Ithaca, New York

As Cornell University's online learning unit, eCornell delivers online professional certificate courses to individuals and organizations around the world. Courses are personally developed by Cornell faculty with expertise in a wide range of topics, including data analytics, management, marketing, human resources, leadership, and STEM. Students learn in an interactive, small cohort format to gain skills they can immediately apply in their organizations, while earning a professional certificate from Cornell University. eCornell has offered online learning courses and certificate programs for 15 years to over 130,000 students at more than 2,000 companies. Want to join a high performance marketing team at one of today's fastest-growing online education providers? eCornell, Cornell University's online learning unit, is seeking a Temp Marketing Data Analyst who will play a key role supporting our sales and marketing function by analyzing data from multiple systems and sources to answer key operational questions. *This is a part-time, non-benefits eligible, position for up to 6 months. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms that can help stakeholders discover insights and optimize business outcomes is critical for the role. An outstanding ability to build, and operationalize BI tools, pull and analyze data, and create meaningful reports to drive informed, effective decisions is required. The ideal candidate will be fluent in using statistical coding languages such as Python, R and SQL to query large datasets from a data warehouse and create meaningful visualizations in BI tools such as Tableau. Experience in marketing is helpful but not required. This is a great opportunity to gain exposure to business operations in a rapidly expanding organization. Key Responsibilities Partner closely with stakeholders to leverage data to drive business optimization and decision-making, effectively communicating insights and recommendations. Develop BI tools and analyses to monitor and analyze marketing and sales operations and performance on an ongoing basis. Create meaningful visualizations in BI tools such as Tableau to optimize reporting on data. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to drive operational decisions in media spend allocation and staffing to optimize business outcomes. Contribute to data architecture planning. Clean/scrub data to ensure meaningful reporting. Migrate existing Business Intelligence dashboards and tools to a new data warehouse stack. Articulate key insights from data analysis. What we need: Bachelor's Degree in Computer Science, Statistics, Math, Engineering or other quantitative field or equivalent combination of education and experience. 5-10 years of experience manipulating data sets and building statistical models, demonstrating: o A strong grasp of valid statistical methods o Applied expertise in statistical techniques, concepts and algorithms (regression, predictive analytics modeling, statistical tests, etc.) o Comfort making and documenting reasonable assumptions when conditions are uncertain or not fully defined o Experience designing and working with data architectures o Experience integrating data cleanly from multiple systems and 3rd party sources o Tactical understanding of the intersection of data with on-the-ground business operations Familiar with the following software/tools/languages: o Fluent with statistical computer languages (SQL, Python, R, etc.) o Experienced in querying databases and manipulating data to draw insights from large data sets o Expert in Tableau with experience creating data visualizations and exportable dashboards o Expert at business analytics using Microsoft Excel and Microsoft Access o Familiarity with ETL processes and using data warehouse processes and web services such as AWS Redshift, S3, etc o Familiarity with sales and marketing software and automation systems or digital advertising platforms a plus (Salesforce, Pardot, Google Adwords, Google Analytics, etc) Additional Skills o Ability to operate in an agile, fast-paced environment with a sense of urgency o Positive energy, responsive attitude o Strong problem-solving skills o Excellent written and verbal communication skills for coordinating across teams and with developers o Excellent collaboration and communication ability o Thorough, end-to-end execution ability o Ability to work quickly o A drive to learn and master new technologies and techniques What we prefer: Advanced degree in Computer Science, Statistics, Math, Engineering or other quantitative field Experience providing analytics support to marketing teams. No visa sponsorship is available for this position. University Job Title: Temp Serv Prof Level: No Grade - Hourly Pay Rate Type: Hourly Company: Contact Name: Carol Graubard Number of Openings: 1 Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines : Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by "dragging and dropping" them into the dropbox or by using the "upload" icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Department of Inclusion and Workforce Diversity at voice (607) 255-3976, fax (607) 255-7481, or email at owdi@cornell.edu . For general questions about the position or the application process, please contact the Recruiter listed in the job posting. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also visit the office of Workforce Recruitment and Retention Monday - Friday between the hours of 8:30 a.m. - 4:30 p.m. to use a dedicated workstation to complete an online application. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations. Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose, and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. 2020-09-10-07:00

Ithaca, New York

The Higher Education Recruitment Consortium (HERC) is a national nonprofit network of higher education and affiliated employers, committed to institutional collaboration, creating diverse workplaces, and assisting dual career couples. Searching for a job in higher ed? Our job board hosts over 30,000 faculty and staff jobs at workplaces that value diversity, equity, and inclusion. Set up your job seeker account today at: http://www.hercjobs.org For our member institutions, we offer recruitment and retention resources, vibrant regional networks, and a new online community of practice, HERConnect. All of our resources can help you advance inclusive excellence at your institution.