Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

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 Growth

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 qualifications and skills

Bachelor's or graduate degree with focus or specialization in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or similar field
1+ years of relevant professional experience in analytics demonstrating success as an individual contributor within a broader team
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, eager to collaborate with a team (often virtually) and to engage in independent work, based on project and other circumstances
Ability to understand and communicate the meaning of analyses with individuals in a wide range of strategic and operational roles, in both written and oral form
Technical and analytic experience including experience with analytical tools and software such as R (preferred), Python, Tableau, Alteryx, or other programming experience
Proficiency in SQL, including experience retrieving data from relational databases
Exploratory data analysis to understand the characteristics of a data set and identify patterns
Advanced skills with Microsoft Excel, including manipulating large datasets
Intuitive understanding of what the analysis implies and how it would be affected by changes in assumptions
Comfort with dealing with ambiguity, making assumptions, and drawing conclusions
Substantial technical experience working with real-world data, including extracting it from production databases like Oracle, SQL Server, Snowflake 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
Familiarity with visualizing data using ggplot2, matplotlib, d3.js, Tableau, or similar software

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Capabilities

Technology

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $82,200 - $84,200 USD —to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - CSSA
Job Skill Code - PLA - Data Analyst
Function - Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Mar 07 00:00:00 GMT 2025
LinkedIn Posting City - Lisbon
LinkedIn Posting State/Province -
LinkedIn Posting Country - Portugal
LinkedIn Job Title - Data Analyst - People Analytics
LinkedIn Function - Analyst
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Associate

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