Data Science Analyst II (Data Analytics and Business Intelligence - Non Civil Service)

Knowledge and Skills: **1 **Knowledge of data management and systems. 2 Knowledge of data science analytics. 3 Knowledge of data models and algorithms 4 Ability to provide source data analytics to facilitate business needs. 5 Ability to work with various personnel and stakeholders to identify business needs. 6 Ability to research, investigate, and identify data issues. 7 Ability to manage data analytics projects and timelines. 8 Ability to create and present sound and accurate reports. 9 Communicating effectively verbally and in writing. 10 Establishing and maintaining strong relationships. **11 **Proficiency in R and/or Python required. Competency in both strongly preferred. **12 **Proficiency in SQL required; knowledge of other querying languages a plus. **13 **Experience in the creation of customized models and algorithms. **14 **Examples of past translation of data into visualizations or report outs required. **15 **Demonstrated experience working with large datasets. **16 **Familiarity with GIS as a plus, to integrate with geo spatial data. **17 **Experience in data automation preferred. **18 **Experience performing data mining and statistical analysis with civic, socioeconomic, and/or demographic data. **19 **Cross-functional experience in business or social sciences preferred but not required. **20 **Experience mentoring or supervising junior data roles a plus.

Essential Functions: **1 **Works with various personnel, management, and department staff to effectively perform analysis that answers business questions, solves business needs, clarifies data, and adds business values. 2 Researches, identifies, and runs various database algorithms to find and locate data sets and other information; forecasts, data mines, and performs statistical analysis to assist organization and department in solving challenging problems. 3 Works with other team members to apply statistical analysis, pattern recognition with domain and program specific knowledge to solve business issues. 4 Assists and supports in the development of predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes. 5 Develops tools to monitor and analyze model performance and data accuracy; analyzes information to improve business decisions. 6 Provides detailed and concise data sets to decision makers to assist in leveraging data to drive program, service, and department solutions. 7 Conducts studies, gathers and analyzes data from various databases and sources, develops reports, summaries, recommendations, and visual representations, and performs statistical programming and provides consultation and technical assistance; conducts research and logical analysis of procedural, financial and structural barriers to determine areas of needed improvement; appraises and evaluates the desirability and feasibility of fiscal and program restructuring, and develops or directs the development of recommendations to senior management. 8 Documents procedures for future reference and may make recommendations for data analysis process improvements: counsel's clients in interpreting and summarizing statistical results. 9 Performs any and all other work as needed or assigned.

Knowledge and Skills: **1 **Knowledge of data management and systems. 2 Knowledge of data science analytics. 3 Knowledge of data models and algorithms 4 Ability to provide source data analytics to facilitate business needs. 5 Ability to work with various personnel and stakeholders to identify business needs. 6 Ability to research, investigate, and identify data issues. 7 Ability to manage data analytics projects and timelines. 8 Ability to create and present sound and accurate reports. 9 Communicating effectively verbally and in writing. 10 Establishing and maintaining strong relationships. **11 **Proficiency in R and/or Python required. Competency in both strongly preferred. **12 **Proficiency in SQL required; knowledge of other querying languages a plus. **13 **Experience in the creation of customized models and algorithms. **14 **Examples of past translation of data into visualizations or report outs required. **15 **Demonstrated experience working with large datasets. **16 **Familiarity with GIS as a plus, to integrate with geo spatial data. **17 **Experience in data automation preferred. **18 **Experience performing data mining and statistical analysis with civic, socioeconomic, and/or demographic data. **19 **Cross-functional experience in business or social sciences preferred but not required. **20 **Experience mentoring or supervising junior data roles a plus.