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- Tasks: Analyse data to drive strategic initiatives and support revenue growth.
- Company: Join the UK's leading age-inclusive jobs board focused on over-50s employment.
- Benefits: Work in a dynamic team with opportunities for professional growth and collaboration.
- Why this job: Shape business strategy through data insights while working in a supportive, innovative environment.
- Qualifications: Must have 6+ years of experience in data analysis and high proficiency in SQL.
- Other info: This role requires attending the London office three days a week.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Senior Insights 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
- 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
- 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, etc.) - 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, excited to help others and share success, team player.
Senior Insights Data Analyst employer: monday.com
Contact Detail:
monday.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insights Data Analyst
✨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 showcase your skills and make you stand out during discussions.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on querying data warehouses like Snowflake and PostgreSQL. Consider working on real-world projects or contributing to open-source databases to demonstrate your proficiency.
✨Tip Number 3
Network with professionals in the SaaS industry, particularly those who work in revenue operations or analytics. Engaging in conversations about trends and challenges can provide insights that you can reference in your interviews.
✨Tip Number 4
Prepare to discuss how you've used data to drive business decisions in your previous roles. Be ready to share specific examples of how your insights led to measurable improvements, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace Senior Insights Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, data analysis, and BI tools. Use specific examples from your previous roles that demonstrate your ability to drive strategic initiatives and support revenue operations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your experience in SaaS and your proficiency in data modelling and analytics tools.
Showcase Relevant Projects: If you have worked on projects that involved building dashboards or generating insights from data, be sure to mention these. Highlight any specific outcomes or improvements that resulted from your analyses.
Prepare for Potential Questions: Think about the types of questions you might be asked in an interview regarding your analytical approach and problem-solving skills. Be ready to discuss how you identify trends and opportunities through data analysis.
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. You might even be asked to solve a problem on the spot, so brush up on your skills and be ready to demonstrate your knowledge.
✨Familiarise Yourself with BI Tools
Make sure you have a solid understanding of BI tools like Looker or Tableau. Be ready to talk about how you've used these tools in previous roles to create dashboards and reports that drive business decisions.
✨Understand the Company’s Strategic Vision
Research the company’s goals and strategic vision before the interview. This will help you align your answers with their objectives and demonstrate how your insights can contribute to their success.
✨Prepare for Cross-Departmental Collaboration Questions
Given the collaborative nature of the role, think of examples where you've worked with different teams. Be ready to discuss how you uncovered trends and identified opportunities through teamwork, showcasing your ability to communicate effectively across departments.
