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Kws logo

CRM & Commercial Analytics Specialist (m/w/d)

Kws
Posted 2 weeks ago
🇬🇧United Kingdom🏢Hybrid📁Data & Analytics
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Field of Work: Marketing & Sales Location: Legal Entity: KWS UK Ltd. Contract Type: Regular Is Full Time?: Yes Onsite/ Remote: Job ID: 16795 Are you passionate about creating seamless customer experiences and leveraging data to drive commercial success? KWS UK Ltd. is seeking a CRM & Commercial Analytics Specialist to join our dynamic team in Thriplow . In this full-time role, you’ll play a pivotal part in shaping our customer journey strategy and optimising our CRM systems to support marketing and sales excellence. As our CRM & Commercial Analytics Specialist, you will: Champion a customer-centric approach by ensuring a consistent and smooth experience across all touchpoints and stages of the customer journey. Collaborate with the Digital Marketing Executive and cross-functional teams to assess and enhance customer interactions across channels and platforms. Design and deliver exceptional customer experiences through all marketing activities. Act as the Salesforce expert for KWS UK, promoting system adoption and best practices across internal teams. Optimise the CRM system (Salesforce) in alignment with marketing and sales requirements. Provide hands-on support to internal teams for efficient CRM usage. Ensure GDPR compliance and uphold data governance standards. We’re looking for a proactive and analytical professional with: Minimum 4+ years of experience in customer journey marketing and/or CRM. Proven expertise in Salesforce (essential). Advanced proficiency in analytical tools such as Google Analytics and CRM platforms. Strong understanding of customer engagement, retention, and loyalty strategies. Experience in project management and campaign execution. UK-based and available to work from our Thriplow office at least three days per week. At KWS, we believe in cultivating talent and fostering a supportive work environment. You’ll benefit from: Key focus on professional and personal development. “Make yourself grow”. 35 working hours weekly 30 days of annual leave plus bank holidays Highly competitive Pension Scheme with 16% Company contribution and 1.2% minimum employee contribution Life Assurance of three times annual salary Income Protection Plan at 75% of salary for long-term illness and disability for a period of three years Private Health Care Plan Profit Related Bonus Scheme, targeted at 10% of annual salary Membership of Lifestyles discount scheme Reduced diesel prices from the company’s fuel pump Ready to Join Us? If you’re excited to drive customer excellence and bring data-driven insights to life, we’d love to hear from you. Apply now with your CV and take the next step in your career with KWS UK Ltd. Please enable JavaScript Screen readers cannot read the following searchable map. Follow this link to reach our Job Search page to search for available jobs in a more accessible format. About KWS KWS is one of the world’s leading plant breeding companies and employs around 5,000 employees in more than 70 countries. With the tradition of family ownership, KWS has operated independently for more than 170 years. It focuses on plant breeding and the production and sale of seeds for sugarbeet, corn, cereals, vegetables, oilseed rape and sunflowers. KWS uses leading-edge plant breeding methods and invests a significant amount in research and development. At KWS, diversity is not just a value; it is an essential part of our success. Breeding resilient crops requires diversity; likewise, our strength comes from the diversity of our teams. Whatever your background or identity is, we invite you to join us. Further information: https://www.kws.com/corp/en/careers/ . Follow us on LinkedIn® at https://linkedin.com/company/kwsgroup/ . Our data privacy policy for candidates is available on www.kws.com/dataprotection . Please select the country where the job you applied for is posted in and, if applicable, the specific business unit. Job Segment: CRM, Analytics, Bank, Banking, Data Analyst, Technology, Management, Finance, Data

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