Consultant, Advanced Analytics in London

Consultant, Advanced Analytics in London

London Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Rakuten

At a Glance

  • Tasks: Lead client analytics, develop methodologies, and present strategic recommendations.
  • Company: Join Rakuten International, a global tech leader in e-commerce and advertising.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Dynamic team environment focused on continuous improvement and mentorship.
  • Why this job: Make an impact with data-driven insights and innovative solutions for top brands.
  • Qualifications: 2+ years in analytics, strong client-facing skills, and proficiency in BI tools.

The predicted salary is between 50000 - 70000 £ per year.

Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community. Rakuten Advertising provides advertising technology and consumer insights to the world’s leading brands and retailers.

Job Summary: Responsible for the development and execution of analyses that address specific client issues or initiatives. This role proactively identifies trends and issues utilizing a comprehensive range of analytic techniques and tools, translating complex business questions into actionable analytical solutions. The Consultant liaises directly with client services, network development, and operational personnel, and engages directly with clients to ensure the appropriateness of underlying assumptions and interpretations, and to provide expert direction on client analytics solutions/services, both internally and externally.

Key Responsibilities:

  • Lead the development and delivery of client analytics and reporting activities, driving client relationship building, and managing the overall project lifecycle of externally focused analytic deliverables.
  • Independently develop and refine methodologies, tools, and templates to allow for the successful execution of analytic deliverables. Proactively identify opportunities for innovation and efficiency.
  • Support the ongoing development of the Advanced Analytics group capabilities by sharing innovative approaches and solutions with the broader team, and actively mentor junior team members.
  • Participate in various activities to support the growth of the Advanced Analytics group including developing and delivering training content to Account Management and other internal functions.
  • Lead the development and maintenance of appropriate documentation regarding advanced analytic approaches, metric definitions, etc.
  • Proactively identify client business needs and translate them into robust analytical questions and solution designs.
  • Present complex analytical findings and strategic recommendations directly to clients, influencing their decision-making processes.

Specific tasks:

  • Client Insights & Solution Design: Lead client discussions to define analytical objectives and scope, guiding them towards the most impactful solutions. Design and execute advanced custom analyses leveraging internal tools/databases (e.g., benchmarking, publisher optimization, program performance analysis), delivering comprehensive insights and strategic recommendations. Develop and optimize complex trend analyses and performance dashboards, ensuring they align with evolving client needs and provide actionable intelligence.
  • Data Quality & Operational Excellence: Oversee and ensure the integrity and accuracy of recurring reports and data pipelines, proactively resolving complex data discrepancies. Manage and adapt reporting structures to accommodate complex client requirements, including fiscal calendar challenges. Investigate and resolve complex discrepancies between dashboards and manual reports, implementing long-term solutions for data consistency.
  • Strategic Support: Independently assess and forecast sales potential for prospects based on comprehensive data analysis and market insights, providing strategic input to sales teams. Contribute to the strategic development of new analytical products and services based on client needs and market trends.

Qualifications and Minimum Requirements:

  • Candidate will have at least 2 years of experience in analytics/reporting, with a strong focus on client-facing roles or significant project ownership. Successful candidates may bring experience from an agency, client, or consulting environment. Bachelor’s degree required.
  • Advanced Analytical Skills: Expert in analyzing and synthesizing complex information to understand issues, identify root causes, and propose optimal solutions. Demonstrated ability to independently translate ambiguous business requirements into precise analytical questions and comprehensive solution designs. Proven ability to utilize and expand prospective business models.
  • Technical Abilities: Proficiency in Microsoft Excel (including advanced functions, VBA), and strong experience with Business Intelligence (BI) tools (e.g., Tableau, Power BI, MicroStrategy) for dashboard development and data visualization. Proficiency in SQL for data extraction and manipulation is required. Familiarity with Python or R for advanced analytics and automation is highly beneficial.
  • Client & Stakeholder Management: Proven ability to independently manage diverse client and internal stakeholder relationships, effectively communicating complex analytical concepts to both technical and non-technical audiences. Builds strong networks and acts as a trusted advisor.
  • Organizing and Planning: Demonstrated ability to independently plan, organize, and prioritize multiple complex projects, effectively balancing resources, skills, priorities, and timescales to achieve objectives.
  • Adaptability: Adaptable and proactive in responding to changing circumstances, effectively managing, solving problems, and providing innovative solutions in ambiguous environments.
  • Communicating Effectively: Written and verbal communication skills, with a proven ability to adjust messaging to fit diverse audiences and deliver compelling presentations that drive action.
  • Team Player: Proven ability to manage strong working relationships within the company, and actively contribute to team knowledge sharing, mentorship, and best practices.
  • Critical Thinking: Strong in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to complex problems.
  • Plan for Contingencies: Proactively identifies potential problems and independently creates robust contingency plans or “work-arounds” to ensure project success.
  • Understanding the Business: Knows the mission-critical technical and functional skills needed; understands various types of business propositions and how businesses operate. Continuously learns new methods and technologies.

Five Principles for Success:

  • Always improve, Always Advance - Only be satisfied with complete success - Kaizen
  • Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
  • Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
  • Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
  • Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Consultant, Advanced Analytics in London employer: Rakuten

Rakuten International is an exceptional employer that fosters a dynamic work culture in the heart of San Mateo, California. With a commitment to employee growth and development, we offer numerous opportunities for advancement within our global technology leader framework. Our collaborative environment encourages innovation and creativity, ensuring that every team member can contribute meaningfully while enjoying the benefits of working with a diverse and talented workforce.

Rakuten

Contact Details:

Rakuten Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Consultant, Advanced Analytics in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Rakuten!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Consultant, Advanced Analytics at Rakuten.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Rakuten.

Apply Directly through Our Website

When you find a suitable opening like Consultant, Advanced Analytics at Rakuten, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Consultant, Advanced Analytics in London

Advanced Analytical Skills
Client & Stakeholder Management
Technical Abilities
Data Quality Management
SQL
Business Intelligence Tools (e.g., Tableau, Power BI)
Microsoft Excel (including advanced functions, VBA)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Rakuten, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rakuten. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Rakuten

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Rakuten!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.