Climate LLC:  Senior Data Analyst for St. Louis, MO to conduct exploratory data analysis to decompose complex business problems; define, prioritize & set timelines to deliver data insights and analytic requests; provide input on data architecture, generation, pipeline & code storage decisions; build & implement operational models, statistical analyses and business intelligence tools to derive insights from user behavior data and improve business performance; participate in technical peer reviews; drive best practices regarding operational data models. Requires Master’s in C.S., Applied Mathematics, Operations Research or closely-related quantitative field & 2 yrs experience conducting dataframe manipulations & working with complex datasets using SQL and/or PySpark; using version control systems, including Git, to store & distribute codebase with peers; conducting exploratory data analysis to evaluate data trends using data science packages in Python, including Numpy, Pandas, Matplotlib and/or Seaborn; developing dashboards & user interfaces to track customer and/or internal model delivery; creating & managing continuous integration and deployment of automated data pipelines to develop datasets for operational model ingestion by working with large and diverse datasets across multiple databases and source APIs; designing experiments & applying data quality checks to identify limitations in data; and communicating with technical & non-technical stakeholders, including business and/or academic stakeholders, peer groups and team members. Telecommuting permitted from home office location within reasonable commuting distance of St. Louis, MO up to 3 days per week. Mail resume to Jill Martin, Climate LLC, 4 CityPlace Drive, Suite 100, St. Louis, MO 63141 or email resume to [email protected].  Reference Job Code 3644.