McKinsey & Company
Data Analytics Specialist

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Who You'll Work With
You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.
Your Impact
You will be the central people data intelligence hub for the European Regional Leadership, transforming complex people data into strategic insights that inform talent development, people planning, staffing, and organizational decisions across Europe.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Through your deep understanding of and access to people data and strategic analyses, you will contribute to shaping the future of our firm, ensuring we build efficient, diverse, and highly capable teams.
You will be part of the European Professional Development team, focused on business priorities. In this capacity, you will work closely with the global People Analytics & Measurement team and broader analytics ecosystem to drive innovation in analytics, leverage and build firm-wide capabilities, and continuously enhance analytics and reporting solutions. The People Analytics & Measurement group is a global team composed of data and analytics professionals who serve internal firm customers. Amongst other responsibilities, they handle 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.
You will take on key responsibilities spanning end-to-end analytics and reporting. You will act as the primary analytics partner for the European Professional Development Leadership, owning the entire analytics lifecycle from recurring reporting and dashboard management to critical, time-sensitive ad hoc analyses. For data management and dashboarding, you will extract, clean, and process complex datasets from Snowflake databases using programming languages like SQL, R, and emerging AI techniques. Additionally, you will use Posit Connect to build, maintain, and continuously improve interactive dashboards to monitor key people metrics.
To provide strategic insights, you will apply structured problem-solving to formulate and test hypotheses, deriving key takeaways and proactively presenting data-driven recommendations to European leadership. Furthermore, you will engage in cross-functional collaboration, partnering with Professional Development, Recruiting, Finance, and other stakeholders to deliver data-driven insights along the entire colleague lifecycle. Finally, you will support people planning by assisting the regional team in the talent planning process for the coming years, which includes gathering and testing assumptions on people metrics and running related analyses.


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Your Qualifications and Skills
- Bachelor's degree in Business Informatics, Finance, Economics, Statistics, Mathematics, Computer Science, or a related field with a strong analytical focus
- 1+ years of experience in analytics, business intelligence, controlling, or a related analytical function
- Proficiency in analytical tools and software such as R (preferred), Python, or other programming experience
- Advanced Microsoft Excel skills (including manipulating large datasets) and SQL for retrieving data from relational databases
- Experience developing dashboards, scorecards, and self-service reporting solutions using R Shiny or similar visualization platforms, coupled with the ability to collaborate effectively with centralized analytics teams to translate business needs into scalable reporting and analytics solutions
- Strong analytical and conceptual problem-solving skills, including experience conducting exploratory data analysis to understand data set characteristics and identify patterns, structure questions, formulate hypotheses, and derive practical recommendations
- Strong understanding of what an analysis implies and how it would be affected by changes in assumptions
- High level of ownership, attention to detail, and comfort navigating ambiguity, with a demonstrated ability to manage multiple priorities and deliver high-quality outcomes in a fast-paced environment
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