What are the responsibilities and job description for the Remote Data Analyst position at Recruit Monitor?
About the job Remote Data Analyst
This position plays a supporting role in the modernization and transformation of the Annuity / Retirement Plan Services Valuation & Modeling team with new technology solutions. You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position provides a broad range of experiences and responsibilities, allowing for growth. What you'll be doing :
- Supports and promotes change management and / or departmental / enterprise initiatives within assigned area(s) of responsibility.
- Maintains knowledge on current and emerging developments / trends for assigned area(s) of responsibility.
- Performs and delivers on routine assignments / projects for their assigned area(s) of responsibility.
- Exports information from various applications / databases and uses analytical tools (i.e. SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and infographics.
- Performs routine data mining, validation, and reconciliation of data across various applications.
- Identifies and analyzes variances, and trends; researches inconsistencies / anomalies in the data and presents findings to management.
- Develops creative charts, graphs and other visual aids in support of identifying trends to quantify performance of the business segment and to support decision making.
- Performs what-if analysis in support of creating proposals for change and process improvement.
- Develops queries and prepares data for diagnostic and predictive analytics.
- Develops basic ad-hoc reports supporting projects and analysis.
- Supports team members and / or management in developing basic recommendations to solve problem and issues related to identified trends and data insights.
- Develops an understanding of best practices and suggests how to improve current practices
What we're looking for : Must haves :
Nice-to-haves :
Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark
