Sr.Quantitative Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Quantitative Analyst in Austin, TX, with a contract length of 24 months. Pay is DOE. Requires a PhD/MS in relevant fields and 3+ years of quantitative research experience, including SQL, R, or Python proficiency.
🌎 - Country
United States
πŸ’± - Currency
Unknown
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
September 18, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Data Science #SQL (Structured Query Language) #Python #Data Engineering #Migration #R #Consulting #Visualization
Role description
Job ID:J37991 Job Title:Sr.Quantitative analyst Location:Austin, TX Duration:24 Months + Extension Hourly Rate:Depending on Experience (DOE) Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client:To Be Discussed Later Employment Type:W-2, 1099, C2C Position: Sr. Quantitative Analyst Location: Austin, TX Duration: Long Term Contract Type: Contract Job Description: Core Responsibilities Apply your expertise in people research, quantitative analysis, data science and data visualization to help grow, develop, and retain talent. See beyond the data to identify solutions that will raise the bar for all things people-related Collaborate with data engineering and HRIT to access and manipulate data, explain data gathering requirements, and display results Partner with the People Team COEs on people projects to identify and clarify critical people issues, deeply understand our people processes, and analyse data to drive improvements. Bring together data and outside research to help leaders understand people issues Communicate statistical analyses and results, along with implications, to technical and non-technical audiences Collaborate effectively with the business and cross-functional teams to understand business needs and challenges Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data Qualifications PhD with 2+ years of experience, or MS with 3+ years of experience in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behaviour, Labour Economics, Management, Policy Analysis) 3+ years of experience conducting quantitative people research in an organization or consulting environment, including working with stakeholders to understand and clarify their people research needs, and communicating analyses to technical and non-technical audiences. Experience managing and analysing structured and unstructured data using tools such as SQL, R or Python. Experience communicating technical results to technical and non-technical audiences. Experience developing tools, conducting empirical research, practical implementation, knowledge of best practices in at least two of the following areas: employee engagement, performance management, diversity, compensation (e.g., pay equity), or retention Experience conceiving, developing, running pilot tests, implementing, and continuously improving large-scale people processes Equal Opportunity Employer ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract