Scotland Data Science & Technology MeetUp: Invisible Analysts

Invisible Analysts

Are you feeling stuck in your career?

Sometimes we operate in the shadows and our work stays unnoticed. We are passed for promotions and feel like there is no getting out of this dark corner.

Karen Jean-Francois, analytics manager and producer of the Women in Data podcast
has experienced this situation first hand.
Join her as she talks about the invisible performer and shares tips to help you be more visible and get the recognition you deserve.

As an analytics manager, Karen is passionate about how data science and analytics can support businesses and help them better understand their customers. While she finds digging into data fun, she believes that it comes with responsibility, and her uncompromising focus on data integrity enables her to build trust and strong relationships with stakeholders.

Most of all, she strives to help others craft their own path to personal and professional fulfilment. She believes that focusing on personal development and having access to role models is key to having a successful career – no matter what your definition of success is. This is why she created the Women in Data Podcast in partnership with Women in Data UK. This resulted in an industry recognition as a Twenty in Data and Technology 2020, which awards visible and accessible female role models for the next generations of data professionals.

Speaker - Karen JEAN-FRANCOIS - Analytics Manager | Women in Data Podcast Host and Producer
www.linkedin.com

Chair - Josh Smith, Client Acquisition Lead at MBN will be chairing the event - www.linkedin.com

to (Europe/London time)

More details and tickets: www.meetup.com

Imported From: www.meetup.com

More Information

This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.