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Data Analyst, Risk User Experience
Company | Stripe |
Address | Canada |
Employment type | FULL_TIME |
Salary | |
Category | Software Development,Technology, Information and Internet,Financial Services |
Expires | 2023-10-11 |
Posted at | 8 months ago |
Who we are
- Partner with leaders to effectively provide data insights and clearly communicate the context around the data.
- Partner with product managers, engineering and business partners to initiate and execute analytical projects, including scoping, identifying data source, constructing meaningful metrics and building pipelines and reports.
- Partner with other data scientists to run A/B experiments to improve our Risk products and improve user experience.
- Own the canonical data for risk user experience and can effectively convert this data into actionable insights.
- Work closely with business, engineering, and customer service partners to translate business requirements to data problems.
- Design, build and maintain data pipelines, metrics and dashboards to improve the availability and visibility of data and insights.
- Expertise in visualization and using data insights to make recommendations and achieve goals
- Strong statistical knowledge
- Bachelor’s degree in a quantitative field like Statistics, Economics, Science or Engineering
- 3+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
- Ability to clearly communicate results and drive impact. We bias towards actions at Stripe.
- Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
- Proficiency in SQL and Python
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
- Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
- Master’s degree in Mathematics, Statistics, Engineering, or a related technical field.
- Prior experience at a growth stage internet or software company.
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