At a Glance
- Tasks: Lead data analytics projects and deliver impactful insights for business decisions.
- Company: Join a forward-thinking company that values diversity and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on ethical AI practices.
- Why this job: Shape the future of data analytics while working with cutting-edge technologies.
- Qualifications: 10+ years in data analytics, strong SQL skills, and experience with BI tools.
The predicted salary is between 60000 - 80000 £ per year.
10+ years of requirements gathering and stakeholder management experience in business intelligence, analytics, or data product delivery supporting revenue/lead-to-cash or finance operations; ability to translate needs into clear user stories and acceptance criteria.
Experience with customer relationship management platforms (E.g. Salesforce) and modern analytics tools (E.g. Microsoft Power BI, Tableau, or Alteryx).
Working knowledge of data modelling and data warehousing/Lakehouse concepts, including data quality and governance.
Ability to read and validate Structured Query Language (SQL) and interpret existing queries, views, stored procedures, and functions.
Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
Education
Bachelor's degree in Business, Finance, Statistics, Data Science, Computer Science, or a related field (or equivalent practical experience).
Responsibilities
- Own reporting requirements for the data Lakehouse and Power BI buildout, delivering reports, data models, and testing with business partners.
- Own and manage reporting requirements for lead-to-cash use cases, prioritising demand and aligning scope, dependencies, and timelines with stakeholders.
- Elicit and document business needs with Finance, Sales, and Marketing; translate them into user stories, acceptance criteria, process flows, and a clear backlog for delivery.
- Define metrics, business rules, and data definitions; partner on dimensional/data modelling for the lakehouse and the Power BI semantic layer to ensure consistent reporting.
- Coordinate with data engineering and information technology teams on the data Lakehouse and Power BI buildout, clarifying requirements, dependencies, and non-functional needs (for example, refresh cadence and security).
- Support reporting development by validating source-to-report logic (including Structured Query Language (SQL) and partnering on dashboard/report builds in Power BI.
- Plan and execute testing (system and user acceptance testing), document delivered solutions, and support adoption and data governance.
- Work independently while coordinating across teams.
About the Team: The Customer Operations and Risk organization supports the customer lifecycle and lead-to-cash processes. This role sits within the Business Systems function as part of Data Management and Analytics team to deliver trusted data, reporting, and insights that enable decision making across the business.
Senior Data Analytics & Strategy Lead employer: Job Search Place Limited
At Moody's, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages exploration of cutting-edge technologies like AI. Located in a vibrant area, we provide our team with the resources and flexibility needed to thrive both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics & Strategy Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We recommend practising common interview questions and tailoring your answers to highlight your experience with data analytics and strategy. Show them you’re not just a fit on paper, but a perfect match for their team!
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to remind them why you’re the right choice for the role.
✨Tip Number 4
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 are proactive and engaged. So, get your application in and let’s make it happen!
We think you need these skills to ace Senior Data Analytics & Strategy Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analytics & Strategy Lead role. Highlight your experience in business intelligence and analytics, especially any work with revenue or finance operations. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t forget to showcase your technical skills! Mention your experience with tools like Power BI, Tableau, or SQL. If you've worked with AI concepts, let us know how you’ve used them to improve processes. We love seeing that enthusiasm for learning!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. We appreciate a personal touch, so feel free to share your journey in data analytics.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Data Tools
Make sure you’re well-versed in the analytics tools mentioned in the job description, like Power BI and Tableau. Brush up on your SQL skills too, as being able to read and validate queries will be crucial. We recommend practising with real datasets to showcase your analytical prowess.
✨Master Stakeholder Management
Since this role involves a lot of stakeholder interaction, prepare examples of how you've successfully gathered requirements and managed expectations in the past. We suggest using the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Show Your Curiosity for AI
The job mentions a basic understanding of AI concepts, so come prepared to discuss how AI can enhance data processes. We encourage you to share any personal projects or learning experiences related to AI that demonstrate your enthusiasm and willingness to learn.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios, especially around reporting and data governance. We advise you to think through potential challenges you might face in the role and how you would address them, as this will show your proactive approach.
