Data Analyst Specialist

McKinsey & Company
parental leave, paid time off
United States, Georgia, Atlanta
Mar 07, 2025
People & HR Data Analyst Specialist Job ID: 95800 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 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 Please review the additional requirements regarding essential job functions of McKinsey colleagues. Apply Now Apply Later 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. Job Skill Group - N/A 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