McKinsey-posted 9 months ago
Phoenix, AZ
Professional, Scientific, and Technical Services

As a Data Analytics Specialist, you will be at the forefront of transforming data into actionable insights that drive global service delivery enhancements. In this role, you will provide critical insights to service line leaders, empowering them to make data-driven decisions that improve service delivery. You will develop and maintain advanced analytics solutions, dashboards, and models to monitor and forecast operational performance. Identifying trends and opportunities for improvement, you will proactively address issues with relevant teams. Enhancing operational efficiency through automation and machine learning, you will ensure data accuracy and compliance. You will communicate insights and recommendations clearly to stakeholders, helping them understand the implications of the data. Additionally, you will promote best practices in analytics and foster a culture of data literacy and self-reliance among stakeholders.

  • Provide critical insights to service line leaders for data-driven decision making.
  • Develop and maintain advanced analytics solutions, dashboards, and models.
  • Monitor and forecast operational performance.
  • Identify trends and opportunities for improvement.
  • Address issues proactively with relevant teams.
  • Enhance operational efficiency through automation and machine learning.
  • Ensure data accuracy and compliance.
  • Communicate insights and recommendations to stakeholders.
  • Promote best practices in analytics and foster a culture of data literacy.
  • Bachelor's or master's degree in data analytics, statistics, mathematics, computer science, social science research, operations research, econometrics, or a related field.
  • Years of professional experience in applied analytics or research.
  • Proficiency in data visualization tools like Tableau and experience in creating and maintaining dashboards and reports.
  • Expertise in applying statistical methods, analytics, and machine learning using tools such as R, Python, Alteryx, etc.
  • Understanding of generative AI applications in data analytics.
  • Strong skills in SQL and experience with real-world data extraction and cleaning from databases like Oracle, SQL Server, Snowflake, AWS.
  • Familiarity with Agile methodologies and tools like Jira, Trello.
  • Knowledge of digital product lifecycle and experience collaborating with designers, technical, and business teams.
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills to articulate insights, implications, and recommendations effectively.
  • Ability to manage multiple projects and prioritize tasks under pressure.
  • A flexible working style, capable of working both independently and collaboratively.
  • A customer-focused mindset with a commitment to quality.
  • The ability to navigate and influence various stakeholder groups effectively.
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