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For Companies At a Glance
- Tasks: Collaborate with data scientists and engineers to bridge business needs and tech solutions.
- Company: Join McKinsey's innovative Transformatics team, driving data and AI products globally.
- Benefits: Enjoy flexible remote work options and a competitive bill rate based on experience.
- Why this job: Make an impact by enhancing analytics capabilities in McKinsey's flagship product, Wave.
- Qualifications: Bachelor's degree in relevant fields; certifications like CBAP or PMP are a plus.
- Other info: Ideal for those passionate about data analysis and eager to learn in a fast-paced environment.
Role = Business Analyst
Duration = 6 Months
Location UK remote
Bill Rate Flexible DOE
Business Analyst I – Transformatics
Who You’ll Work With
- You will work in our McKinsey Transformation Client Capabilities Network in EMEA and will be part of our Wave Transformatics team.
- Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists, PMs and tech leads who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.
What You’ll Do
- You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants.
- As a data savvy Business Analyst, you will bridge the gap between business needs and technology solutions and be responsible for understanding business objectives and requirements, and work with both business stakeholders and technical teams to develop and implement effective solutions, and generate new types of insights. By doing so you will help bring advanced analytics capabilities into one of McKinsey’s flagship products, named \”Wave\”, and your work will contribute to adapt the way McKinsey runs Transformations, leveraging data science assets, to improve the odds of success for our clients.
In this role, you will be typically involved in following tasks:
- Data exploration: you will contribute to improve quantity and quality of the data we collect, collaborating closely with our team of data engineers and supporting the design of new analyses with our data scientists
- Creation of key business metrics: you will analyze data and collaborate with stakeholders to create new insights leveraging the latest and greatest data from our data set, including the recent outputs of our LLM classifying system.
Qualifications
- Bachelor\’s Degree in Computer Science, Information Technology, Business Administration, or a related field is typically required. Professional certifications such as Certified Business Analysis Professional (CBAP) or Project Management Professional (PMP) are advantageous. Advanced degree is a strong plus
- Relevant work experience in business analysis, IT consulting, or a related field may be preferred
- Strong data translation and presentation skills, able to clearly and effectively communicate complex analytical content will be required in this role
- Proficiency in gathering and documenting business requirements using various techniques such as interviews, workshops, and surveys
- Ability to adapt and learn quickly, keeping up with technological advancements and industry best practices
- Solid problem-solving and experience with data analysis, data modeling, and SQL queries to analyze and interpret complex data sets.
- Strong attention to detail and ability to prioritize tasks in a fast-paced environment
- Excellent documentation and report writing skills to effectively communicate findings and recommendations
- Familiarity with IT systems, databases, and software applications commonly used in the industry. Exposure to tools like Excel, Snowflake and Tableau is a plus
Business Analyst employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Excel, Snowflake, and Tableau. Having hands-on experience or even just a solid understanding of these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics and business analysis fields. Join relevant online forums or LinkedIn groups where you can engage with others who work in similar roles. This can provide insights into the industry and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your problem-solving skills and how you've used data to drive business decisions in past roles. Be ready to share specific examples that demonstrate your ability to bridge the gap between business needs and technology solutions.
✨Tip Number 4
Stay updated on the latest trends in data analytics and AI, especially those relevant to business transformation. Being knowledgeable about current advancements will not only help you in interviews but also show your commitment to continuous learning in this fast-paced field.
We think you need these skills to ace Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in business analysis, IT consulting, and data analytics. Emphasise any specific projects where you've collaborated with technical teams or developed insights from data.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Business Analyst role at McKinsey. Mention your understanding of their Wave Transformatics team and how your skills align with their needs, particularly in data exploration and creating business metrics.
Showcase Your Skills: Highlight your proficiency in gathering and documenting business requirements, as well as your experience with SQL queries and data modelling. Provide examples of how you've effectively communicated complex analytical content in previous roles.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and concise, reflecting your strong documentation and report writing skills.
How to prepare for a job interview at Russell Tobin
✨Understand the Role
Make sure you have a clear understanding of what a Business Analyst does, especially in the context of data and AI products. Familiarise yourself with the specific responsibilities mentioned in the job description, such as data exploration and creating key business metrics.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis, SQL queries, and any relevant tools like Excel, Snowflake, or Tableau. Highlight specific projects where you've successfully translated complex data into actionable insights.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice explaining complex analytical concepts in simple terms. You might be asked to demonstrate how you would present findings to both technical and non-technical stakeholders.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities and how you would handle real-world challenges. Think about past experiences where you had to bridge the gap between business needs and technology solutions.
