BUSINESS DATA ANALYST
Title: Business Data Analyst
Location: Remote
Employment Type: Part-time, Contract
Reports to: Managing Director
Work Schedule: 5-10 hours per month; must be available to correspond via email and text during regular business hours, Central Time, with the occasional meeting during that time
Hourly Rate: Commensurate with experience
Start Date: Open
About MF Digital Marketing
MF Digital Marketing was founded in 2013 with a sole focus on specializing in growing enrollment for graduate programs in law and business. Graduate admissions is an art, and MF Digital recognizes this. We established valuable relationships with internal marketing teams, assistant and associate deans, enrollment specialists, and admissions officers to drive enrollment. We are successful because of our open, collaborative spirit, rigorously analytical approach, command of the latest search marketing tactics, and leveraging powerful technologies in demand generation and demand nurture. In an industry of complex technologies and evolving platforms, we are at the forefront of delivering campaigns that produce results.
We also know a company’s culture is as important as our work. At MF Digital, we value working alongside people who share our passions! Our team is motivated by higher education, collaboration, excelling at your work, meeting deadlines, and delivering exceptional results. As we grow, we have remote contract opportunities and allow you to do your best work to contribute meaningfully to our ongoing success!
About the Role
MF Digital recently undertook an ambitious data project to help us analyze our demand generation and demand nurture campaigns over the last ten years. Using a suite of managed products within Amazon Web Services (including RedShift, S3, and Sagemaker), our team migrated data, identified initial patterns, and built basic reporting on the results. Now we seek a skilled consultant to take this client data analysis to the next level through artificial intelligence (AI) and machine learning (ML). We also seek to gain additional business intelligence (BI) insights by implementing Amazon Q for our reporting dashboards.
What You Will Do
- Develop a structured, iterative approach to extract, analyze, validate, and communicate data-driven insights.
Implement a clean data strategy to ensure data is accurate, complete, consistent, unique, and uniform. This includes scrubbing, validation, and removing irrelevant data.
Create data parity and quality checks using AWS services such as Glue and S3
Develop and execute AI-based strategic projects and models to support business goals and objectives
Develop an AI-assisted tool for non-technical employees to build ad-hoc reports. Expertise in Amazon Q is preferred
Conduct regular testing, maintenance, and updates of AI applications and systems, ensuring maximum availability and optimal performance
What You Will Bring
- 7+ years of experience working in a data analytics role
- Excellent working knowledge of Amazon Web Services (AWS) products, focusing on AI/ML tools such as Sagemaker and Amazon Q
- Strong computer science skills, especially in languages such as Python, Java, Scala, and/or C++
- Experience with requirement gathering and process documentation
- Proficient in crafting and implementing custom APIs
- Knowledge of artificial intelligence, data science methods, and big data technologies
- Familiarity – or a willingness to learn about – digital marketing tools and tactics, including demand generation and demand nurture
- Excellent and timely communication skills, with the ability to translate complex data concepts to non-technical teams
- Ability to manage multiple projects while maintaining sharp attention to detail
- Creative approaches to identifying and resolving problems and challenges
- Willingness to take initiative and ability to prioritize and manage your workload
As MF Digital grows, we have multiple opportunities that allow you to do your best work and contribute meaningfully to our ongoing success. We would like to review your CV if you are interested and qualified. Email hr@mfdigi.com with the subject line “Business Data Analyst.” No phone calls, please.
READY TO INCREASE