Data Researcher

Innisfree • New York, NY

6h • $90,000 - $130,000 • Hybrid

About The Position

As a Data Researcher, you’ll work closely with Innisfree’s various datasets to help maintain quality, improve efficiency, and identify areas of opportunity. You’ll become a subject matter expert on the internal data structure and data flows, work with data vendors to maintain current relationships, and support the different teams at Innisfree with their data-related requests.

At Innisfree, we deliver high-quality results for our clients while maintaining staff work/life balance and personal connections with colleagues. While the majority of work is done remotely, this is a hybrid position which will require on-site presence, in-person training, and collaboration with other team members on a regular basis. In addition, employees may be asked to attend client meetings, in-person team building exercises, and firm gatherings.

Requirements

• Bachelor’s degree or equivalent in Finance, Statistics, Computer Science or related field
• Ability to analyze large, complex and dynamic data sets
• Understanding of the stock market, financial instruments and the investment process
• Understanding of stock valuation methods
• Experience working with SQL Server, or other relational databases
• Intermediary knowledge of the SQL language
• Ability to manage multiple projects and multiple project team requests
• Strong organizational and time management skills
• Attention to detail
• Self-direction and initiative
• Strong written and oral business communications skills
• Ability to work as a collaborative team member
• Technical analysis
• Advanced-level MS Office skills, including PowerPoint and Excel
• U.S. employment authorization without current or future need for sponsorship

Nice To Haves

• Experience using languages such as C#, VBA, or Python
• Related internship, industry or academic experience
• Experience working with financial data from sources such as Bloomberg and FactSet

Responsibilities

• Develop a deep understanding of expected data behavior across different time periods, data transformations, and application views
• Proactively identify and resolve data discrepancies and data drift issues
• Validate outputs of SQL stored procedures and queries to ensure data accuracy and consistency
• Verify solutions and fixes in a QA environment prior to production releases
• Interface with both internal and external software developers to clarify requirements and validate new features and document findings

Benefits

• Highly competitive compensation
• Mentorship and support
• Variety in your workday
• Chance to make a direct impact
• Respectful workplace
• A team that cares about your development and well-being
• Top-flight benefits, including 100% employer-paid medical/dental/disability/life insurance, generous time off, paid parental leave and 401(k) plan with profit-sharing

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level