
Senior Business Analytics Specialist
22 hours ago
Key Roles:
- The ideal candidate will apply technical expertise with quantitative analysis, experimentation and presentation of data to support the development of strategies for our products.
- Hypothesis validation – generate test hypotheses, validate opportunities and recommend actions that can have positive improvements in customer experience and business KPIs.
- Test Analysis – Drive proper A/B analysis with statistical rigor and perform cohort studies to answer 'why?' on test result drivers.
- Develop automated data workflows and dashboards to monitor ongoing test performance/results.
- Utilize relevant visualization tools to track metrics and investigate data anomalies.
- Dive into technical and operational details of the business and contribute to constructive technical discussions.
- Explore and test more technically/computationally efficient solutions.
Requirements:
- A wealth of experience using querying language (e.g., SQL) and scripting language (Python).
- Understanding of A/B tests and its statistical concepts, including Bayesian statistics.
- Comprehensive understanding of distributed systems, data modeling, and scientific methods.
- Good presentation and communication skills explaining data.
- An inquisitive mindset- ready to dive into the unknown, discover and share findings with others.
Bonus Points:
- Familiarity with data visualization tools such as Tableau or Power BI.
- Experience working with big data technologies like Hadoop or Spark.
- Knowledge of cloud-based services like AWS or Azure.
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