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Minimum qualifications
- Bachelor's degree in a relevant field (e.g., Statistics, Data Science, Computer Science, or equivalent practical experience.)
- 3+ years of experience in data analysis, statistical modeling, or a related quantitative field.
- Experience querying and manipulating data using SQL or similar database query languages, extracting insights/ trends, & creating compelling presentations to influence product teams.
Preferred qualifications
Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable
- Experience working with statistical software packages (e.g., R, Python, SAS, Stata, MATLAB).
- Experience designing, implementing, and scaling data measurement programs for product or user experience outcomes.
- Experience with accessibility, inclusion, or user research related to users with disabilities or underrepresented groups.
- Experience in analyzing engineering metrics related to software or hardware products.
- Experience working in a fast-paced, agile product development environment.
- Highly collaborative and able to build strong relationships with cross-functional teams (e.g., engineering, product management, UX research, design).
- Excellent written and verbal communication skills, including the ability to present complex data insights clearly and concisely to diverse audiences (including senior leadership).
- Ability to work through ambiguity to develop creative solutions and drive initiatives to completion with minimal guidance.
Required Skills
Data Analysis, Statistical Analysis, Statistical Modeling, Dashboards, Reporting
Preferred Skills
Machine Learning, Data Visualization, Stakeholder Management
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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