替代专业:Statistics, Applied Math, Economics, Bus. Admin or a closely related field
可替代教育及经验组合:N
所需教育层级:
其他可替代教育层级:
认可经验年限:
境外教育背景:Y
可替代职业:Y
可替代职业时长（月）:24
可替代职业名称:Related
是否为正常职业要求:Y
是否需要外语:N
特殊技能:Experience must have included Performing statistical analysis and model development and selection applied to understand risk in the Financial Services and Financial Technology industries; Running data models to measure impact and derive data insights and financial modeling to include running cost, revenue, and companylevel metrics and KPI analysis; Presenting summarized recommendations to senior stakeholders; Distilling complex issues into structured frameworks and action plans; Project management including developing multiteam project plan, dependencies, and driving execution of projects; Facilitating vendor assessments and onboardings for required tools to streamline business operations and processes to include due diligence, contractual negotiations with third parties, and liaising with legal teams; Developing statistical models for data analytics using tools including SQL and Excel on various lead generations sources, including paid marketing, organic marketing, partnerships, outbound, and selfservice; Serving as thought partner for functional leaders; Developing and managing analytical environments to manage company performance and proactively address issues before they become a problem; Creating gotomarket operating models to include goals, performance tracking and teamlevel attribution of results, in order to set goals, ensure we meet our goals, and course correct if off track.br br br br br br br Continuation of PERM duties from H.11 due to character limits.br br Automating and streamlining existing data flow processes to enable better effort management and quality assurance. Designing and integrating the processes and tools that allow us to track progress against company goals while driving efficiencies across our gotomarket organization including creating gotomarket operating models to include goals, performance tracking and teamlevel attribution of results, in order to set goals, ensure we meet our goals, and course correct if off track. Managing revenue metrics to define and monitor company success, by providing ongoing reporting of interpreted data using advanced statistical techniques and methodologies. Owning and managing data logging in order to enable accurate and useful analytics. Applying expertise in statistical methods to define how we identify and prioritize marketing qualified leads. Performing analyses, working with teams and incorporating feedback to identify needs and incorporating into Middesks roadmap by presenting summarized recommendations to senior stakeholders. Understanding the client use cases to see where additional issues may exist that could require further data science solutions.