Paul, Weiss, Rifkind, Wharton & Garrison LLP
New York, NY
Junior Data Analyst
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Apply to Junior Data Analyst at Paul, Weiss, Rifkind, Wharton & Garrison LLPJob details
- Location
- New York, NY
- Work type
- Hybrid
- Compensation
- $65,000 - $80,000/yr
- Visa
- Sponsorship available
- Posted
- yesterday
- Apply on
- paulweiss.taleo.net
About this role
Paul, Weiss, Rifkind, Wharton & Garrison LLP is seeking a Junior Data Analyst to support business decision-making through data collection, validation, analysis, and reporting. The role maintains reporting platforms, develops and enhances SSRS and Power BI reports and dashboards, manages access permissions, and collaborates on data quality issues.
What you'll do:
- Document report, dashboard, and project requirements, including specifications and Statements of Work (SOWs)
- Collect, validate, and analyze datasets used in reporting and business analysis initiatives
- Manage and optimize report and dashboard access by maintaining user permissions and security groups
- Contribute to the the development, enhancement, and maintenance of SSRS and Power BI reports and dashboards
- Develop proficiency in the programming language, databases, and data structures utilized by the firm
- Reconcile datasets used in numerous reporting and dashboards
- Develop an understanding of the firm's reporting tools, databases, data structures, and business processes
- Collaborate with team members to identify and resolve data quality issues
What they're looking for:
- ·Experience with Excel required
- ·Proficiency in Microsoft Excel, including pivot tables, lookups, and data analysis functions
- ·Strong analytical, problem-solving, and communication skills
- ·Ability to multitask and meet stringent deadlines
- ·Strong attention to detail and commitment to data accuracy
- ·Ability to work effectively in a team environment as well as taking ownership for individual assignments is required
- This is a hybrid role which requires in-office attendance in accordance with the schedule set forth by the department. A hybrid schedule is an essential function of this role
- ·Bachelor's degree in Finance, Information Systems, Data Analytics, Business, or a related field preferred
- ·Exposure to SQL and relational databases preferred
Benefits:
- Competitive compensation and benefits packages
- Hybrid role
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