The Senior Data Operations Analyst executes and analyzes the processes of Statistical Operations, including sample maintenance, store characteristics update, expansion factors determination, and final review of the database.
Responsibilities include participation in daily stand-ups, sample meetings, and intermonth sample inspections.
The role involves sample maintenance and execution, maintenance on sample rotation oversample, and projection factors calculation.
The analyst is responsible for setting up data quality controls and reviewing parameters each year.
Additional tasks include universe updates and trend validation.
Requirements:
A B.S. or B.A. degree is required, preferably in a field such as statistics, mathematics, economics, or engineering with a statistical emphasis.
Intermediate English proficiency is necessary.
Candidates should have 0-1 years of quantitative analysis work experience.
Basic statistical knowledge in sampling design techniques is required.
Knowledge of statistical quality control techniques is also necessary.
A working knowledge of SQL and basic database structures is required.
Experience with statistical software such as R or Python is essential.
Proficiency in Microsoft software, including Excel (intermediate level), Word, and PowerPoint, is required.
Benefits:
The position offers a flexible working environment.
Employees are entitled to volunteer time off.
Access to LinkedIn Learning is provided for professional development.
An Employee Assistance Program (EAP) is available to support employee well-being.