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- Tasks: Validate and prioritise data requests while collaborating with Sales and Data Science teams.
- Company: Join Sensor Tower, a leading tech company focused on data solutions.
- Benefits: Full-time role with opportunities for growth and skill development.
- Why this job: Be the key connector in a dynamic team, making an impact with data insights.
- Qualifications: Bachelor’s degree in a relevant field and strong analytical skills required.
- Other info: Exciting environment with a focus on genuine talent and personal growth.
The predicted salary is between 30000 - 50000 £ per year.
Join to apply for the Data Solutions Analyst role at Sensor Tower. This role acts as a key connector between the Sales, Data Science, and Product teams, ensuring that data related requests are correctly validated, prioritized, and addressed. You will be the first line of defense for data validation inquiries, joining customer calls, and driving internal clarity around public and proprietary data discrepancies.
What you will do:
- Review and Triage Data Validation Tickets
- Assess incoming data related tickets for completeness, clarity, and accuracy.
- Join sales calls acting as a first line of defense to address data related concerns directly with clients.
- Act as a subject matter expert to explain data nuances and prevent unnecessary escalations to the Data Science team.
- Validate requests using internal tools and compare public data against proprietary (VGI/ST) sources.
- Collaborate with the ST/VGI team to surface differences between public and internal data sets.
- Flag and redirect any non actionable or duplicate requests.
- Prioritize and Coordinate Workflows for Sales and Data Science teams
- Develop and maintain a ticket prioritization framework to help the Data Science team focus on high impact issues.
- Support cross functional initiatives between the Sales, Product, and Data Science teams.
- Provide feedback and insights to improve internal data tools and customer experience.
Qualifications and skills:
- A bachelor’s degree in a quantitative, analytical, or business-related field.
- Analytical skills and high attention to detail.
- Proficiency with pivot tables, lookups, basic formulas.
- Familiarity with SQL for data querying and validation.
- Excellent communication and interpersonal skills, especially in cross functional settings.
- Comfortable working with sales teams and customers to explain data insights and managing multiple tasks in possible time sensitive situations.
- Ability to research and synthesize market trends, competitor data, and industry benchmarks.
- Experience in reviewing and interpreting public financial statements.
While we value fluency with AI tools in the workplace, we encourage candidates to refrain from using generative AI to produce answers for assessments or live interviews. Our goal is to see your genuine, unassisted thought process and approach.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Seniority level: Not Applicable
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
Data Solutions Analyst employer: Sensor Tower
Contact Detail:
Sensor Tower Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Sensor Tower on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you’d handle data validation scenarios. We want to see your analytical thinking in action!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. This role is all about connecting with sales and clients, so let’s make sure you shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Solutions Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Solutions Analyst role. Highlight your analytical skills and any experience with data validation or customer interactions. We want to see how your background fits with what we do!
Showcase Your Skills: Don’t forget to showcase your proficiency with tools like SQL and Excel. Mention any relevant projects where you’ve used pivot tables or lookups. This will help us see your technical chops right away!
Be Clear and Concise: When writing your cover letter, be clear and concise about why you’re a great fit for the role. Use specific examples to demonstrate your communication skills and attention to detail. We love a good story that shows your capabilities!
Apply Through Our Website: Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Sensor Tower
✨Know Your Data
Make sure you brush up on your data validation skills and understand the nuances of public versus proprietary data. Familiarise yourself with SQL basics, as you'll likely need to demonstrate your ability to query and validate data during the interview.
✨Showcase Your Communication Skills
Since this role involves liaising between Sales, Data Science, and Product teams, practice explaining complex data concepts in simple terms. Prepare examples of how you've effectively communicated data insights in previous roles or projects.
✨Prepare for Scenario Questions
Expect questions that assess how you would handle specific data-related scenarios. Think about past experiences where you triaged data requests or resolved discrepancies, and be ready to discuss your thought process and actions.
✨Demonstrate Your Analytical Mindset
Highlight your analytical skills by discussing how you approach problem-solving. Be prepared to talk about how you prioritise tasks and manage multiple requests, especially in time-sensitive situations, to show you're a proactive team player.
