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- Tasks: Lead analytics projects, translating business challenges into data-driven solutions.
- Company: Join Tiger Analytics, a top-tier consulting firm trusted by Fortune 100 companies.
- Benefits: Enjoy significant career growth, a dynamic work environment, and the chance to work globally.
- Why this job: Be part of a fast-growing team making impactful decisions in the CPG sector.
- Qualifications: 9-14 years in analytics, strong SQL skills, and experience with R, Python, and visualisation tools.
- Other info: This role offers high individual responsibility and exposure to cutting-edge analytics technologies.
The predicted salary is between 43200 - 72000 £ per year.
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are also market leaders in AI & Analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector and we are beefing up our talent in the space. We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team.
Responsibilities:
- Work on the latest applications of data science to solve business problems in the CPG space.
- Work directly with client stakeholders to translate business problems into high-level analytics solution designs.
- Present analytic solutions to business audiences highlighting the robustness of the solution and how it could help generate business value.
- Responsible for managing analytics projects, and collaborating with client stakeholders and Tiger’s team situated globally.
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
- Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize the analytics solution.
Requirements:
- 9-14 years of professional work experience with at least 7 years in data analytics.
- Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches.
- Deep knowledge and understanding of the CPG space.
- Strong project management and team management skills and ability to work with global teams.
- A solid understanding of statistical and machine-learning algorithms is a plus.
- Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI.
- Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
- Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
- Graduate in Business Analytics or MBA or equivalent work experience.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Manager / Sr. Manager - Analytics Consulting (Retail/ FMCG) employer: Tiger Analytics
Contact Detail:
Tiger Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager / Sr. Manager - Analytics Consulting (Retail/ FMCG)
✨Tip Number 1
Network with professionals in the analytics and retail sectors. Attend industry events, webinars, or meetups to connect with people who work at Tiger Analytics or similar firms. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest trends in data science and analytics, particularly within the CPG space. Being able to discuss current challenges and innovations during interviews will demonstrate your passion and knowledge for the industry.
✨Tip Number 3
Prepare to showcase your project management skills by discussing specific projects you've led or contributed to. Highlight how you managed teams and collaborated with stakeholders, as this is crucial for the role.
✨Tip Number 4
Brush up on your SQL and analytic tool skills, especially R, Python, Tableau, and Power BI. Be ready to discuss how you've used these tools in past roles to derive actionable insights, as technical proficiency is key for this position.
We think you need these skills to ace Manager / Sr. Manager - Analytics Consulting (Retail/ FMCG)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and consulting, particularly in the CPG sector. Use specific examples to demonstrate your project management skills and ability to engage with senior stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention your experience with data science applications and how you can contribute to solving business problems in the retail space.
Highlight Technical Skills: Clearly outline your technical skills, especially in SQL, R, Python, and any visualization tools like Tableau or Power BI. Provide examples of how you've used these tools in past projects to drive business value.
Showcase Leadership Experience: Emphasise any leadership roles you've held, particularly in managing analytics projects or teams. Discuss how you've successfully collaborated with global teams and communicated results to senior management.
How to prepare for a job interview at Tiger Analytics
✨Understand the CPG Landscape
Make sure you have a solid grasp of the Consumer Packaged Goods (CPG) industry. Research current trends, challenges, and key players in the market. This knowledge will help you demonstrate your expertise and show how you can add value to the company.
✨Showcase Your Analytical Skills
Prepare to discuss specific projects where you've applied data analytics to solve business problems. Be ready to explain the methodologies you used, the tools involved, and the impact of your work on the business outcomes.
✨Engage with Stakeholders
Highlight your experience in working with executive-level stakeholders. Prepare examples of how you've successfully translated complex data insights into actionable strategies that resonate with non-technical audiences.
✨Demonstrate Project Management Expertise
Be prepared to discuss your project management skills, especially in a global context. Share examples of how you've managed teams, coordinated with different departments, and ensured timely delivery of analytics projects.
