People Analytics Data Science & Reporting Analyst
New York, NY, United States
PEOPLE ANALYTICS DATA SCIENCE & REPORTING ANALYST AT GLOBAL FINTECH FIRM
Base Salary is $115K to $175K (based upon candidate and experience)
Plus Year-end Bonus; and Excellent Benefits
Solidly established Global FinTech Firm is looking for an analytics savvy, data driven individual to join its Human Resources Analytics and Products Team as a People Analytics-Data Science & Reporting Analyst . In this role, you will be a curator of employee data and leverage it to help answer strategic and operational talent questions for leaders across the business.
We have returned to the office in a hybrid model based out of our NYC Headquarter Office where employees will be in the office Tuesdays through Thursdays, with the option to work from home on Mondays and Fridays.
Qualifications & Skills Bachelor's Degree or higher required
Zero to Three (0-3) years of Relevant Work Experience working in an Early Career Data Science, Data Engineering, or Business Intelligence Analyst setting
Proficiency in using Python for data retrieval/transformation and interactive dashboard design is required
Passion for data wrangling and an eye for applying data visualization best practices to high-quality reporting products
Willingness to dive into details, collaborate effectively with teammates, and drive projects to completion is of the utmost importance
Able to exercise extreme discretion with confidential information is also essential
Advanced working knowledge of Excel is also desired
Experience with business intelligence programs (e.g., Power BI, Tableau) is also desired
Dedicated customer service mentality, excellent interpersonal communication skills, an ability to see how small details impact the bigger picture is highly sought after
Knack for rapid problem solving is highly sought after
People analytics experience is preferred. but not required
Responsibilities Overview
You will help develop and build reporting solutions in new and existing tools to expand Human Resources Analytics Product's on-demand analytics portfolio and be responsible for building reports in a variety of tools (e.g., Python, Power BI). You will also have the opportunity to develop ETL pipelines, leadership-facing dashboards, and reporting products from the ground up.