- February 17, 2022
- Business Analyst, San Francisco Bay Area, CA
2704 Senior Business Insights Analyst
Description:
You have demonstrated in-depth knowledge and expertise in solving complex problems via data; take a new perspective on existing solutions; exercise judgement based on the analysis of multiple sources of information and structures key trade-off decisions
You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish causal relationships
You build and interpret algorithms that power data products
You work independently with minimal supervision; act as a resource for colleagues with less experience
You are a storyteller who uses data and insights to frame narratives to bring others along the journey.
You have a strong sense of urgency for and commitment to the Company’s mission of belonging
Skills:
In this role you’ll get to
Use a combination of data engineering, science and analytics skills to build the business insights platform across Trust Policy & Programs org (backend automation to frontend insights, ranging from minor analysis to complex user behavior models).
Perform data modeling of the various entities involved in the Company’s Trust like customers, hosts, cases, agents etc. using modern data modeling tools and frameworks
Devise business metric frameworks and optimization models to make optimal business decisions while minimizing risk
Blend external and internal data insights to identify customer pain points and behavior in the context of trust
Influence data-driven decisions cross global sites and business verticals in day-to-day via business reviews, self-serve portal, planning scorecards, and impact analyses among others
Experiment with new policy / product features to deter and mitigate risk
Conduct deep-dive data science-based analysis into various operational problem areas like policy incubation, enforcement efficacy, prevalence, efficiency, agent tooling, agent staffing & optimization, and agent quality & efficiency to identify and solve for operational bottlenecks
Build machine learning models to optimize the effectiveness of manual review by agents, and to detect, prevent & mitigate high risk activities and fraud on the Company
We are looking for people who have:
Extensive experience in data science with an emphasis on operations scalability and optimization; and on measuring and optimizing for customer satisfaction and safety for a digital product
Strong data analytics experience with an emphasis on development of business facing metrics and on solving for business decision making
Demonstrated ability to create and drive technical and impactful roadmaps for the business, and seamlessly execute against them
Proven ability to tailor your solutions to business problems in a cross functional team, with the ability to communicate clearly and effectively with cross functional partners of varying technical levels
Have a positive and solution-oriented mindset; leads by example
Ability to partner across global, matrixed, and cross-functional teams
Exceptional presentation, written, and oral communication skills
Education:
Advanced degree in Computer Science or other quantitative field with 7+ years industry experience in driving full stack data projects from inception to business impact
SQL expertise + advanced programming skills (Python preferred), and deep experience in data engineering & data modeling (Hive, Presto, Spark preferred)
A deep understanding of modern machine learning techniques and their mathematical underpinning, such as classification, clustering, optimization, deep neural network and natural language processing
Experience productionizing real-time machine learning models
PLEASE NOTE: Our client has mandated COVID-19 vaccination for their workforce, all external personnel providing services to our client are required to comply with this requirement.