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For Companies At a Glance
- Tasks: Lead a team to analyse data and influence key business decisions.
- Company: Join a forward-thinking company that values strategic insights.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of business with your analytical expertise and leadership skills.
- Qualifications: Experience in data analysis and team leadership required.
- Other info: Dynamic role with potential for significant impact across the organisation.
The predicted salary is between 43200 - 72000 £ per year.
Strategic & Business Acumen
- Deep understanding of business functions, especially Finance and HR, to contextualize analytical work.
- Ability to shape and influence KPIs, identifying commercial levers and drivers of value.
- Translates complex business challenges into clear, solvable analytical problems.
Technical & Analytical Expertise
- Proficient in data analysis and modelling (e.g., regression, clustering, forecasting) using tools like SQL, Python, R, or Power BI/Tableau.
- Comfortable with data pipelines, ETL processes, and cloud environments (GCP, AWS, or Azure).
- Applies critical thinking to incomplete or messy datasets, using structured, hypothesis-driven approaches.
Communication, Leadership & Influence
- Synthesises complex analysis into clear, compelling stories that drive decision-making.
- Builds strong cross-functional relationships, including with senior stakeholders, to influence outcomes.
- Leads and develops a small team, ensuring continued growth in skills, performance, and personal development.
Senior Analytics Manager employer: PENTLAND
Contact Detail:
PENTLAND Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those using SQL, Python, or Tableau. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to analytics and business strategy. Think about how you can translate complex problems into simple solutions – that’s what they want to hear!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Analytics Manager
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your experience with data analysis and modelling in your application. We want to see how you've tackled complex business challenges using tools like SQL, Python, or R. Don't just list your skills; give us examples of how you've applied them!
Connect the Dots: When writing your application, try to connect your past experiences to the role's requirements. We love seeing candidates who can translate their understanding of finance and HR into actionable insights. Show us how you’ve influenced KPIs and driven value in previous roles.
Craft a Compelling Story: Your application should tell a story about your journey and achievements. We’re looking for clear, compelling narratives that demonstrate your ability to synthesise complex analysis. Think about how your work has impacted decision-making and be ready to share those stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter team!
How to prepare for a job interview at PENTLAND
✨Know Your Business Inside Out
Make sure you have a solid understanding of the company's business functions, especially in Finance and HR. Be ready to discuss how your analytical work can influence KPIs and drive value. This will show that you can contextualise your analysis within the broader business strategy.
✨Show Off Your Technical Skills
Brush up on your data analysis and modelling skills using SQL, Python, R, or Power BI/Tableau. Be prepared to discuss specific projects where you've applied these tools, especially in handling messy datasets. Highlight your experience with ETL processes and cloud environments like GCP, AWS, or Azure.
✨Communicate Clearly and Compellingly
Practice synthesising complex analyses into clear narratives. During the interview, aim to present your findings in a way that drives decision-making. Use examples from your past experiences to illustrate how you've influenced outcomes through effective communication.
✨Demonstrate Leadership and Team Development
Be ready to talk about your experience leading teams and developing talent. Share specific examples of how you've helped team members grow in their skills and performance. This will show that you not only excel in analytics but also in fostering a collaborative and high-performing environment.
