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Senior Data Analyst, Venmo Analytics
hace 2 meses
We are seeking an exceptional Senior Data Scientist for our Venmo Analytics team with a passion for data insights and relentless focus on execution:
- You are curious and inquisitive: love digging into data and uncovering insights
- You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
- You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
- You are a player-coach, and are not afraid of rolling up your sleeves and jumping into details
As a Senior Data Scientist, you will:
- Challenge the status quo, and drive data-backed decision making
- Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
- Identify key metrics, conduct rigorous explorative data analysis, create executive-facing dashboards, and build business cases that drive decision making and business prioritization
- Analyze consumer product performance and health, triage issues, and provide recommendations on the best course of solution and optimization
- Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
- Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
- Define and cultivate best practices in analytics instrumentation and experimentation
- Support multiple projects at the same time in a fast-paced, results-oriented environment
- Mentor junior analysts on complex analyses
To be successful in this role, you will need:
- At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- B.S. in a quantitative field, advanced degrees preferred
- Fluent in SQL and at least one scripting language such as Python or R, comfortable working with large, complex, and potentially messy datasets
- Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Strong interpersonal skills and experience leading cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
