Meet Sarah. She’s a marketing analyst at a F100 tech company where she’s responsible for developing digital ad campaigns, monitoring their success, and reporting out on performance to senior leadership on a weekly (or sometimes daily) basis.
However, it’s a tedious process. Her reports are built in spreadsheets and she’s reliant on IT to run them every week (along with every other department), which requires her to put in a ticket request every time.
While Sarah has some experience with data — she knows some probabilistic stats and sampling methods along with data visualization for her presentations — she knows she is not even close to wrangling and prepping all of the different sources of data to achieve actionable insights that can really impact her organization.
Not to mention, she’s gunning for a promotion so she pulls late nights multiple times a week when she could really use a vacation, but no one knows the process quite like her to provide the support needed while she’s gone.
Sarah needs to make the leap from simple ad-hoc reports into advanced analytics – taking her knowledge and influence across her organization to the next level. Maybe you do, too.
Get ready to become the Citizen Data Scientist of every company’s dreams.
What is a Citizen Data Scientist?
Coined by Gartner, the analyst firm defines a Citizen Data Scientist as "a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics."
The term “citizen” refers to an individual without formal training in data science, and “data scientist” acknowledges they have the practical knowledge to be successful. It’s not a title, per say. It’s an empowered superuser with advanced analytical skills, bridging the gap between mainstream self-service data discovery by business users and the advanced analytics techniques of data scientists.
Why are Citizen Data Scientists Important?
The Gartner report, Citizen Data Science Augments Data Discovery and Simplifies Data Science, states that, “the number of Citizen Data Scientists will grow five times faster than the number of highly skilled data scientists.”
Delivering high-value analytics is key to the future contributions of analysts. Analysts that embrace the evolution of becoming a citizen data scientist will have a major competitive advantage, and will be the driving force in delivering transformation change within their organizations.