Data Analyst Specialist
McKinsey & Company
Data Analyst Specialist
Job ID: 95800
Your Impact
Your Growth
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
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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 $132,600 - $135,700 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.
FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.
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Job Skill Code - PLDS - Data Analytics Specialist
Function - Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Mar 07 00:00:00 GMT 2025
LinkedIn Posting City - London
LinkedIn Posting State/Province -
LinkedIn Posting Country - United Kingdom
LinkedIn Job Title - Data Analyst Specialist
LinkedIn Function - Analyst
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Mid-Senior level