Statistical Assistant (Data Analyst) - AA

Job Description and Required Services:

• Assist the Division(s) in data governance processes, including data quality, data cataloguing, and other data governance activities.
• Coordinate with data governance stakeholders, collect status updates, and prepare status reports and presentations as needed.
• Closely collaborate with data governance stakeholders across to progress assigned projects/initiatives.
• Conduct data analysis on data and related processes, prepare data definition and document its usage, prepare business requirements.
• Develop documentation including reference guides, how-to(s), summaries, reports, meeting minutes, guideline and policy documentation, etc.
• Contribute to data governance forum(s), facilitate project meetings and other collaboration forums.
• Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries.
• Work with complex data sets to understand problems and recommend solutions and procedures while using various analytical and statistical approaches.
• Use technical expertise to automate manual processes and reporting.
• Collaborate with business users and business analysts to develop analytical strategies for implementation in various projects.
• Other duties as assigned. In addition, the candidate must possess the following abilities:
• Data analysis.
• Data visualization.
• High-level competency in Excel (e.g., advanced formulas, macros, etc.).
• Expertise in relational database management systems, SQL, data modeling.
• Experience in data platforms for data quality and data cataloguing/metadata management, such as Informatica, Collibra, Alation, etc.
• Experience in modern cloud technologies such as Salesforce, Snowflake, etc.
• Develop metrics, reports, and presentations.
• Ability to translate complex business requirements to technical specifications.
• Highly motivated and effective working autonomously and as part of cross-functional teams.
• Ability to multi-task across projects while maintaining a high-quality work product.