At a Glance
- Tasks: Drive revenue and manage relationships with clients for data intelligence software.
- Company: Join Experian PLC, a leader in data quality solutions.
- Benefits: Competitive salary, flexible working options, and career advancement opportunities.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make an impact in the data quality space while building valuable client relationships.
- Qualifications: Experience in sales and strong relationship-building skills required.
The predicted salary is between 59400 - 72600 £ per year.
Experian PLC is seeking a Business Development Manager to drive revenue across a portfolio of established and prospective clients within the Experian Data Quality (EDQ) team. The role involves managing larger-spend customers, expanding relationships and leading sales engagements for data intelligence software such as Aperture Data Studio. You will build multi-level stakeholder relationships, identify new use cases, and maintain a robust pipeline while collaborating with the wider go-to-market.
Hybrid Data Quality SaaS Sales Manager employer: Experian plc
Experian is an exceptional employer that prioritises a people-first culture, offering a supportive and inclusive environment where employees can thrive. With a strong focus on employee growth and development, the company provides opportunities to work on impactful projects across diverse sectors while enjoying a competitive benefits package, including hybrid working options and generous annual leave. Join us at Experian, where your unique contributions are celebrated, and you can be part of a multi-award-winning workplace dedicated to creating a better tomorrow.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Quality SaaS Sales Manager
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We think you need these skills to ace Hybrid Data Quality SaaS Sales Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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