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Key job responsibilities
Key job responsibilities
On top of undertaking initiative work to drive step-change improvements to our products, this individual’s day to day responsibilities, working closely with our single threaded teams (product, UX, data engineer, science, and engineering), would include:[Monitoring & Detection Mechanisms]
Work to understand business stakeholders’ requirements. Build, automate, and maintain reports that capture key performance indicators on both an initiative and ongoing basis. Integrate these metrics into the right recurring mechanisms to ensure prevention or rapid detection of issues. Eg. Defining precision / recall and shopping decision influence for a multi-service score and building the appropriate self-serve monitoring to help program managers dive segment level performance and identify opportunities for improvement.[Deep Dives & Structured Problem Solving]
- 3+ years of tax, finance or a related analytical field experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- - 3+ years of business analyst, data analyst or similar role experience
- - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- - Experience defining requirements and using data and metrics to draw business insights
- - Experience making business recommendations and influencing stakeholders
- - Bachelor's degree or equivalent
- - Experience with SQL
- - Thrives on ambiguity. Experience working independently and managing priorities efficiently to meet deadlines
- - Proven structured, analytical problem-solving skills in a complex space, attention to detail, and exceptional communication & organizational skills
- - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- - 3+ years of relevant experience in a business analyst, data analyst or statistical analysis; Experience in customer segmentation, customer behavior analysis, or conjoint/trade-off modeling
- - Prior experience in statistical modeling (eg. stepwise regressions or GLMs) or applied sciences (eg. NLPs, complex clustering problems, LLMs, sentiment modeling, etc)
- - Proficiency in 1+ programming language (Python, R, etc) and/or Advanced working knowledge of data mining using ETL, data warehouse
- - Experience using AWS analytical services (eg. Redshift, EMR, EDX, Sagemaker, Kinesis, Glue, S3)
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