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.
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:
oA strong grasp of valid statistical methods
oApplied expertise in statistical techniques, concepts and algorithms (regression, predictive analytics modeling, statistical tests, etc.)
oComfort making and documenting reasonable assumptions when conditions are uncertain or not fully defined
oExperience designing and working with data architectures
oExperience integrating data cleanly from multiple systems and 3rd party sources
oTactical understanding of the intersection of data with on-the-ground business operations
Familiar with the following software/tools/languages:
oFluent with statistical computer languages (SQL, Python, R, etc.)
oExperienced in querying databases and manipulating data to draw insights from large data sets
oExpert in Tableau with experience creating data visualizations and exportable dashboards
oExpert at business analytics using Microsoft Excel and Microsoft Access
oFamiliarity with ETL processes and using data warehouse processes and web services such as AWS Redshift, S3, etc
oFamiliarity with sales and marketing software and automation systems or digital advertising platforms a plus (Salesforce, Pardot, Google Adwords, Google Analytics, etc)
oAbility to operate in an agile, fast-paced environment with a sense of urgency
oPositive energy, responsive attitude
oStrong problem-solving skills
oExcellent written and verbal communication skills for coordinating across teams and with developers
oExcellent collaboration and communication ability
oThorough, end-to-end execution ability
oAbility to work quickly
oA 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
No Grade - Hourly
Pay Rate Type:
Number of Openings:
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