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For Companies At a Glance
- Tasks: Analyse Sales, Partnerships, and Customer Success data to drive strategic initiatives.
- Company: Join Monday.com, a diverse employer committed to inclusivity and the LGBTQ+ community.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Shape business strategy while working with a dynamic team in a vibrant office atmosphere.
- Qualifications: Must have 6+ years of experience in data analysis and high proficiency in SQL.
- Other info: Work from our London office 3 days a week and be part of impactful projects.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
This job is with Monday.com, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
We are looking for a Senior Data Analyst to join our Revenue Strategy & Operations team. This team plays a central role in driving strategic initiatives that support our revenue group, guiding decisions that impact hundreds of millions in revenue.
In this role, you will own the end-to-end analysis of Sales, Partnerships, and Customer Success data, from building dashboards and writing SQL queries to generating insights that shape business strategy.
Please note that this role requires attending our London office 3 days a week*
About The Role
About The Role
- Identify improvement areas through data analysis, aligned with the company's strategic vision and goals.
- Develop and maintain dashboards and reports within BI tools to monitor business health and operational effectiveness.
- Define and track key business metrics, proxies, and performance targets.
- Collaborate closely with cross-departmental stakeholders to uncover trends and identify business opportunities from a holistic, company-wide perspective.
- Support ongoing business requirements by delivering data-driven insights and solutions
Requirements
Your Experience & Skills
- High proficiency level of SQL – a MUST
- Experience querying DWH (Snowflake, PostgreSQL, MySQL) – a MUST
- Experience in data modeling with BI and Analytics tools (Looker, Tableau..) – a MUST
- 6+ years of experience as a Data Analyst/ Business Analyst / Revenue Analyst in a SaaS company, with experience working closely with GTM teams
- B.A. / B.Sc. in Computer Science, Business Administration, Economics, Statistics or equivalent
- Experience in creating methods for monitoring the business and working with statistical models – an advantage
- Experience supporting client-facing departments or revenue/business operations teams – an advantage.
- Curious, proactive, ambitious, storyteller, loves solving complex problems and excited to help others and share the success, team player.
#LI-DNI
Senior Data Analyst - Revenue Operations employer: monday.com
Contact Detail:
monday.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Revenue Operations
✨Tip Number 1
Familiarise yourself with the specific BI tools mentioned in the job description, like Looker and Tableau. Having hands-on experience or even creating sample dashboards can demonstrate your capability and enthusiasm for the role.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on querying DWH systems like Snowflake and PostgreSQL. Consider working on personal projects or contributing to open-source projects that require data analysis to showcase your proficiency.
✨Tip Number 3
Network with current or former employees of Monday.com, particularly those in the Revenue Operations team. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Being able to tell a compelling story about your impact will resonate well with the interviewers.
We think you need these skills to ace Senior Data Analyst - Revenue Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in a SaaS environment. Emphasise your proficiency in SQL and any experience with BI tools like Looker or Tableau.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or achievements that demonstrate your ability to drive strategic initiatives and support revenue operations.
Showcase Your Analytical Skills: Provide examples of how you've used data analysis to identify improvement areas or business opportunities in previous roles. Highlight any dashboards or reports you've developed that contributed to business strategy.
Prepare for Potential Questions: Anticipate questions related to your experience with SQL, data modelling, and collaboration with cross-departmental teams. Be ready to discuss how you approach problem-solving and your methods for monitoring business performance.
How to prepare for a job interview at monday.com
✨Showcase Your SQL Skills
Since high proficiency in SQL is a must for this role, be prepared to discuss your experience with SQL queries in detail. Consider bringing examples of complex queries you've written or challenges you've overcome using SQL.
✨Demonstrate Your Analytical Mindset
This position requires identifying improvement areas through data analysis. Be ready to share specific instances where your analytical skills led to actionable insights or strategic decisions that positively impacted revenue.
✨Familiarise Yourself with BI Tools
As the role involves developing dashboards and reports, make sure you are well-versed in BI tools like Looker or Tableau. You might be asked to explain how you've used these tools in past projects, so have some examples ready.
✨Prepare for Cross-Departmental Collaboration
Collaboration with various stakeholders is key in this role. Think of examples where you've successfully worked with different teams to uncover trends or solve problems, and be ready to discuss how you approach teamwork and communication.
