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For Companies At a Glance
- Tasks: Analyse people data to support strategic initiatives and improve organisational performance.
- Company: Join a dynamic team of over seventy data professionals focused on innovative people analytics.
- Benefits: Enjoy flexible working options, collaborative culture, and opportunities for professional growth.
- Why this job: Make a real impact by translating data into actionable insights that drive business decisions.
- Qualifications: Bachelor's or Master’s in relevant fields with 4+ years of analytics experience required.
- Other info: Familiarity with Agile methodologies and data visualisation tools is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Who You'll Work With
People Analytics and Measurement is a team composed of over seventy data and analytics professionals who serve internal firm customers. The Business Intelligence group is responsible for all reporting, performance metrics, and descriptive analytics enabling the firm to understand and optimize our people operations, and measure the impact of our strategic initiatives. The team works in a highly collaborative environment, partnering with other teams to deliver meaningful innovation in people analytics.
Your Impact
As a People Analytics and Measurement Data Analyst, you will work closely with data analysts, data scientists, and data engineers to extract, clean, and analyze the firm's people data. You will develop fluency in the firm's people systems and combine this with your analytical knowledge to help translate business questions into rigorous analysis. You will be responsible for supporting projects that examine the firm’s feedback and evaluation processes, headcount planning, staffing, feedback, surveys and organizational health and performance metrics. You will communicate the results of the analysis to the team's internal clients, helping them understand the results and suggesting potential actions supported by the results.
Your Qualifications and Skills
- Bachelor's or Master’s Degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field
- Minimum of 4 years of professional experience in applied analytics or research
- Success as an individual contributor within a broader team, with some examples of leading others on projects
- Solid analytical and data management skills
- Ability to plan, prioritize and manage multiple projects, and to work effectively under pressure and with shifting priorities
- Flexibility in working style, willingness to collaborate with a team virtually, and ability to work independently based on project and other circumstances
- Ability to synthesize quantitative and qualitative findings into actionable insights and communicate them effectively
- Technical and analytical experience, including analytical tools and software such as R (preferred), Python, Tableau, Alteryx, Knime, or other programming experience
- Proficiency in SQL, including experience retrieving data from relational databases
- Understanding of digital product lifecycle
- Exploratory data analysis, including web analytics platforms, to understand the characteristics of a data set and identify patterns
- Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
- Comfort in dealing with ambiguity, making assumptions, and drawing conclusions
- Work experience with real-world data, including extracting it from production databases like Oracle, SQL Server, Snowflake, AWS, and cleaning it to create analytically tractable data sets
- Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and Trello, and version control tools like git and GitHub
- Experience with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software
Data Analyst Specialist employer: McKinsey & Company
Contact Detail:
McKinsey & Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Specialist
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as R, Python, and SQL. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during interviews.
✨Tip Number 2
Showcase your collaborative skills by preparing examples of past projects where you worked effectively within a team. Highlight how you contributed to the success of those projects, especially in a data-driven environment.
✨Tip Number 3
Brush up on your ability to communicate complex data insights clearly. Practice explaining your analysis and findings to someone without a technical background, as this skill is crucial for the role.
✨Tip Number 4
Stay updated on trends in people analytics and organisational health metrics. Being knowledgeable about current industry practices will help you engage in meaningful discussions during interviews and show your genuine interest in the field.
We think you need these skills to ace Data Analyst Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, statistics, and any specific tools mentioned in the job description, such as R, Python, or SQL. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about people analytics and how your skills align with the company's needs. Provide examples of past projects where you successfully analysed data and communicated insights.
Showcase Technical Skills: Clearly outline your technical skills in your application. Mention your proficiency in analytical tools and software, and provide specific examples of how you've used these tools in previous roles to drive results.
Highlight Collaborative Experience: Since the role involves working closely with various teams, emphasise your experience in collaborative projects. Share instances where you led or contributed to team efforts, showcasing your ability to work effectively under pressure and manage multiple priorities.
How to prepare for a job interview at McKinsey & Company
✨Showcase Your Analytical Skills
Be prepared to discuss specific projects where you've applied your analytical skills. Highlight how you extracted, cleaned, and analysed data, and be ready to explain the impact of your findings on business decisions.
✨Familiarise Yourself with Relevant Tools
Make sure you are comfortable discussing tools like R, Python, SQL, and Tableau. If you have experience with any specific software mentioned in the job description, be ready to share examples of how you've used them effectively.
✨Demonstrate Collaboration Experience
Since the role involves working closely with various teams, prepare examples that showcase your ability to collaborate. Discuss how you’ve worked in a team setting, especially in virtual environments, and how you contributed to achieving common goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in ambiguous situations. Think of scenarios where you had to make assumptions or draw conclusions from incomplete data, and be ready to explain your thought process.
