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

City of Dallas•Dallas, TX

About The Position

Dallas is Growing. Grow With Us. Looking for more than just a job? The City of Dallas offers careers with purpose. With competitive benefits, growth opportunities, and a vibrant work culture, we’re committed to helping you thrive while you help our city flourish. Be part of a team that’s committed to service, innovation, and community. Job Summary Analyzes and studies the data collected to reveal ways to improve a business entity; or databases and the data entered into those databases to help better business decisions. This position conducts studies, gathers and analyzes data from various databases and sources, develops reports, summaries, recommendations, and visual representations, performs statistical programming and provides consultation and technical assistance. Job Description Overview The Senior Data Science Analyst reviews, analyzes, and studies the collection, retrieval, and management functions to determine efficiency and effectiveness of data control. Conducts studies, gathers and analyzes data from various databases and sources, develops reports, summaries, recommendations, and visual representations, performs statistical programming, and provides consultation and technical assistance.

Requirements

5 years of experience performing financial or data analysis
Bachelor's Degree in Data Analytics, Business Intelligence, Finance, Accounting, Math, Statistics, Financial Analysis or other related field.
Thorough business orientation and strong analytic ability to derive and translate data designs from business concepts.
Knowledge of public administration and related data management.
Through knowledge in developing, promoting and rolling out new data functions.
Knowledge of the concepts of Data Science and Big Data Analytics, including a good proficiency of computer programming, database querying, statistical modeling, dashboarding, and visualization of data.
Knowledge and/or training in Data Analysis, Data Modeling, Dimensional Modeling and Data Warehouse concepts.
Knowledge of GIS and other spatial analysis tools.
Knowledge of data modeling tools.
Ability to manage projects and determine success.
Ability to successfully work on multiple projects simultaneously, in a fast-paced environment.
Ability to thrive when given broad objectives with minimal supervision, enjoy a fast paced “startup” like environment.
Ability to write technical language.
Communicating effectively verbally and in writing
Establishing and maintaining effective working relationships.

Responsibilities

Coordinates analysis of data collected from across all departments to reveal ways to improve a business entity for data driven business decisions; analyzes business procedures and makes improvement recommendations while reviewing and validating system functionality.
Collects compiles and analyzes data from various databases and performs statistical analysis; coordinates the evaluation of user accounts for a variety of data and database systems, develops related reports, and provides user training and support.
Performs research and compiles data from various databases and sources; interfaces with stakeholders across multiple functional disciplines to understand business processes, define system requirements, identify data sources, and work with a technology team to complete the development life cycle.
Designs and prepares standard and ad hoc reports and summaries for statistical analysis and planning purposes.
Develops predictive models using machine learning, natural language, and statistical analysis methods such as classification, time-series analysis, regression, statistical inference, and validation tools; performs exploratory data analyses, generates and tests working hypotheses, prepares and analyzes historical data, and identifies patterns; develops tools and dashboards to monitor and analyze performance, accuracy, and reset goals; plans and builds efficient scalable models that get automated for large scale data analyses, development, validation, and implementation
Analyzes client requests and provides guidance and technical assistance in obtaining accurate information from the City’s core data source; meets, engages, and collaborates with departments to discuss expectations, initiate the writing of the business requirements documents, and participates in follow up meetings; discusses options and expected outcomes based on data available.
Develops, coordinates, and conducts workshops and seminars on data analysis, data interpretation, and related topics.
Documents procedures for future reference and may make recommendations for data analysis process improvements.
Provides technical help with data analytics, visualization, and overall data analysis concept to personnel and department management requesting help within the data management area; answers questions and participates in technical forums that require technical expertise for designing future projects or for problem solving.
Performs statistical programming utilizing a variety of statistical software packages to summarize data and create reports and/or visual representations.
Performs any and all other work as needed or assigned.