasets; Deploying data-intensive solutions and working within the software development lifecycle; Crafting compelling data visualizations to inform business decisions; and implementing analytical and/or algorithmic solutions tailored to business needs and tested on large data sets.

Minimum Salary: 108,306 Maximum Salary: 165,750 Salary Unit: Yearly