What are the responsibilities and job description for the Data Operations Analyst, Admissions & Marketing position at TBWA\Chiat\Day?
Data Operations Analyst, Admissions & Marketing New York, New York, United StatesAbout Campus Campus is a technology-driven company dedicated to accelerating the talent of tomorrow. We empower students to find their purpose, help them build a plan and support them as they achieve their goals through affordable, world-class education provided by professors from prestigious institutions such as Princeton, NYU, UCLA, and Spelman.About the TeamOn the Data Operations team our goal is to positively impact lead quality, student admissions, and marketing performance, ensuring that Campus attracts and enrolls students efficiently using data-driven insights.About the RoleWe are seeking a Data Operations Analyst, Admissions & Marketing . The role will be at the intersection of data operations and student acquisition, playing a key role in optimizing enrollment strategies, forecasting trends, and improving marketing effectiveness.You’re excited about this opportunity because you will…Develop data solutions that streamline admissions workflows and improve enrollment efficiencyOversee lead tracking, application processes, and enrollment conversion optimizationAnalyze admissions and marketing performance metrics to identify trends and inform decision-makingBuild data visualizations and dashboards to support sales and marketing leadership in tracking KPIsProvide actionable insights on lead quality, student acquisition, and marketing campaign effectivenessCreate, maintain, and optimize enrollment forecasting models to predict student demandUtilize statistical analysis to refine marketing spend allocation and admissions strategiesPartner with the Marketing and Admissions teams to enhance the student enrollment experienceTrain teams on best practices for data tools and analytics to improve efficiency and decision-makingStay ahead of trends in educational technology, marketing analytics, and admissions forecastingIdentify and implement new tools and methodologies to advance Campus’s data capabilitiesWe’re excited about you because…You have 2-4 years of experience in a technology-driven role within sales, admissions, marketing, or a related field, with a proven track record in data analytics, CRM management, or marketing technologyYou are proficient in data analysis tools (e.g., SQL, Excel, Looker, Tableau, Power BI) and statistical analysis tools to solve complex problemsYou possess outstanding communication skills, capable of effectively articulating complex technical concepts and strategies to diverse audiences, including non-technical team membersYou have strong analytical and problem-solving skills, with a demonstrated ability to tackle complex issues, develop solutions, and drive critical initiatives forwardYou are agile and adaptable, able to swiftly navigate changes and lead teams through evolving educational landscapes and technological advancementsYou are committed to personal and professional growth, constantly seeking new knowledge and staying abreast of the latest trends in educational technologyYou are innovative and creative in approach, using data-driven methods to develop and implement scalable, efficient solutions that enhance student acquisition and engagementYou are skilled in applying systematic and quantitative methods to analyze and improve workflows, tools, and processes, ensuring robust and sustainable tech integrationsWhat you’ll getA compensation package that includes a base salary ($90,000 - $100,000) equity grantMedical Insurance free Dental and Vision Insurance401(k) match“Take what you need” PTO several paid holidaysIn-office lunches for our NY Office (did we mention, we’re dog friendly?)Flexible working hours & a hybrid work schedule (Mon & Fri remote; Tues-Thurs in-office)Social events - happy hours, birthday celebrations, holiday parties, & moreOpportunity to make an impact – you’ll be an integral player in bringing our vision to lifeApply for this job
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Salary : $90,000 - $100,000