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- Tasks: Collaborate with data scientists and engineers to bridge business needs and tech solutions.
- Company: Join McKinsey's innovative Transformatics team, shaping the future of data and AI products.
- Benefits: Enjoy flexible working hours and the chance to work remotely from anywhere in the UK.
- Why this job: Be part of a dynamic team transforming industries through advanced analytics and data science.
- Qualifications: Bachelor's degree in relevant fields; experience in business analysis or IT consulting preferred.
- Other info: Opportunity to work on McKinsey's flagship product, 'Wave', enhancing client transformation success.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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 mentioned in the job description, such as SQL, Excel, Snowflake, and Tableau. Having hands-on experience or even completing online courses on these platforms can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the data analytics and business analysis fields. Join relevant LinkedIn groups or attend industry meetups to connect with individuals who may provide insights or referrals for opportunities at StudySmarter.
✨Tip Number 3
Prepare to discuss your problem-solving skills and how you've used data analysis 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 science and analytics, especially in relation to AI and machine learning. Being knowledgeable about current advancements will not only help you in interviews but also show your commitment to continuous learning.
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. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the responsibilities. Mention specific experiences where you've successfully bridged the gap between business needs and technology solutions.
Showcase Your Data Skills: In your application, emphasise your proficiency in data analysis, SQL queries, and any relevant tools like Excel, Snowflake, or Tableau. Provide examples of how you've used these skills to create insights or solve problems.
Highlight Soft Skills: Don't forget to mention your strong communication skills and ability to work in a team. The role requires collaboration with various stakeholders, so demonstrating your interpersonal skills will be beneficial.
How to prepare for a job interview at Russell Tobin
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Business Analyst, especially in the context of data and AI products. Familiarise yourself with terms like data exploration, business metrics, and analytics methodologies to demonstrate your knowledge during the interview.
✨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, as this is crucial for the role.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex analytical concepts in simple terms. Use examples from your past experiences to illustrate how you've effectively communicated findings to stakeholders.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities and adaptability. Think of examples where you've had to quickly learn new technologies or adapt to changing business needs, and be ready to discuss how you approached those situations.
