• Strong SQL skills and visualization skills with a lot of attention to granular details in data
• Expertise in stitching together findings to convey coherent insights
• Ability to perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations and documents
• Ability to front end and interact with stakeholders
• Ability to cross pollinate ideas and leverage best practices from the industry
About You:
- You believe in data-driven decisions and use data to answer business questions
- You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
- 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 energized, fun-loving and an adventurous team player
The Role:
- Partner closely with Product Managers 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 merchant product performance and health, triage issues, and provide recommendation on the best course solution and optimization.
- Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
- Guide and mentor group of team members on day-to-day delivery
- Define and cultivate best practices in analytics instrumentation and experimentation
- Support multiple projects at the same time in a fast-paced, results-oriented environment
- Provide strategic and tactical guidance on specific data elements that need to be tracked to enable tracking of metrics and assess user behavior
- Collaborate with data platform teams to build/enhance necessary data platforms to provide metrics & business insights and build alerts to monitor those metrics.
Requirements:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- Data driven mindset with aBachelor’s/Master’sdegree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Fluent in SQL, Excel, and visualization tools such as Tableau or Qlikview; experience with a statistical programming language like R or Python preferred
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$96900 to $234300
Our Benefits:
Any general requests for consideration of your skills, please
to view the notice.