About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Looking for a Risk Analyst, Seller Risk Management who can use complex data to help our leaders and cross-functional teams make informed decisions, measure success, and influence policy to protect the integrity of the marketplace. You will be responsible for building out a holistic view of seller risk performance, identifying potential risks and supporting controls by leveraging analytics insights and tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.). Some of the key focus areas are onboarding and vetting risk strategies, design and measurement of risk controls that support seller growth while protecting buyers from bad actors. This is a highly visible role as you will be partnering with senior leaders (Directors/Sr Directors) on business and product teams to define and measure the success of Marketplace business. You will make an impact by: · Contributing to a high-performance culture delivering multiple projects, priorities in a fast-paced and growing segment of ecommerce business · Contributing to the development of strategy for reporting, testing, analyzing, and forecasting business and risk performance for Marketplace (3rd Party Sellers) segment · Identify and provide both tactical ad hoc insights and a strategic ongoing roadmap of deep analytics to inform seller risk management performance and polices · Delivering key data-driven business insights, working with cross-functional partners to translate risk insights into business / product strategy · Working with the Product Management team to find gaps in current products, potential risk controls, gathering requirements, creating data moratoriums, and designing state-of-the-art data products for helping business users. · Collaborate on roadmaps with the Product, Data Science, and other Analytics teams to understand growth and risk factors of new and future product releases. · Defining how teams measure success by developing user/business metrics · Working effectively with our Business, Product, Technology, and Data teams to understand our strategy and operating model and translate that into the right analytic approaches, data requirements and data models · Designing and conducting A/B and multi-variate tests by developing test plans, defining success metrics, analyzing, and transforming data into actionable insights · Operating with agility while effectively leveraging corporate structure to achieve goals · Gaining support from the broader enterprise by engaging with cross-functional teams, leadership, and key stakeholders · Automating data and analytic solutions at scale You’ll sweep us off our feet if… · You have experience with commerce platforms, acquiring and seller risk management · You are a storyteller using data · You have experience solving new problems – digging in and finding answers · You operate with customer centricity at the forefront · You have experience working in multiple business areas / functions / segments · You have a strong understanding of statistics with applied experience on analyzing large data sets · You can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy · You have sound knowledge of managing data for experiments (sampling, labelling, EDA, etc.) · You have strong skills in Python, R, SQL, and Hive queries · You have experience transforming/automating data within cloud architectures (ie. Google Cloud Platform) · You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker · You can work effectively with internal stakeholders, including data scientists and data engineers · You are curious, proactive, and comfortable working in unstructured environments · You have experience driving understanding of customers and their interaction with products, through in-depth analyses of user behavior and engagement · You have a passion for working in a fast-paced agile environment Qualifications: · BA/BS in Business, Marketing, Mathematics, Statistics, or related field (or equivalent experience) · 4+ years of experience in data analysis or an analytical capacity in risk management · Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter Preferred Qualifications: · BA or Master’s Degree in Mathematics, Statistics or a related technical field · Background in Marketplace Analytics, Retail and/or eCommerce Analytics · Retail and/or eCommerce industry experience in a heavily data-driven environment · Risk management and application of analytics