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- Tasks: Connect Sales, Data Science, and Product teams while reviewing data validation requests.
- Company: Leading data analytics company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by improving data tools and collaborating across teams.
- Qualifications: Degree in a relevant field and strong analytical and communication skills.
- Other info: Dynamic work environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading data analytics company in the Greater London area seeks a Data Solutions Analyst to connect Sales, Data Science, and Product teams. This role involves reviewing data validation requests, guiding customer interactions during sales calls, and ensuring clarity on public and proprietary data discrepancies.
Ideal candidates will have:
- a degree in a relevant field,
- strong analytical capabilities,
- excellent communication skills.
This position presents an opportunity to improve internal data tools while working cross-functionally.
Data Solutions Analyst: Bridge Sales & Data Insights employer: Sensor Tower Inc.
Contact Detail:
Sensor Tower Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Analyst: Bridge Sales & Data Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the data analytics field, especially those connected to the company you're eyeing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for those interviews by brushing up on your analytical skills. Be ready to discuss how you've tackled data discrepancies or improved tools in past roles. We want to see your problem-solving prowess shine!
✨Tip Number 3
Show off your communication skills! During interviews, make sure to articulate your thoughts clearly and confidently. Remember, this role is all about connecting teams, so let your conversational skills do the talking.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Solutions Analyst: Bridge Sales & Data Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any relevant experience in data solutions. We want to see how your background connects with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Solutions Analyst role and how you can bridge the gap between Sales, Data Science, and Product teams. Let us know what makes you the perfect fit!
Showcase Your Communication Skills: Since this role involves guiding customer interactions, it’s crucial to demonstrate your communication prowess. Use clear and concise language in your application to reflect how you’d interact with clients and colleagues alike.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Sensor Tower Inc.
✨Know Your Data
Make sure you brush up on your data analytics knowledge. Understand the key concepts and tools relevant to the role, such as data validation processes and how they impact sales. Being able to discuss these topics confidently will show that you're ready to connect Sales, Data Science, and Product teams effectively.
✨Showcase Your Communication Skills
Since this role involves guiding customer interactions, practice articulating complex data insights in a simple way. Prepare examples of how you've successfully communicated data findings in the past, especially during sales calls or cross-functional meetings. This will demonstrate your ability to bridge gaps between teams.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, like resolving data discrepancies. Think through potential scenarios and prepare structured responses that highlight your analytical skills and problem-solving abilities. This will help you stand out as a candidate who can think on their feet.
✨Research the Company Culture
Familiarise yourself with the company's values and culture. Understanding their approach to data analytics and how they collaborate across teams will allow you to tailor your answers to align with their expectations. It shows that you're not just interested in the role, but also in being a good fit for the team.
