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For Companies At a Glance
- Tasks: Lead the sales cycle for data solutions and drive revenue growth.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant team culture.
- Why this job: Make a real impact by translating data into business value while collaborating with diverse teams.
- Qualifications: Bachelor’s degree in relevant fields; extensive B2B sales experience required.
- Other info: Ideal for those passionate about data and eager to work with enterprise clients.
The predicted salary is between 48000 - 84000 £ per year.
Location: London
Job Summary
Our clients are seeking a dynamic, results-oriented Data Sales Leader to drive their go-to-market strategy for data solutions. This individual will be instrumental in leading sales initiatives, growing revenue, and expanding their enterprise customer base. The ideal candidate brings deep expertise in selling data products, analytics platforms, or data-driven services, and can effectively translate data capabilities into real business value. Collaboration across cross-functional teams will be key to delivering impactful, tailored solutions.
Key Responsibilities
- Own and lead the full sales cycle for data and analytics offerings.
- Design and execute strategic sales plans to achieve and surpass revenue targets.
- Identify new enterprise opportunities and expand into emerging verticals.
- Cultivate and manage long-term relationships with key clients and decision-makers.
- Partner with product, marketing, and customer success teams to align solutions with client needs.
- Translate business challenges into data-driven solutions that resonate with enterprise clients.
- Provide accurate sales forecasting and report on key performance indicators (pipeline, revenue, conversion rates).
- If applicable, recruit, mentor, and manage a high-performing sales team.
- Stay informed on industry trends, emerging data technologies, and the competitive landscape.
Requirements
- Bachelor’s degree in business, Marketing, Data Science, or a related field; MBA preferred.
- Extensive B2B sales experience, ideally within the data, SaaS, or analytics domains.
- Demonstrated success in consistently meeting or exceeding sales goals.
- Strong knowledge of data-centric products such as APIs, data lakes, or analytics dashboards.
- Exceptional communication, negotiation, and relationship-building skills.
- Ability to articulate complex technical concepts in terms of business outcomes.
- Proficiency with CRM tools (e.g., Salesforce, HubSpot).
Preferred Qualifications
- Experience selling into industries such as fintech, marketing analytics, AdTech, or retail intelligence.
- Proven track record working with C-suite stakeholders and large enterprise clients.
- Familiarity with data privacy regulations like GDPR, CCPA, and other compliance standards.
Data Sales Manager employer: Shaw Daniels Solutions
Contact Detail:
Shaw Daniels Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Sales Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data technologies and analytics platforms. This knowledge will not only help you understand the products better but also enable you to engage in meaningful conversations with potential clients about how these solutions can solve their business challenges.
✨Tip Number 2
Network with professionals in the data sales industry, especially those who have experience selling to enterprise clients. Attend industry events, webinars, or local meetups to build relationships and gain insights that could give you an edge in your application.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully driven sales initiatives in the past. Be ready to articulate how you identified opportunities, built relationships, and translated complex data solutions into tangible business value for your clients.
✨Tip Number 4
Showcase your understanding of CRM tools like Salesforce or HubSpot during interviews. Being proficient in these tools is crucial for managing sales pipelines and forecasting, so be prepared to discuss how you've used them to achieve sales success in previous roles.
We think you need these skills to ace Data Sales Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in B2B sales, particularly within data, SaaS, or analytics. Emphasise your achievements in meeting or exceeding sales goals and your familiarity with data-centric products.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the role and how your skills align with the company's needs. Mention specific examples of how you've successfully translated data capabilities into business value for clients.
Showcase Industry Knowledge: Highlight your knowledge of industry trends and emerging data technologies in your application. This shows that you are proactive and informed, which is crucial for a Data Sales Manager.
Prepare for Potential Questions: Anticipate questions related to your experience with CRM tools, your approach to building client relationships, and how you handle sales forecasting. Being prepared will help you articulate your thoughts clearly during any follow-up discussions.
How to prepare for a job interview at Shaw Daniels Solutions
✨Know Your Data Products
Make sure you have a solid understanding of the data products and analytics platforms that the company offers. Be prepared to discuss how these solutions can solve real business problems and add value for clients.
✨Demonstrate Sales Success
Come ready to share specific examples of your past sales achievements, particularly in B2B environments. Highlight how you've met or exceeded sales targets and the strategies you used to do so.
✨Showcase Relationship-Building Skills
Prepare to discuss how you've cultivated long-term relationships with clients and decision-makers. Emphasise your ability to communicate effectively and negotiate successfully with C-suite stakeholders.
✨Stay Updated on Industry Trends
Research current trends in data technologies and the competitive landscape. Being knowledgeable about industry developments will demonstrate your commitment and help you engage in meaningful conversations during the interview.
