DATA ANALYST II
About The Position
The Data Analyst II undertakes professional, special, and recurring assignments involving the full lifecycle of data analytics, including requirements and design, data cleaning, development of analysis and reporting capabilities, linking databases and datasets, and monitoring performance and quality control plans to identify model improvements. The role assures the integrity of project data through extraction, storage, manipulation, processing, and analysis, and provides expertise in querying and interpreting data, applying statistical techniques, developing predictive models using administrative datasets, and preparing ongoing reports. The position works under the general supervision of a superior, with considerable latitude for independent judgment and initiative. Work is reviewed for conformance with state policies and procedures. The position may supervise less experienced personnel assigned to projects or ensure work products are developed with quality and timeliness. The role also works with management and stakeholders to address information needs, present analytical findings, and identify process improvements.
Requirements
- Thorough knowledge of data models, regression analysis, database design and development, data mining, and segmentation techniques.
- Thorough knowledge of sophisticated reporting packages, databases, and programming.
- Thorough knowledge of statistical methodologies and techniques used to analyze large datasets.
- Ability to collect, organize, analyze, and disseminate substantial amounts of information accurately and with attention to detail.
- Ability to conduct queries, draw conclusions, prepare written reports, and present findings clearly and concisely.
- Ability to mentor and/or supervise less experienced analysts as required.
- Ability to establish and maintain effective working relationships with state and municipal officials, superiors, subordinates, and the public.
- Either a master's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a closely related field with similar technical and computational emphasis; or a bachelor's degree in one of these fields or a closely related field with similar technical and computational emphasis, plus considerable professional data analyst employment experience.
Responsibilities
- Conduct the full lifecycle of data analytics, including requirements and design, data cleaning, analysis and reporting, database and dataset linking, and ongoing performance and quality monitoring.
- Assure the integrity of project data, including its extraction, storage, manipulation, processing, and analysis.
- Query and interpret data, analyze results using statistical techniques, develop predictive models using administrative datasets, and provide ongoing reports.
- Develop and implement data collection systems and strategies to optimize statistical efficiency and data quality.
- Work with management to prioritize business and information needs.
- Visualize and present analytical findings to program owners and other stakeholders.
- Acquire data from primary or secondary sources and maintain databases and data systems.
- Identify, analyze, and interpret trends or patterns in complex datasets.
- Link databases and datasets to generate integrated datasets.
- Filter and clean data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
- Participate in decisions concerning data collections, study design, methodology, and data analysis.
- Identify new process improvement opportunities.
- Mentor or supervise less experienced analysts as required, and help ensure project work products are timely and high quality.
- Perform related work as required.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
