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- Tasks: Lead a dynamic team in delivering data-driven insights and solutions.
- Company: Join a passionate consultancy focused on empowering organisations through data analysis.
- Benefits: Earn up to £102,000 plus bonuses and enjoy professional development opportunities.
- Why this job: Make a real impact by driving business success through innovative data strategies.
- Qualifications: 5+ years in data analytics with leadership experience; strong programming skills required.
- Other info: Work in a vibrant, inclusive culture that values innovation and collaboration.
The predicted salary is between 72000 - 120000 £ per year.
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 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.
Benefits
- Up to £102,000 + good bonus.
- Professional development programs and opportunities for growth within the firm.
- A vibrant, inclusive workplace culture that values and encourages innovation.
Senior Manager, Data Analytics / Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Data Analytics / Scientist
✨Tip Number 1
Network with professionals in the data analytics field, especially those who work in consultancy. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in interviews.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing teams or projects. Prepare specific examples of how you've successfully led analytics initiatives and fostered collaboration among team members.
✨Tip Number 3
Familiarise yourself with the company's clients and their industries. Understanding their business challenges will help you tailor your discussions during interviews and demonstrate your ability to provide strategic insights.
✨Tip Number 4
Brush up on your technical skills, particularly in programming languages like Python or R, and data visualisation tools such as Tableau or Power BI. Being able to discuss your proficiency in these areas will be crucial in showcasing your fit for the role.
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. Emphasise 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 developed strategic relationships with stakeholders and driven business success through data analytics.
Showcase Technical Skills: Clearly list your technical skills, especially in programming languages like Python, R, or SQL, and any experience with data visualisation tools. Provide examples of how you've used these skills to solve complex business problems or create predictive models.
Prepare for Interviews: If invited for an interview, be ready to discuss your previous projects in detail. Prepare to explain your approach to managing analytics teams and how you ensure high-quality deliverables. Also, think about how you would present complex data insights to non-technical stakeholders.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Leadership Skills
As a Senior Manager, you'll be expected to lead a team. Be prepared to discuss your previous leadership experiences, how you've mentored others, and how you foster collaboration within your team.
✨Demonstrate Technical Expertise
Make sure to highlight your proficiency in programming languages like Python, R, or SQL. Be ready to discuss specific projects where you've applied advanced statistical methods or machine learning algorithms to solve business problems.
✨Prepare for Client Interaction Scenarios
Since the role involves collaborating with clients, think of examples where you've successfully defined analytics needs and translated business requirements into actionable solutions. This will show your ability to engage with stakeholders effectively.
✨Communicate Insights Clearly
You'll need to present complex data findings to executive leadership and clients. Practice explaining technical concepts in simple terms and focus on how your insights can drive business decisions and results.
