Business Analyst, Revenue Analytics

Job Summary Toptal is looking for a senior-level Business Analyst to provide business leaders with crucial insights and recommendations for improvement. This role is a key member of the Customer and Talent Analytics team. You will be assigned to support leaders across our Customer and Talent functions, with an initial focus on Talent Operations and its largest strategic initiatives. Are you passionate about using data to shape acquisition, retention, and segmentation strategies for both world-class clients and elite freelance talent? If so, we encourage you to apply This person will use data, create and define metrics, measure performance, and develop reports. They will also build models, forecast outcomes, run experiments, and perform in-depth diagnostic analysis. Ultimate success goes beyond data-related activities and delivers the “so what” that drives decisions and real business impact. It is imperative to fully understand the business function (processes, objectives, organization, performance drivers, barriers), and connect the dots between data analysis, business strategy, financial and operational effectiveness. We are looking for someone who is excited about seeing the bigger picture to make cross-functional connections in business processes, financial performance, and data. We expect that we not only answer the question asked, but also the question that was not. This Business Analyst needs to build positive relationships across the organization and have a “find a way” attitude. This is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English. Responsibilities The following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills. Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts; and extract insights from these data activities to inform business decisions. Utilize your financial analysis skills to assess and make recommendations that drive profitable business decisions. Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for business leaders. Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives. Map business processes to their corresponding data flows. Proactively identify and surface opportunities to improve efficiency, conversion, revenue generation, client and talent experience, operations, communication, systems & tools, cash usage, etc. Work closely with data analysts, data scientists, report developers, and business process owners to empower data-backed decision making. Develop and drive data-backed strategies for the full client and talent lifecycle. This includes modeling our talent acquisition funnel, building customer segmentation models, analyzing drivers of retention, and identifying opportunities for cross-functional process improvements. Qualifications and Job Requirements Bachelor’s degree is required. 5+ years of experience in data analysis, analytics, or business intelligence is required. 2+ years of experience within general consulting or an analytical operations function is required. Both a strong background in math, science, finance, engineering, or statistics and deep business insight is required; advanced degrees and/or MBA are a plus. Experience with BI tools (Tableau, Qlik, PowerBI, etc.). Proficiency in SQL; experience with R, Python, or MATLAB is a plus. Experience with exploratory data analysis, prototyping, testing hypotheses, performing root cause analyses, modeling business processes, building forecasts, creating predictive models, defining metrics, and/or measuring business performance. Track record of linking data and analytics to business strategy, financial performance, and operations to drive real impact. Proven experience developing analytical frameworks for strategic business problems, such as customer/user segmentation, lifetime value (LTV) modeling, churn analysis, or funnel conversion optimization. Working knowledge of probability and statistics, experience with process improvement is a plus. Ability to explain complex issues simply and intuitively, and willingness to challenge assumptions, communicate limitations, and flag blind spots. Outstanding written and verbal communication skills. Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts. You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do. Seniority level Mid-Senior level Employment type Full-time Job function Research, Analyst, and Information Technology Industries: Technology, Information and Internet #J-18808-Ljbffr