Job Details

Business Intelligence Analyst & R Shiny Developer

Tampa, FL

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Job Description

You will be based in Atlanta or Tampa and will be part of McKinsey's People Analytics and Measurement (PAM) team, one of the world's leading global enterprise People Analytics teams. This group designs and executes projects supporting McKinsey’s people mission: to build a great firm that attracts, develops, excites, and retains exceptional people. The team is a collection of over twenty analysts and data scientists. Bright, driven colleagues with varied backgrounds focused on driving insight and action around key strategic people issues at McKinsey.

The team works in a highly collaborative environment, utilizes cutting edge analytics, publishing and collaboration technology, and partners with other teams within the organization to deliver meaningful innovation in people analytics.  It is a superb environment, known for the quality of its people and the scope to develop and learn advanced analytics and software development skills. The Business Intelligence group is specifically responsible for all reporting, performance metrics, and descriptive analytics enabling McKinsey to understand and optimize our people operations and measure the impact of our strategic initiatives.

You will work in the R ecosystem and utilize R Shiny extensively to provide a web based self-service tools to clients via the RStudio Connect sharing platform.

In this role you will work closely with other data analysts, data scientists, and data engineers to analyze the firm's people data and deliver analytics and insight to internal clients.  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 and reporting dashboards and interactive products. You will serve a variety of internal colleagues including the Chief People Officer, Regional and Location leadership, task forces and support key strategic initiatives. Your role may involve some collaboration with cross-functional colleagues on larger initiatives and may involve limited travel.

  • Bachelor's or graduate degree with focus in data analytics, mathematics, computer science, statistics, econometrics, or social science-organizational-operations research
  • Proficiency in SQL and R critical, experience in other languages such as Python a bonus. Technical assessments will be conducted during the selection process.
  • 2-3 years of relevant professional experience, with ideally 1-2 years working in the R ecosystem and designing R Shiny apps or dashboards.
  • Familiarity with visualizing data using plotly/ggplotly, d3.js, or similar software
  • Experience working with real-world data, including extracting it from production databases like Oracle and SQL Server and cleaning it to create analytically tractable data sets
  • Familiarity with software development methodologies like Agile, including issue/workflow tracking tools like Jira and version control tools like git and GitHub
  • Ability to intuit, understand and communicate the meaning of data analyses with individuals in a wide range of strategic and operational roles, in both written and oral form
  • Demonstrated success as an individual contributor within a broader team, eager to collaborate (often virtually), based on project and other circumstances
  • Comfort with dealing with ambiguity, making assumptions, and drawing conclusions
  • Ability to plan, prioritize and manage multiple projects, and to work effectively under pressure and with shifting priorities

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