At a Glance
- Tasks: Drive strategic initiatives and uncover insights to guide business decisions.
- Company: Join a pioneering team in a start-up-like environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous improvement and collaboration.
- Why this job: Shape the future of our business while making a real impact with data.
- Qualifications: 5+ years in business analysis, strong SQL skills, and experience with BI tools.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a highly motivated, strategic Senior Business Data Analyst for our newly established customer organisation (CS, Services, CX, Tech & AI). This is a unique opportunity to pioneer and build our evolving business while working in a start‑up‑like environment. In this role, you will be a central analyst working closely with business teams within and outside the organisation, leveraging data to uncover insights, identify growth opportunities, and guide critical business decisions. You will also play a pivotal role in shaping the strategy and targets, and providing valuable recommendations to stakeholders.
What You’ll Do
- Manage and support end-to-end ongoing operational and strategic initiatives across the customer organization to achieve our business goals.
- Define and build dashboards to track business KPIs, success metrics, proxies, and targets.
- Identify trends, risks, and growth opportunities aligned with the company‑wide strategy.
- Facilitate ongoing business reviews and presentations to executive leadership by translating complex data into simple, compelling stories.
- Continuously improve data processes and contribute to the development of a data‑driven culture within the organization.
- Own and lead the annual budgeting and planning process, including setting targets and developing forecasts to support business decision‑making.
Requirements
- 5+ years of experience in business strategy, business analysis, preferably in SaaS or tech startups.
- High-level proficiency in SQL is a must.
- Proven experience designing data models and building self‑serve dashboards in Looker, Tableau, Power BI, or comparable BI tools is a must.
- Ability to work effectively in a global business environment.
- Strong understanding of business strategy, financial modeling, and business SaaS metrics.
- Strong strategic thinking with solid business intuition.
- Excellent communication and interpersonal skills to work effectively with diverse stakeholders, while being highly independent and self‑driven.
- Quick to learn, curious, and proactive in driving continuous improvement.
Senior Business Data Analyst employer: monday.com
Join our dynamic team as a Senior Business Data Analyst, where you'll thrive in a start-up-like environment that fosters innovation and collaboration. We offer a culture that prioritises employee growth, with opportunities to shape business strategies and make impactful decisions while working alongside diverse teams. Enjoy competitive benefits and the chance to pioneer data-driven initiatives that drive our evolving business forward.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Business Data Analyst role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data analysis. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your experience effectively!
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve built dashboards or conducted analyses, compile them into a neat presentation. We love seeing real examples of your work, and it can really set you apart from other candidates.
✨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’re always looking for passionate individuals who want to make an impact in our customer organisation.
We think you need these skills to ace Senior Business Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Business Data Analyst. Highlight your experience in business strategy and data analysis, especially in SaaS or tech startups. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how you can contribute to our evolving business. Be sure to mention specific examples of how you've leveraged data to drive decisions.
Showcase Your Technical Skills:Since SQL proficiency and BI tools are a must, make sure to highlight your experience with these in your application. We love seeing concrete examples of dashboards you've built or data models you've designed!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at monday.com
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with BI tools like Looker, Tableau, or Power BI. Be ready to discuss how you've used these tools in past roles to create dashboards or analyse data. This will show that you're not just a numbers person but someone who can translate data into actionable insights.
✨Understand the Business Strategy
Dive deep into the company's business model and strategy before the interview. Think about how your role as a Senior Business Data Analyst can align with their goals. Prepare examples of how you've identified growth opportunities or improved processes in previous positions, as this will demonstrate your strategic thinking.
✨Prepare Compelling Stories
Since you'll need to present complex data in an understandable way, practice telling stories with your data. Use the STAR method (Situation, Task, Action, Result) to frame your experiences. This will help you convey your points clearly and make a lasting impression on the interviewers.
✨Show Your Curiosity
Be proactive in discussing how you've driven continuous improvement in your previous roles. Share specific examples where your curiosity led to better data processes or insights. This will highlight your self-driven nature and eagerness to contribute to a data-driven culture within the organisation.
