Assist in managing and executing critical executive-level data analysis to drive informed decision-making processes, providing valuable insights to support strategic initiatives
Develop and maintain templated Excel models to facilitate financial forecasting and tracking, enabling effective monitoring of key performance indicators and financial targets
Utilize advanced analytical techniques to extract insights from raw data, automating business processes where possible to enhance operational efficiency and effectiveness
Collaborate closely with sales managers and teams to ensure data-driven decision-making processes are implemented, leveraging analytics to optimize strategies and drive performance
Apply expertise in business processes to identify areas for improvement and propose strategic changes aimed at enhancing organizational effectiveness, contributing to continuous improvement efforts
Conduct comprehensive analysis and prepare reports for leadership, highlighting key business trends related to conversions, sales efforts, and other relevant metrics, with a focus on providing actionable insights
Utilize quantitative analysis and data presentation skills to uncover insights beyond surface-level numbers, providing valuable understanding of user interactions with products and marketing initiatives
Contribute to overseeing the performance management of sales teams, providing data-driven insights and recommendations to enhance productivity and achievement of targets
Act as a strategic thought partner, collaborating with cross-functional teams to drive sustainable business growth through informed decision-making based on data insights
About You:
Possess 3-7 years of experience in data analysis, with a focus on delivering impactful insights and driving data-driven decision-making processes
Demonstrate a strong interest in personal and professional growth, with a proactive approach to assuming increased responsibilities and contributing to strategic initiatives
Strong proficiency in Excel is preferred, with experience in developing complex models and templates to support financial forecasting and reporting
Possess a solid analytical background with proficiency in data manipulation and analysis, including the use of tools such as SQL queries and Looker dashboards, or a willingness to learn these technologies for rapid iteration
Previous experience in startup environments is highly desirable, showcasing adaptability and resilience in fast-paced settings
Proficiency in programming languages such as Python is preferred, enhancing capabilities for data analysis and automation
Prior experience in finance or mortgage-related domains is advantageous, offering insights into industry-specific challenges and opportunities
Capable of managing multiple projects simultaneously, demonstrating strong organizational and prioritization skills
Hold a degree in marketing, finance, statistics, or a related analytical discipline, providing a solid foundation for data-driven decision-making
Possess exceptional attention to detail, balancing strategic vision with meticulous execution to drive tangible outcomes