Rayden Interactive Hiring Drive 2024: Rayden Interactive Hiring Drive 2024 for its Data Operations Analyst. Rayden Interactive Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelors in Engineering, Math, or Science. if you are interested, please apply as soon as possible.
Company Name: Rayden Interactive
Role: Data Operations Analyst
Location: Remote
Experience: 1-3 years
Qualification: Bachelors in Engineering, Math, or Science
Batch: Any
Job Type: Full Time
Salary: 10 K+
Rayden Interactive Hiring Drive 2024
Job Description:
- As a Data Operations Analyst, you will be working with the Analytics & Product teams to execute on various analytics and operational deliverables, demonstrating value for Phreesia clients (ranging from small practices to some of the largest health systems in the U.S.)
- We are looking for someone who is detail oriented, excels at taking data and transforming it into analysis, and has experience using Excel, PowerPoint, SQL, and online dashboards
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Requirements:
- Extensive experience with Microsoft Excel and PowerPoint
- Basic knowledge of statistics, statistical methodology, and trends
- Basic to intermediate experience with SQL Server
- Comfortable with very large Excel files and complex formulas (nested if statements, index match, sums of sumifs and countifs across multiple Excel tabs with hundreds of columns and 100,000 rows)- Ability to QA analysis results and identify errors
- Strong attention to detail
- Bachelors in Engineering, Math, or Science
- Experience in Healthcare is preferred, not required
Responsibility:
- Own the prioritization and triage of ad-hoc queue requests for our Data Services team
- Working with our Customer Solutions team and customers to setup data extract functionality
- Create in-depth knowledge of our reporting products and answer any inbound questions pertaining to said report, updating reporting documentation
- Maintain Power BI reports and ensure that end users are receiving value from them
- Input data into standardized analyses
- Understand how analytics and Customer Solutions teams use existing data to build data sets and conduct analysis
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