At a Glance
- 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 Β£ per year.
Job Description
6 months contract can be extended as well/ Hybrid/25-35 pounds an hour Inside ir 35/London
Job Description
- This is a compliance, operations and data analytics-based role. The candidate is expected to perform operations-based duties in order to understand the full scope of the assignment.
- The candidate is expected to own their own workflow and follow established processes aimed at maintaining data integrity.
- The ideal candidate should possess a forward-thinking mindset; learning the project they are assigned and then seeing if there is any room for process improvement or driving automated solutions.
- Analyze asset data, propose process improvement, and drive system enhancements for asset management.
- Use a combination of analysis and intuition to define, validate, and combine datasets across multiple sources
- Ability to understand, simplify, statistically analyze, and effectively interpret data and report problems through written and/or graphical formats
- Drive weekly team output while driving side project based on business need.
- Assist in solution testing, debugging and documentation and system issue support.
- Ability to analyze repetitive work and drive automated solutions
- Drafting of new Standard Operating Procedures (SOPs), Work Instructions, Guidelines by coordinating with functional heads, respective managers, and subject matters experts.
- Use Visio, diagrams and flow charts that increase the user's comprehension of material.
- Independently gather information from subject matter experts to develop, organize, and write procedure manuals, technical specifications, and process documentation
- Conduct and support review cycles of new and existing documentation
- Identify opportunities in processes and recommend improvements
Skills:
- β’ Verbal and written communication skills, attention to detail, customer service and interpersonal skills.
- Ability to work independently and manage oneβs time.
- Knowledge of business and management principles involved in strategic planning.
- Previous experience with computer applications, such as Microsoft Word and Excel; Enterprise Application experience a plus.
- Ability to Develop, review and map processes, workflows, and technical documentation
- Demonstrated ability designing effective solutions to complex problems; intuitive/natural aptitude for problem solving.
- Have a Good Understanding of Compliance, Privacy, and Data regulations in Europe.
Education/Experience:
β’ Bachelor's degree in business management, economics, finance, accounting or relevant field required.
Business Analyst employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Business Analyst
β¨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.
β¨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.
β¨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.
β¨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 π«‘
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
β¨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.
β¨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.
β¨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.
β¨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.