New York State - Office of the Attorney General
Under the direction of an Enterprise Reporting and Self-Service Analytics Lead (IT Architect 1), SG-25, the Data Analyst 2, SG-23, will interpret and analyze complex datasets to provide insights and support data-driven decision making for the CIO and other Information Technology (IT) Leadership. The incumbent will work alongside other IT administration, Finance, Human Resources, and technical and leadership staff to gather and transform data, conduct statistical analyses, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive improvement initiatives.
Duties and Responsibilities
- Develop and implement IT compliance procedures and controls for the Agency and ensure accordance with those standards.
- Work with Practice Technologies Bureau to respond to Litigation Hold requests and provide required information while ensuring completeness and accuracy of the data.
- Work with Agency FOIL Officer to develop search terms, collect and provide appropriate data in response to FOIL requests.
- Work with HR and Counsel on confidential matters containing potentially sensitive information.
- Develop data classification guidelines and apply them to data both on-premises and in agency owned cloud environments.
- Develop DLP rules and alerts and work with Security Operations team to monitor and respond to potential data loss incidents.
- Conduct compliance risk assessments on a regular basis to identify any gaps or areas of improvement.
- Perform the full range of supervisory responsibilities.
- Other duties as assigned.
Minimum Qualifications
Seven (7) years of experience in data visualization, and statistical models and data mining tools.
Substitutions:
- Associate's degree and five years of experience.
- Bachelor's degree and three years of experience.
- Master's degree and two years of experience.
- Ph.D. and one year of experience.
Preferred Qualifications
- Three years of experience as a data analyst, data scientist, BI analyst, or related profession.
- Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis.
- Proven experience with data analysis and visualization tools such as Power BI and Excel.
- Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics.
- Knowledge of data visualization best practices to effectively communicate insight.
- Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights.
- Familiarity with data modeling and data warehousing concepts.
- Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques.
- Excellent communication skills to convey complex data findings to both technical and business executives.
- Attention to detail and ability to maintain data accuracy and integrity.
- Experience with data automation and AI tools a plus.