Data Scientist - Business Analytics

Key Skills

Business Analytics, C Programming, C++, Chartio, Cloud computing, Data science techniques, Data Visualization, Java Programming, Looker, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, Statistical modeling, Tableau, TensorFlow

Job Description

About The Role:

At WePay, our goal is to create a data-driven culture and to enable fact-based decision making. Business Analytics is tasked with helping the company achieve this vision by providing data and driving the adoption of analytics insights in everything we do. We are looking for a Data Scientist to join us on this journey and help take our analytics capability to the next level. In this role, you will be responsible for identifying key metrics and conducting in-depth analyses to guide business and inform strategy decisions. You will work with cross-functional teams including Product, Sales, Marketing, Account Management and Risk to help upsell and cross-sell WePay products and to help improve our partners and merchants’ experience. The right individual will know how to frame a business issue and design the right analysis to find the answers, fluent in using SQL, python and other big data techniques, and adept at developing insights and building narratives to support key initiatives. *Please use a personal email such as gmail, yahoo, etc when applying to the role.

What You Will Do:

• Collaborate with various internal teams and stakeholders across the company to develop insights and analytics solutions for both internal and external clients.
• Leveraging SQL, conduct in-depth analyses and build statistical models to identify trends and key drivers that inform important decisions in product, sales, risk and operations.
• Build data visualization by leveraging existing tools or developing new ones, as well as providing ongoing enhancements to business dashboards.
• Implement processes and build tools to make data access, extraction and analysis more efficient.
• Build and grow relationships with internal teams to proactively identify business needs and address them using analytics.

What We Are Looking For:

• 2+ years experience doing quantitative data analysis, ideally in online payments industry
• Advanced SQL skills, and experience with statistical software package(s) and/or a programming language such as R or python.
• Experienced with Looker, Tableau, Chartio, or other data visualization and BI tools.
• Strong attention to details and organizational skills.
• Comfortable handling sometimes ambiguously-defined problems, developing creative solutions and delivering against tight timelines.
• Excellent communication and presentation skills, and proven ability to translate data into actionable insights.
• A team player that collaborates well across cross functional teams to drive towards a common goal.
• B. S. or M.S. in a quantitative field, such as Statistics, Applied Mathematics, Engineering, and Computer Science or equivalent skills/industry experience.

Please note we are only considering individuals open to working from our Plano, TX or Palo Alto, CA office in a hybrid model (2-3x a week) for this position.