Data Science Analyst I (Data Analytics & Business Intelligence - Non-Civil Service)

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Job Summary

The Data Science Analyst I provides routine analysis, evaluation, and research of various data streams and utilizes large data sets to determine unique insights to further business needs. Discovers and identifies innovative ways to evaluate data and performs professional analysis to navigate a dataset and come out with conclusions based on certain assumptions.

Job Description
 

Overview

The Data Science Analyst I provides routine analysis, evaluation, and research of various data streams and utilizes large data sets to determine unique insights to further business needs. Discovers and identifies innovative ways to evaluate data and performs professional analysis to navigate a dataset and come out with conclusions based on certain assumptions.

Essential Functions

• 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.
• Researches, identifies, and runs various database algorithms to find and locate data sets and other information; perform various data science analytics ensuring efficiency and accuracy in reporting/
• Collaborates with other team members to apply statistical analysis, pattern recognition with domain and program specific knowledge to solve business issues.
• Assists and supports in the development of predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.
• Develops tools to monitor and analyze model performance and data accuracy.
• Provides detailed and concise data sets to decision makers to assist in leveraging data to drive program, service, and department solutions.
• Develops mechanisms to ingest, analyze, validate, normalize, and clean data.
• Retrieves, gathers, and analyzes data from databases, websites, department systems, etc.
• Performs any and all other work as needed or assigned.

Knowledge and Skills

• Knowledge of data management practices and procedures.
• Knowledge of Tableau.
• Knowledge of data coordination and manipulation.
• Knowledge of knowledge of data analytics or data science lifecycle.
• Knowledge of ethical and legal data management practices.
• Knowledgeable of database and programming languages.
• Knowledge of data visualization tools and software.
• Advanced Knowledge in MS Word, Excel and Outlook.
• Ability to gather, organize, and compile data and information.
• ability to use data science tools to approach a problem and ability to humanize data sets and communicate insights.
• Ability to interpret large data sets and effectively convey information.
• Ability to manage time and handle various projects.
• Ability to identify data issues and troubleshoot to solve problems.
• Communicating effectively orally and in writing.
• Establishing and maintaining effectively working relationships.

Minimum Qualifications

Experience

Two (2) years of performing data analysis.

Licenses and Certifications

None

Education

Bachelor's degree in a Math, Statistics, Physics, Computer Science, Engineering, or Related Field.

Equivalencies          

• A high school diploma or GED plus six (6) years of the required experience will meet the education and experience requirements.

• An associate degree in math, statistics, physics, computer science, engineering, or related field plus five (5) years of the required experience will meet the education and experience requirements.

• A bachelor’s degree or higher in any other field other than those stated above plus five (5) years of required experience will meet the education and experience requirements.

• A master’s degree in a math, statistics, physics, computer science, engineering, or related field plus one (1) year of the required experience will meet the education and experience requirements.

Other Requirements<