Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a dynamic team in delivering data-driven insights and solutions.
- Company: Join a passionate team focused on empowering organizations through data analysis.
- Benefits: Enjoy a collaborative environment with opportunities for mentorship and growth.
- Why this job: Make a real impact by driving business success through advanced analytics.
- Qualifications: 5+ years in data analytics, with leadership experience and strong programming skills required.
- Other info: Ideal for those looking to shape the future of data-driven decision-making.
The predicted salary is between 43200 - 72000 £ per year.
Senior Manager, Data Analytics / Scientist
Our client prides themselves on delivering data-driven insights and solutions to their clients across various industries. Their mission is to empower organizations to make informed decisions through effective data analysis and strategic consulting. They are a dynamic team passionate about leveraging the power of data to drive business success.
They are looking for a highly motivated and experienced Senior Manager of Data Analytics / Data Science to lead and grow their analytics team. The ideal candidate will have a strong background in data science, a proven track record in managing analytics projects, and the ability to develop strategic relationships with stakeholders. In this role, you will enhance their data capabilities while driving insights that support their clients\’ business objectives.
Responsibilities
- Lead and manage a team of data analysts and data scientists, providing mentorship and fostering a collaborative environment.
- Develop and execute the data analytics strategy, aligning team objectives with overall business goals.
- Oversee the design and implementation of advanced data analytics projects, ensuring high-quality deliverables within timelines.
- Collaborate with clients to define analytics needs, scope projects, and translate business requirements into analytical solutions.
- Utilize advanced statistical methods and machine learning algorithms to solve complex business problems and create predictive models.
- Present findings and insights to executive leadership and clients, translating complex technical concepts into actionable business recommendations.
- Drive continuous improvement initiatives within the analytics team, staying current with industry trends, tools, and best practices.
- Establish key performance indicators (KPIs) to measure the success of analytics initiatives and ensure alignment with client objectives.
Qualifications
- Experience working in a consultancy or client-facing environment is highly desirable.
- Bachelor’s or Master\’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 5+ years of experience in data analytics, data science, or a related field, with at least 2 years in a managerial or leadership role.
- Proven experience in managing complex analytics projects and leading cross-functional teams.
- Expertise in programming languages such as Python, R, or SQL, and experience with data visualization tools (e.g., Tableau, Power BI).
- Strong knowledge of statistical analysis, machine learning, and data mining techniques.
- Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
- Strong business acumen and a strategic mindset, with a focus on delivering measurable results.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Consulting, Information Technology, and Project Management
Industries
Business Consulting and Services, IT Services and IT Consulting, and Financial Services
#J-18808-Ljbffr
Senior Manager, Data Analytics / Scientist employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Data Analytics / Scientist
✨Tip Number 1
Make sure to showcase your leadership experience in data analytics. Highlight specific projects where you led a team, emphasizing your ability to mentor and foster collaboration among team members.
✨Tip Number 2
Demonstrate your strategic mindset by discussing how you've aligned analytics initiatives with business goals in previous roles. Be prepared to share examples of how your insights have driven measurable results for clients.
✨Tip Number 3
Familiarize yourself with the latest trends and tools in data analytics and machine learning. Being able to discuss current industry practices will show that you're proactive and committed to continuous improvement.
✨Tip Number 4
Prepare to articulate complex technical concepts in a way that resonates with non-technical stakeholders. Practice translating your analytical findings into actionable business recommendations that can influence decision-making.
We think you need these skills to ace Senior Manager, Data Analytics / Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and management. Emphasize your leadership roles and any successful projects you've led, particularly those that align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven insights and how your background aligns with the company's mission. Mention specific examples of how you've successfully managed analytics teams and projects, and how you can contribute to their goals.
Showcase Technical Skills: Clearly list your expertise in programming languages like Python, R, or SQL, as well as your experience with data visualization tools. Provide examples of how you've used these skills to solve complex business problems or drive insights.
Prepare for Interviews: Be ready to discuss your previous experiences in detail, especially your approach to managing teams and projects. Prepare to explain complex technical concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at Hunter Bond
✨Showcase Your Leadership Experience
As a Senior Manager, it's crucial to highlight your experience in leading teams. Be prepared to discuss specific examples of how you've mentored team members and fostered a collaborative environment in previous roles.
✨Demonstrate Technical Proficiency
Make sure to showcase your expertise in programming languages like Python, R, or SQL. Prepare to discuss how you've applied advanced statistical methods and machine learning algorithms to solve real business problems.
✨Align with Business Objectives
Understand the company's mission and be ready to explain how your data analytics strategy can align with their overall business goals. Discuss how you can translate complex data insights into actionable recommendations for clients.
✨Prepare for Client Interaction Scenarios
Since the role involves collaborating with clients, prepare for questions about how you've defined analytics needs and scoped projects in the past. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders.
