Data Science Analyst II - Data Business Intelligence (DBI)

City of Dallas•Dallas, TX

10d•$64,251 - $79,810

About The Position

The Data Science Analyst II provides professional analysis, evaluation, and research of data streams and uses large data sets to identify insights that support business needs. The position provides analytical information to management about department procedures, processes, and structure to support organizational improvement. The analyst works with personnel, management, and department staff to answer business questions, clarify data, and solve business needs. The role researches and runs database algorithms, forecasts, mines data, and performs statistical analysis. It also supports predictive modeling, develops tools to monitor model performance and data accuracy, and communicates findings through reports, recommendations, summaries, and visualizations. The position conducts studies and research into procedural, financial, and structural barriers, evaluates potential fiscal and program restructuring, documents procedures, advises clients on statistical results, and may recommend improvements to data analysis processes. The work involves sensitive data and requires obtaining and maintaining the required clearance, including CJIS Clearance within the first 30 days of hire if the selected applicant does not already hold it. The listed salary range is $64,251.20–$79,809.60; the amount offered depends on qualifications.

Requirements

Bachelor's degree in Statistics, Data Management, Quantitative Analysis, or a related field.
Three years of experience performing data analysis.
Proficiency in R and/or Python.
Proficiency in SQL.
Experience creating customized models and algorithms.
Examples of past work translating data into visualizations or report-outs.
Demonstrated experience working with large datasets.
Knowledge of data management and systems, data science analytics, data models, and algorithms.
Ability to provide source data analytics, work with personnel and stakeholders to identify business needs, investigate data issues, manage analytics projects and timelines, and create and present accurate reports.
Effective verbal and written communication skills and ability to establish and maintain strong relationships.
Must obtain and maintain the required clearance for work involving sensitive data. Felony or class A misdemeanor convictions, family violence convictions, and class B misdemeanor convictions within the last ten years prevent obtaining the clearance.
Must obtain CJIS Clearance within the first 30 days of hire if not already certified.

Nice To Haves

Competency in both R and Python.
Knowledge of querying languages other than SQL.
Familiarity with GIS and integration of geospatial data.
Experience in data automation.
Experience performing data mining and statistical analysis with civic, socioeconomic, and/or demographic data.
Cross-functional experience in business or social sciences.
Experience mentoring or supervising junior data roles.
A master's degree in a math, statistics, physics, computer science, engineering, or related field plus one year of required experience may satisfy the education and experience requirements.

Responsibilities

Work with personnel, management, and department staff to analyze business questions, clarify data, and address business needs.
Research, identify, and run database algorithms to locate data sets and information; forecast, mine data, and perform statistical analysis.
Collaborate with team members to apply statistical analysis and pattern recognition alongside domain and program knowledge to solve business issues.
Assist with predictive modeling to improve customer experiences, revenue generation, and other business outcomes.
Develop tools to monitor model performance and data accuracy, and analyze information to improve business decisions.
Provide data sets to decision makers to support program, service, and department solutions.
Conduct studies; gather and analyze data; develop reports, summaries, recommendations, and visual representations; perform statistical programming; and provide consultation and technical assistance.
Research and analyze procedural, financial, and structural barriers; assess the desirability and feasibility of fiscal and program restructuring; and develop or direct recommendations to senior management.
Document procedures, and may recommend improvements to data analysis processes.
Counsel clients in interpreting and summarizing statistical results.
Perform other work as needed or assigned.