Applied Data Analyst – Data Quality Analytics

Role Overview

We are looking for a Product Analyst in Enterprise Data to ensure data quality for product development, launch, and enhancement. You will conduct data analysis, anomaly detection, and exploratory data analysis to identify product weaknesses and propose enhancements.

What You Will Do

Conduct time series data anomaly detection, prepare exploratory data analysis, communicate results to product managers and software developers, collaborate with product, engineering, and sales teams, and conduct product usage analysis.

Why It Might Be a Fit

You will need to have 3+ years of experience working with model development for time series data anomaly detection, a Bachelor’s or Master’s degree in a quantitative discipline, and hands-on experience in analytical fields such as data science and data visualization.

Requirements

• 3+ years of experience working with model development for time series data anomaly detection
• Bachelor’s or Master’s degree in quantitative discipline
• Hands on experience in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation
• Financial knowledge in different asset classes like equity, fixed income, mortgages, muni, futures, options
• Programming skills in Python and SQL
• Statistics and mathematical knowledge to perform quantitative analysis
• Experience gathering, matching, and pre-processing large data sets from varied sources and of different characteristics

Benefits

• Benefits
• Bonus
• Paid holidays
• Paid time off
• Medical
• Dental
• Vision
• Short and long term disability benefits
• 401(k) + match
• Life insurance
• Wellness programs

Tagged as: Data Analysis