Base: $68,000 - $80,000; bonus/equity: not specifi...
Hybrid
Data tidying, visualization, analysis, statistics
Access and compile large volumes of data
Ensure data quality by qaing
The Senior Associate will be part of a cross-functional team, specifically focused on transforming raw data into insights and recommendations to drive impact for our clients
Job Summary
The Senior Associate will be part of a cross-functional team, specifically focused on transforming raw data into insights and recommendations to drive impact for our clients.
Job responsibilities include data management, data analysis and presentation, and developing automation via scripts, macros or efficiency models to streamline repetitive tasks.
Benefits available with this position include medical, vision, and dental insurance, life insurance, short-term and long-term disability insurance, 401k, flexible paid time off, at least 15 paid holidays per year, paid sick and safe leave, and paid parental leave.
Matching Summary
The Senior Associate will be part of a cross-functional team, specifically focused on transforming raw data into insights and recommendations to drive impact for our clients.
Salary
Base: $68,000 - $80,000; Bonus/Equity: Not specified; Benefits: Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, Paid parental leave
Skills & Requirements
Must-have
Data tidying, visualization, analysis, statistics
Access and compile large volumes of data
Ensure data quality by QAing
Understanding of ETL process
Interpret data and analyze results
Produce visuals and presentations
Develop automation via scripts
Nice-to-have
Proactive self-starter
Innate interest in all things data
Ability to handle multiple assignments
Excellent problem solving skills
High attention to detail
Strong interpersonal skills
Key Requirements
1+ years in a quantitative business environment
Experience in marketing or media analytics
Experience in data visualization
Experience in SQL or Python
Bachelor's degree in Statistics, Economics, Data Science or related quantitative field