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- Tasks: Lead a team to deliver impactful analytics solutions for commercial operations.
- Company: Join a dynamic company focused on data-driven decision-making and strategic growth.
- Benefits: Enjoy flexible work options, collaborative culture, and opportunities for professional development.
- Why this job: Make a real impact by driving financial performance and optimising business operations with data insights.
- Qualifications: Experience in data analytics, team management, and proficiency in SQL and Python required.
- Other info: Ideal for those passionate about analytics in a high-growth SaaS environment.
The predicted salary is between 43200 - 72000 £ per year.
As an Analytics Manager, you will drive analytics for our commercial operations, partnering closely with Revenue Operations and Strategic Finance, and other business operations teams. You will lead a team of Analytics Engineers and Data Scientists, managing the end-to-end delivery of analytics solutions, from data infrastructure to predictive models and actionable insights. You will play a key role in improving financial and operational performance, by defining success metrics and identifying opportunities for optimization. Data Analytics is a critical function that directly influences our strategic decisions and business outcomes. As a leader within this department, you will have a strong support network of Analytics Engineers, Data Scientists, and very collaborative business stakeholders.
How you'll make impact:
- You will manage a team of Analytics Engineers and Data Scientists that designs, builds, and maintains data pipelines, develops predictive models, and delivers self-serve analytics tools and dashboards.
- You will be responsible for delivering analytics solutions that improve financial and operational performance across our commercial teams. This includes scoping projects, managing delivery, mentoring team members, and providing impactful insights.
- Contribute to strategic planning and decision-making by providing data-driven recommendations and identifying high-impact areas for improvement.
- Ensure the collection and modeling of accurate and relevant data to generate meaningful business insights.
- Enhance the data maturity of our commercial operations by promoting data-driven decision-making.
- Partner with Revenue Operations, Strategic Finance, and other Business Operations teams to build data analytics solutions.
Qualifications
- Experience in delivering data warehouses, self-serve analytics tools, and data products/insights that drive business value.
- Experience managing and supporting high performing teams, as well as managing project delivery and planning.
- Demonstrable experience in building measurement frameworks and using quantitative methods (including predictive modeling and statistical analysis) to validate results.
- Strong experience building analytics with cloud data warehouses, Google BigQuery, Snowflake, modern data stack technologies like DBT, Fivetran, Airflow.
- Demonstrable experience in partnering with various stakeholders and building data products that support many technical and non-technical users.
- Experience in cross-functional collaboration with stakeholders, including setting expectations, prioritizing projects, and scoping analytical deliverables.
- Strong analytics skills, including proficiency in SQL and Python, data modeling and engineering, applied statistics (e.g., hypothesis testing, regression analysis), and hands-on experience with BI tools (e.g., Tableau, Power BI, Looker).
- Experience with financial modeling and forecasting, preferably within high-growth SaaS environment.
Analytics Manager - Business Analytics London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager - Business Analytics London
✨Tip Number 1
Familiarise yourself with the specific analytics tools and technologies mentioned in the job description, such as Google BigQuery, Snowflake, and DBT. Having hands-on experience or relevant projects to discuss can set you apart during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams and delivered analytics projects in the past. Be ready to discuss your approach to mentoring team members and driving collaboration across departments.
✨Tip Number 3
Prepare to discuss your experience with building measurement frameworks and using quantitative methods. Highlight specific instances where your data-driven insights led to significant business improvements or optimisations.
✨Tip Number 4
Network with professionals in the analytics field, especially those who have experience in SaaS environments. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Analytics Manager - Business Analytics London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, team management, and project delivery. Use specific examples that demonstrate your ability to drive business value through data analytics.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Analytics Manager. Discuss your experience with data warehouses, predictive modelling, and how you've successfully collaborated with cross-functional teams.
Showcase Technical Skills: Clearly outline your technical skills in SQL, Python, and any BI tools you are proficient in. Mention your experience with cloud data warehouses and modern data stack technologies, as these are crucial for the role.
Highlight Leadership Experience: Emphasise your experience in managing high-performing teams. Provide examples of how you've mentored team members and contributed to strategic planning and decision-making within your previous roles.
How to prepare for a job interview at Checkout Ltd
✨Showcase Your Leadership Skills
As an Analytics Manager, you'll be leading a team. Be prepared to discuss your experience in managing teams, mentoring members, and driving project delivery. Share specific examples of how you've successfully led analytics projects and improved team performance.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools and technologies mentioned in the job description, such as SQL, Python, Google BigQuery, and BI tools like Tableau or Power BI. Be ready to discuss your hands-on experience with these technologies and how you've used them to deliver impactful analytics solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to drive data-driven decisions. Prepare to discuss scenarios where you've defined success metrics, identified optimisation opportunities, and contributed to strategic planning using analytics.
✨Highlight Cross-Functional Collaboration
The role requires working closely with various stakeholders. Be ready to share examples of how you've partnered with different teams, set expectations, and prioritised projects. Emphasise your communication skills and ability to translate complex data insights into actionable recommendations for non-technical users.
